Update app.py

app.py

@@ -1,109 +1,674 @@
-import os
-import re
-import time
-import requests
-import logging
-import folium
-import gradio as gr
-import tempfile
-import torch
-from datetime import datetime
-import numpy as np
-from gtts import gTTS
-from googlemaps import Client as GoogleMapsClient
-from diffusers import StableDiffusion3Pipeline
-import concurrent.futures
-from PIL import Image
-
-from langchain_openai import OpenAIEmbeddings, ChatOpenAI
-from langchain_pinecone import PineconeVectorStore
-from langchain.prompts import PromptTemplate
-from langchain.chains import RetrievalQA
-from langchain.chains.conversation.memory import ConversationBufferWindowMemory
-from langchain.agents import Tool, initialize_agent
-from huggingface_hub import login
-
-# Check if the token is already set in the environment variables
-hf_token = os.getenv("HF_TOKEN")
-
-if hf_token is None:
-    # If the token is not set, prompt for it (this should be done securely)
-    print("Please set your Hugging Face token in the environment variables.")
-else:
-    # Login using the token
-    login(token=hf_token)
-
-# Your application logic goes here
-print("Logged in successfully to Hugging Face Hub!")
+# import os
+# import re
+# import time
+# import requests
+# import logging
+# import folium
+# import gradio as gr
+# import tempfile
+# import torch
+# from datetime import datetime
+# import numpy as np
+# from gtts import gTTS
+# from googlemaps import Client as GoogleMapsClient
+# from diffusers import StableDiffusion3Pipeline
+# import concurrent.futures
+# from PIL import Image
+
+# from langchain_openai import OpenAIEmbeddings, ChatOpenAI
+# from langchain_pinecone import PineconeVectorStore
+# from langchain.prompts import PromptTemplate
+# from langchain.chains import RetrievalQA
+# from langchain.chains.conversation.memory import ConversationBufferWindowMemory
+# from langchain.agents import Tool, initialize_agent
+# from huggingface_hub import login
+
+# # Check if the token is already set in the environment variables
+# hf_token = os.getenv("HF_TOKEN")
+
+# if hf_token is None:
+#     # If the token is not set, prompt for it (this should be done securely)
+#     print("Please set your Hugging Face token in the environment variables.")
+# else:
+#     # Login using the token
+#     login(token=hf_token)
+
+# # Your application logic goes here
+# print("Logged in successfully to Hugging Face Hub!")
+
+
+
+# # Set up logging
+# logging.basicConfig(level=logging.DEBUG)
+
+# # Initialize OpenAI embeddings
+# embeddings = OpenAIEmbeddings(api_key=os.environ['OPENAI_API_KEY'])
+
+# # Initialize Pinecone
+# from pinecone import Pinecone
+# pc = Pinecone(api_key=os.environ['PINECONE_API_KEY'])
+
+# index_name = "omaha-details"
+# vectorstore = PineconeVectorStore(index_name=index_name, embedding=embeddings)
+# retriever = vectorstore.as_retriever(search_kwargs={'k': 5})
+
+# # Initialize ChatOpenAI model
+# chat_model = ChatOpenAI(api_key=os.environ['OPENAI_API_KEY'],
+#                         temperature=0, model='gpt-4o')
+
+# conversational_memory = ConversationBufferWindowMemory(
+#     memory_key='chat_history',
+#     k=10,
+#     return_messages=True
+# )
+
+# def get_current_time_and_date():
+#     now = datetime.now()
+#     return now.strftime("%Y-%m-%d %H:%M:%S")
+
+# # Example usage
+# current_time_and_date = get_current_time_and_date()
+
+# # def fetch_local_events():
+# #     api_key = os.environ['SERP_API']
+# #     url = f'https://serpapi.com/search.json?engine=google_events&q=Events+in+Omaha&hl=en&gl=us&api_key={api_key}'
+
+# #     response = requests.get(url)
+# #     if response.status_code == 200:
+# #         events_results = response.json().get("events_results", [])
+# #         events_html = """
+# #         <h2 style="font-family: 'Georgia', serif; color: #4CAF50; background-color: #f8f8f8; padding: 10px; border-radius: 10px;">Local Events</h2>
+# #         <style>
+# #             .event-item {
+# #                 font-family: 'Verdana', sans-serif;
+# #                 color: #333;
+# #                 background-color: #f0f8ff;
+# #                 margin-bottom: 15px;
+# #                 padding: 10px;
+# #                 border: 1px solid #ddd;
+# #                 border-radius: 5px;
+# #                 border: 2px solid red;  /* Added red border */
+# #                 transition: box-shadow 0.3s ease, background-color 0.3s ease;
+# #                 font-weight: bold;
+# #             }
+# #             .event-item:hover {
+# #                 box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
+# #                 background-color: #e6f7ff;
+# #             }
+# #             .event-item a {
+# #                 color: #1E90FF;
+# #                 text-decoration: none;
+# #                 font-weight: bold;
+# #             }
+# #             .event-item a:hover {
+# #                 text-decoration: underline;
+# #             }
+# #             .event-preview {
+# #                 position: absolute;
+# #                 display: none;
+# #                 border: 1px solid #ccc;
+# #                 border-radius: 5px;
+# #                 box-shadow: 0 2px 4px rgba(0, 0, 0, 0.2);
+# #                 background-color: white;
+# #                 z-index: 1000;
+# #                 max-width: 300px;
+# #                 padding: 10px;
+# #                 font-family: 'Verdana', sans-serif;
+# #                 color: #333;
+# #             }
+# #         </style>
+# #         <script>
+# #             function showPreview(event, previewContent) {
+# #                 var previewBox = document.getElementById('event-preview');
+# #                 previewBox.innerHTML = previewContent;
+# #                 previewBox.style.left = event.pageX + 'px';
+# #                 previewBox.style.top = event.pageY + 'px';
+# #                 previewBox.style.display = 'block';
+# #             }
+# #             function hidePreview() {
+# #                 var previewBox = document.getElementById('event-preview');
+# #                 previewBox.style.display = 'none';
+# #             }
+# #         </script>
+# #         <div id="event-preview" class="event-preview"></div>
+# #         """
+# #         for index, event in enumerate(events_results):
+# #             title = event.get("title", "No title")
+# #             date = event.get("date", "No date")
+# #             location = event.get("address", "No location")
+# #             link = event.get("link", "#")
+# #             events_html += f"""
+# #             <div class="event-item" onmouseover="showPreview(event, 'Date: {date}<br>Location: {location}')" onmouseout="hidePreview()">
+# #                 <a href='{link}' target='_blank'>{index + 1}. {title}</a>
+# #                 <p>Date: {date}<br>Location: {location}</p>
+# #             </div>
+# #             """
+# #         return events_html
+# #     else:
+# #         return "<p>Failed to fetch local events</p>"
+
+# # def fetch_local_events():
+# #     api_key = os.environ['SERP_API']
+# #     url = f'https://serpapi.com/search.json?engine=google_events&q=Events+in+Omaha&hl=en&gl=us&api_key={api_key}'
+
+# #     response = requests.get(url)
+# #     if response.status_code == 200:
+# #         events_results = response.json().get("events_results", [])
+# #         events_html = """
+# #         <h2 style="font-family: 'Georgia', serif; color: #ff0000; background-color: #f8f8f8; padding: 10px; border-radius: 10px;">Local Events</h2>
+# #         <style>
+# #             .event-item {
+# #                 font-family: 'Verdana', sans-serif;
+# #                 color: #333;
+# #                 background-color: #f0f8ff;
+# #                 margin-bottom: 15px;
+# #                 padding: 10px;
+# #                 border-radius: 5px;
+# #                 transition: box-shadow 0.3s ease, background-color 0.3s ease;
+# #                 font-weight: bold;
+# #             }
+# #             .event-item:hover {
+# #                 box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
+# #                 background-color: #e6f7ff;
+# #             }
+# #             .event-item a {
+# #                 color: #1E90FF;
+# #                 text-decoration: none;
+# #                 font-weight: bold;
+# #             }
+# #             .event-item a:hover {
+# #                 text-decoration: underline;
+# #             }
+# #             .event-preview {
+# #                 position: absolute;
+# #                 display: none;
+# #                 border: 1px solid #ccc;
+# #                 border-radius: 5px;
+# #                 box-shadow: 0 2px 4px rgba(0, 0, 0, 0.2);
+# #                 background-color: white;
+# #                 z-index: 1000;
+# #                 max-width: 300px;
+# #                 padding: 10px;
+# #                 font-family: 'Verdana', sans-serif;
+# #                 color: #333;
+# #             }
+# #         </style>
+# #         <script>
+# #             function showPreview(event, previewContent) {
+# #                 var previewBox = document.getElementById('event-preview');
+# #                 previewBox.innerHTML = previewContent;
+# #                 previewBox.style.left = event.pageX + 'px';
+# #                 previewBox.style.top = event.pageY + 'px';
+# #                 previewBox.style.display = 'block';
+# #             }
+# #             function hidePreview() {
+# #                 var previewBox = document.getElementById('event-preview');
+# #                 previewBox.style.display = 'none';
+# #             }
+# #         </script>
+# #         <div id="event-preview" class="event-preview"></div>
+# #         """
+# #         for index, event in enumerate(events_results):
+# #             title = event.get("title", "No title")
+# #             date = event.get("date", "No date")
+# #             location = event.get("address", "No location")
+# #             link = event.get("link", "#")
+# #             events_html += f"""
+# #             <div class="event-item" onmouseover="showPreview(event, 'Date: {date}<br>Location: {location}')" onmouseout="hidePreview()">
+# #                 <a href='{link}' target='_blank'>{index + 1}. {title}</a>
+# #                 <p>Date: {date}<br>Location: {location}</p>
+# #             </div>
+# #             """
+# #         return events_html
+# #     else:
+# #         return "<p>Failed to fetch local events</p>"
 
+# def fetch_local_events():
+#     api_key = os.environ['SERP_API']
+#     url = f'https://serpapi.com/search.json?engine=google_events&q=Events+in+Omaha&hl=en&gl=us&api_key={api_key}'
 
+#     response = requests.get(url)
+#     if response.status_code == 200:
+#         events_results = response.json().get("events_results", [])
+#         events_html = """
+#         <h2 style="font-family: 'Georgia', serif; color: #ff0000; background-color: #f8f8f8; padding: 10px; border-radius: 10px;">Local Events</h2>
+#         <style>
+#             .event-item {
+#                 font-family: 'Verdana', sans-serif;
+#                 color: #333;
+#                 margin-bottom: 15px;
+#                 padding: 10px;
+#                 font-weight: bold;
+#             }
+#             .event-item a {
+#                 color: #1E90FF;
+#                 text-decoration: none;
+#             }
+#             .event-item a:hover {
+#                 text-decoration: underline;
+#             }
+#         </style>
+#         """
+#         for index, event in enumerate(events_results):
+#             title = event.get("title", "No title")
+#             date = event.get("date", "No date")
+#             location = event.get("address", "No location")
+#             link = event.get("link", "#")
+#             events_html += f"""
+#             <div class="event-item">
+#                 <a href='{link}' target='_blank'>{index + 1}. {title}</a>
+#                 <p>Date: {date}<br>Location: {location}</p>
+#             </div>
+#             """
+#         return events_html
+#     else:
+#         return "<p>Failed to fetch local events</p>"
 
-# Set up logging
-logging.basicConfig(level=logging.DEBUG)
 
-# Initialize OpenAI embeddings
-embeddings = OpenAIEmbeddings(api_key=os.environ['OPENAI_API_KEY'])
+# # def fetch_local_weather():
+# #     try:
+# #         api_key = os.environ['WEATHER_API']
+# #         url = f'https://weather.visualcrossing.com/VisualCrossingWebServices/rest/services/timeline/omaha?unitGroup=metric&include=events%2Calerts%2Chours%2Cdays%2Ccurrent&key={api_key}'
+# #         response = requests.get(url)
+# #         response.raise_for_status()
+# #         jsonData = response.json()
+        
+# #         current_conditions = jsonData.get("currentConditions", {})
+# #         temp_celsius = current_conditions.get("temp", "N/A")
+        
+# #         if temp_celsius != "N/A":
+# #             temp_fahrenheit = int((temp_celsius * 9/5) + 32)
+# #         else:
+# #             temp_fahrenheit = "N/A"
+            
+# #         condition = current_conditions.get("conditions", "N/A")
+# #         humidity = current_conditions.get("humidity", "N/A")
+
+# #         weather_html = f"""
+# #         <div class="weather-theme">
+# #             <h2 style="font-family: 'Georgia', serif; color: #4CAF50; background-color: #f8f8f8; padding: 10px; border-radius: 10px;">Local Weather</h2>
+# #             <div class="weather-content">
+# #                 <div class="weather-icon">
+# #                     <img src="https://www.weatherbit.io/static/img/icons/{get_weather_icon(condition)}.png" alt="{condition}" style="width: 100px; height: 100px;">
+# #                 </div>
+# #                 <div class="weather-details">
+# #                     <p style="font-family: 'Verdana', sans-serif; color: #333; font-size: 1.2em;">Temperature: {temp_fahrenheit}°F</p>
+# #                     <p style="font-family: 'Verdana', sans-serif; color: #333; font-size: 1.2em;">Condition: {condition}</p>
+# #                     <p style="font-family: 'Verdana', sans-serif; color: #333; font-size: 1.2em;">Humidity: {humidity}%</p>
+# #                 </div>
+# #             </div>
+# #         </div>
+# #         <style>
+# #             .weather-theme {{
+# #                 animation: backgroundAnimation 10s infinite alternate;
+# #                 border: 2px solid red;  /* Added red border */
+# #                 border-radius: 10px;
+# #                 padding: 10px;
+# #                 margin-bottom: 15px;
+# #                 background: linear-gradient(45deg, #ffcc33, #ff6666, #ffcc33, #ff6666);
+# #                 background-size: 400% 400%;
+# #                 box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
+# #                 transition: box-shadow 0.3s ease, background-color 0.3s ease;
+# #             }}
+# #             .weather-theme:hover {{
+# #                 box-shadow: 0 8px 16px rgba(0, 0, 0, 0.2);
+# #                 background-position: 100% 100%;
+# #             }}
+# #             @keyframes backgroundAnimation {{
+# #                 0% {{ background-position: 0% 50%; }}
+# #                 100% {{ background-position: 100% 50%; }}
+# #             }}
+# #             .weather-content {{
+# #                 display: flex;
+# #                 align-items: center;
+# #             }}
+# #             .weather-icon {{
+# #                 flex: 1;
+# #             }}
+# #             .weather-details {{
+# #                 flex: 3;
+# #             }}
+# #         </style>
+# #         """
+# #         return weather_html
+# #     except requests.exceptions.RequestException as e:
+# #         return f"<p>Failed to fetch local weather: {e}</p>"
+# def fetch_local_weather():
+#     try:
+#         api_key = os.environ['WEATHER_API']
+#         url = f'https://weather.visualcrossing.com/VisualCrossingWebServices/rest/services/timeline/omaha?unitGroup=metric&include=events%2Calerts%2Chours%2Cdays%2Ccurrent&key={api_key}'
+#         response = requests.get(url)
+#         response.raise_for_status()
+#         jsonData = response.json()
+        
+#         current_conditions = jsonData.get("currentConditions", {})
+#         temp_celsius = current_conditions.get("temp", "N/A")
+        
+#         if temp_celsius != "N/A":
+#             temp_fahrenheit = int((temp_celsius * 9/5) + 32)
+#         else:
+#             temp_fahrenheit = "N/A"
+            
+#         condition = current_conditions.get("conditions", "N/A")
+#         humidity = current_conditions.get("humidity", "N/A")
 
-# Initialize Pinecone
-from pinecone import Pinecone
-pc = Pinecone(api_key=os.environ['PINECONE_API_KEY'])
+#         weather_html = f"""
+#         <div class="weather-theme">
+#             <h2 style="font-family: 'Georgia', serif; color: #ff0000; background-color: #f8f8f8; padding: 10px; border-radius: 10px;">Local Weather</h2>
+#             <div class="weather-content">
+#                 <div class="weather-icon">
+#                     <img src="https://www.weatherbit.io/static/img/icons/{get_weather_icon(condition)}.png" alt="{condition}" style="width: 100px; height: 100px;">
+#                 </div>
+#                 <div class="weather-details">
+#                     <p style="font-family: 'Verdana', sans-serif; color: #333; font-size: 1.2em;">Temperature: {temp_fahrenheit}°F</p>
+#                     <p style="font-family: 'Verdana', sans-serif; color: #333; font-size: 1.2em;">Condition: {condition}</p>
+#                     <p style="font-family: 'Verdana', sans-serif; color: #333; font-size: 1.2em;">Humidity: {humidity}%</p>
+#                 </div>
+#             </div>
+#         </div>
+#         <style>
+#             .weather-theme {{
+#                 animation: backgroundAnimation 10s infinite alternate;
+#                 border-radius: 10px;
+#                 padding: 10px;
+#                 margin-bottom: 15px;
+#                 background: linear-gradient(45deg, #ffcc33, #ff6666, #ffcc33, #ff6666);
+#                 background-size: 400% 400%;
+#                 box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
+#                 transition: box-shadow 0.3s ease, background-color 0.3s ease;
+#             }}
+#             .weather-theme:hover {{
+#                 box-shadow: 0 8px 16px rgba(0, 0, 0, 0.2);
+#                 background-position: 100% 100%;
+#             }}
+#             @keyframes backgroundAnimation {{
+#                 0% {{ background-position: 0% 50%; }}
+#                 100% {{ background-position: 100% 50%; }}
+#             }}
+#             .weather-content {{
+#                 display: flex;
+#                 align-items: center;
+#             }}
+#             .weather-icon {{
+#                 flex: 1;
+#             }}
+#             .weather-details {{
+#                 flex: 3;
+#             }}
+#         </style>
+#         """
+#         return weather_html
+#     except requests.exceptions.RequestException as e:
+#         return f"<p>Failed to fetch local weather: {e}</p>"
 
-index_name = "omaha-details"
-vectorstore = PineconeVectorStore(index_name=index_name, embedding=embeddings)
-retriever = vectorstore.as_retriever(search_kwargs={'k': 5})
+# def get_weather_icon(condition):
+#     condition_map = {
+#         "Clear": "c01d",
+#         "Partly Cloudy": "c02d",
+#         "Cloudy": "c03d",
+#         "Overcast": "c04d",
+#         "Mist": "a01d",
+#         "Patchy rain possible": "r01d",
+#         "Light rain": "r02d",
+#         "Moderate rain": "r03d",
+#         "Heavy rain": "r04d",
+#         "Snow": "s01d",
+#         "Thunderstorm": "t01d",
+#         "Fog": "a05d",
+#     }
+#     return condition_map.get(condition, "c04d")
+
+# # Update prompt templates to include fetched details
+
+# current_time_and_date = get_current_time_and_date()
+
+
+
+# # Define prompt templates
+# template1 = """You are an expert concierge who is helpful and a renowned guide for Omaha, Nebraska. Based on weather being a sunny bright day and the today's date is 20th june 2024, use the following pieces of context, 
+# memory, and message history, along with your knowledge of perennial events in Omaha, Nebraska, to answer the question at the end. If you don't know the answer, just say "Homie, I need to get more data for this," and don't try to make up an answer. 
+# Use fifteen sentences maximum. Keep the answer as detailed as possible. Always include the address, time, date, and
+# event type and description. Always say "It was my pleasure!" at the end of the answer.
+# {context}
+# Question: {question}
+# Helpful Answer:"""
+
+# template2 = """You are an expert concierge who is helpful and a renowned guide for Omaha, Nebraska. Based on today's weather being a sunny bright day and today's date is 20th june 2024, take the location or address but don't show the location or address on the output prompts. Use the following pieces of context, 
+# memory, and message history, along with your knowledge of perennial events in Omaha, Nebraska, to answer the question at the end. If you don't know the answer, just say "Homie, I need to get more data for this," and don't try to make up an answer. 
+# Keep the answer short and sweet and crisp. Always say "It was my pleasure!" at the end of the answer.
+# {context}
+# Question: {question}
+# Helpful Answer:"""
+
+
+
+# QA_CHAIN_PROMPT_1 = PromptTemplate(input_variables=["context", "question"], template=template1)
+# QA_CHAIN_PROMPT_2 = PromptTemplate(input_variables=["context", "question"], template=template2)
+
+
+# # Define the retrieval QA chain
+# def build_qa_chain(prompt_template):
+#     qa_chain = RetrievalQA.from_chain_type(
+#         llm=chat_model,
+#         chain_type="stuff",
+#         retriever=retriever,
+#         chain_type_kwargs={"prompt": prompt_template}
+#     )
+#     tools = [
+#         Tool(
+#             name='Knowledge Base',
+#             func=qa_chain,
+#             description='Use this tool when answering general knowledge queries to get more information about the topic'
+#         )
+#     ]
+#     return qa_chain, tools
+
+# # Define the agent initializer
+# def initialize_agent_with_prompt(prompt_template):
+#     qa_chain, tools = build_qa_chain(prompt_template)
+#     agent = initialize_agent(
+#         agent='chat-conversational-react-description',
+#         tools=tools,
+#         llm=chat_model,
+#         verbose=False,
+#         max_iteration=5,
+#         early_stopping_method='generate',
+#         memory=conversational_memory
+#     )
+#     return agent
+
+# # Define the function to generate answers
+# def generate_answer(message, choice):
+#     logging.debug(f"generate_answer called with prompt_choice: {choice}")
+    
+#     if choice == "Details":
+#         agent = initialize_agent_with_prompt(QA_CHAIN_PROMPT_1)
+#     elif choice == "Conversational":
+#         agent = initialize_agent_with_prompt(QA_CHAIN_PROMPT_2)
+#     else:
+#         logging.error(f"Invalid prompt_choice: {choice}. Defaulting to 'Conversational'")
+#         agent = initialize_agent_with_prompt(QA_CHAIN_PROMPT_2)
+#     response = agent(message)
 
-# Initialize ChatOpenAI model
-chat_model = ChatOpenAI(api_key=os.environ['OPENAI_API_KEY'],
-                        temperature=0, model='gpt-4o')
+#     # Extract addresses for mapping regardless of the choice
+#     addresses = extract_addresses(response['output'])
+#     return response['output'], addresses
+    
 
-conversational_memory = ConversationBufferWindowMemory(
-    memory_key='chat_history',
-    k=10,
-    return_messages=True
-)
 
-def get_current_time_and_date():
-    now = datetime.now()
-    return now.strftime("%Y-%m-%d %H:%M:%S")
+# def bot(history, choice):
+#     if not history:
+#         return history
+#     response, addresses = generate_answer(history[-1][0], choice)
+#     history[-1][1] = ""
+    
+#     # Generate audio for the entire response in a separate thread
+#     with concurrent.futures.ThreadPoolExecutor() as executor:
+#         audio_future = executor.submit(generate_audio_elevenlabs, response)
+        
+#         for character in response:
+#             history[-1][1] += character
+#             time.sleep(0.05)  # Adjust the speed of text appearance
+#             yield history, None
+        
+#         audio_path = audio_future.result()
+#         yield history, audio_path
 
-# Example usage
-current_time_and_date = get_current_time_and_date()
+    
+# def add_message(history, message):
+#     history.append((message, None))
+#     return history, gr.Textbox(value="", interactive=True, placeholder="Enter message or upload file...", show_label=False)
+
+# def print_like_dislike(x: gr.LikeData):
+#     print(x.index, x.value, x.liked)
+
+# def extract_addresses(response):
+#     if not isinstance(response, str):
+#         response = str(response)
+#     address_patterns = [
+#         r'([A-Z].*,\sOmaha,\sNE\s\d{5})',
+#         r'(\d{4}\s.*,\sOmaha,\sNE\s\d{5})',
+#         r'([A-Z].*,\sNE\s\d{5})',
+#         r'([A-Z].*,.*\sSt,\sOmaha,\sNE\s\d{5})',
+#         r'([A-Z].*,.*\sStreets,\sOmaha,\sNE\s\d{5})',
+#         r'(\d{2}.*\sStreets)',
+#         r'([A-Z].*\s\d{2},\sOmaha,\sNE\s\d{5})'
+#     ]
+#     addresses = []
+#     for pattern in address_patterns:
+#         addresses.extend(re.findall(pattern, response))
+#     return addresses
+
+# all_addresses = []
+
+# def generate_map(location_names):
+#     global all_addresses
+#     all_addresses.extend(location_names)
+    
+#     api_key = os.environ['GOOGLEMAPS_API_KEY']
+#     gmaps = GoogleMapsClient(key=api_key)
+    
+#     m = folium.Map(location=[41.2565, -95.9345], zoom_start=12)
+    
+#     for location_name in all_addresses:
+#         geocode_result = gmaps.geocode(location_name)
+#         if geocode_result:
+#             location = geocode_result[0]['geometry']['location']
+#             folium.Marker(
+#                 [location['lat'], location['lng']],
+#                 tooltip=f"{geocode_result[0]['formatted_address']}"
+#             ).add_to(m)
+    
+#     map_html = m._repr_html_()
+#     return map_html
+
+# # def fetch_local_news():
+# #     api_key = os.environ['SERP_API']
+# #     url = f'https://serpapi.com/search.json?engine=google_news&q=omaha headline&api_key={api_key}'
+# #     response = requests.get(url)
+# #     if response.status_code == 200:
+# #         results = response.json().get("news_results", [])
+# #         news_html = """
+# #         <h2 style="font-family: 'Georgia', serif; color: #4CAF50; background-color: #f8f8f8; padding: 10px; border-radius: 10px;">Omaha Today </h2>
+# #         <style>
+# #             .news-item {
+# #                 font-family: 'Verdana', sans-serif;
+# #                 color: #333;
+# #                 background-color: #f0f8ff;
+# #                 margin-bottom: 15px;
+# #                 padding: 10px;
+# #                 border: 2px solid red;  /* Added red border */
+# #                 border-radius: 5px;
+# #                 transition: box-shadow 0.3s ease, background-color 0.3s ease;
+# #                 font-weight: bold;
+# #             }
+# #             .news-item:hover {
+# #                 box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
+# #                 background-color: #e6f7ff;
+# #             }
+# #             .news-item a {
+# #                 color: #1E90FF;
+# #                 text-decoration: none;
+# #                 font-weight: bold;
+# #             }
+# #             .news-item a:hover {
+# #                 text-decoration: underline;
+# #             }
+# #             .news-preview {
+# #                 position: absolute;
+# #                 display: none;
+# #                 border: 1px solid #ccc;
+# #                 border-radius: 5px;
+# #                 box-shadow: 0 2px 4px rgba(0, 0, 0, 0.2);
+# #                 background-color: white;
+# #                 z-index: 1000;
+# #                 max-width: 300px;
+# #                 padding: 10px;
+# #                 font-family: 'Verdana', sans-serif;
+# #                 color: #333;
+# #             }
+# #         </style>
+# #         <script>
+# #             function showPreview(event, previewContent) {
+# #                 var previewBox = document.getElementById('news-preview');
+# #                 previewBox.innerHTML = previewContent;
+# #                 previewBox.style.left = event.pageX + 'px';
+# #                 previewBox.style.top = event.pageY + 'px';
+# #                 previewBox.style.display = 'block';
+# #             }
+# #             function hidePreview() {
+# #                 var previewBox = document.getElementById('news-preview');
+# #                 previewBox.style.display = 'none';
+# #             }
+# #         </script>
+# #         <div id="news-preview" class="news-preview"></div>
+# #         """
+# #         for index, result in enumerate(results[:7]):
+# #             title = result.get("title", "No title")
+# #             link = result.get("link", "#")
+# #             snippet = result.get("snippet", "")
+# #             news_html += f"""
+# #             <div class="news-item" onmouseover="showPreview(event, '{snippet}')" onmouseout="hidePreview()">
+# #                 <a href='{link}' target='_blank'>{index + 1}. {title}</a>
+# #                 <p>{snippet}</p>
+# #             </div>
+# #             """
+# #         return news_html
+# #     else:
+# #         return "<p>Failed to fetch local news</p>"
 
-# def fetch_local_events():
+# def fetch_local_news():
 #     api_key = os.environ['SERP_API']
-#     url = f'https://serpapi.com/search.json?engine=google_events&q=Events+in+Omaha&hl=en&gl=us&api_key={api_key}'
-
+#     url = f'https://serpapi.com/search.json?engine=google_news&q=omaha headline&api_key={api_key}'
 #     response = requests.get(url)
 #     if response.status_code == 200:
-#         events_results = response.json().get("events_results", [])
-#         events_html = """
-#         <h2 style="font-family: 'Georgia', serif; color: #4CAF50; background-color: #f8f8f8; padding: 10px; border-radius: 10px;">Local Events</h2>
+#         results = response.json().get("news_results", [])
+#         news_html = """
+#         <h2 style="font-family: 'Georgia', serif; color: #ff0000; background-color: #f8f8f8; padding: 10px; border-radius: 10px;">Omaha Today</h2>
 #         <style>
-#             .event-item {
+#             .news-item {
 #                 font-family: 'Verdana', sans-serif;
 #                 color: #333;
 #                 background-color: #f0f8ff;
 #                 margin-bottom: 15px;
 #                 padding: 10px;
-#                 border: 1px solid #ddd;
 #                 border-radius: 5px;
-#                 border: 2px solid red;  /* Added red border */
 #                 transition: box-shadow 0.3s ease, background-color 0.3s ease;
 #                 font-weight: bold;
 #             }
-#             .event-item:hover {
+#             .news-item:hover {
 #                 box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
 #                 background-color: #e6f7ff;
 #             }
-#             .event-item a {
+#             .news-item a {
 #                 color: #1E90FF;
 #                 text-decoration: none;
 #                 font-weight: bold;
 #             }
-#             .event-item a:hover {
+#             .news-item a:hover {
 #                 text-decoration: underline;
 #             }
-#             .event-preview {
+#             .news-preview {
 #                 position: absolute;
 #                 display: none;
 #                 border: 1px solid #ccc;
@@ -119,109 +684,327 @@ current_time_and_date = get_current_time_and_date()
 #         </style>
 #         <script>
 #             function showPreview(event, previewContent) {
-#                 var previewBox = document.getElementById('event-preview');
+#                 var previewBox = document.getElementById('news-preview');
 #                 previewBox.innerHTML = previewContent;
 #                 previewBox.style.left = event.pageX + 'px';
 #                 previewBox.style.top = event.pageY + 'px';
 #                 previewBox.style.display = 'block';
 #             }
 #             function hidePreview() {
-#                 var previewBox = document.getElementById('event-preview');
+#                 var previewBox = document.getElementById('news-preview');
 #                 previewBox.style.display = 'none';
 #             }
 #         </script>
-#         <div id="event-preview" class="event-preview"></div>
+#         <div id="news-preview" class="news-preview"></div>
 #         """
-#         for index, event in enumerate(events_results):
-#             title = event.get("title", "No title")
-#             date = event.get("date", "No date")
-#             location = event.get("address", "No location")
-#             link = event.get("link", "#")
-#             events_html += f"""
-#             <div class="event-item" onmouseover="showPreview(event, 'Date: {date}<br>Location: {location}')" onmouseout="hidePreview()">
+#         for index, result in enumerate(results[:7]):
+#             title = result.get("title", "No title")
+#             link = result.get("link", "#")
+#             snippet = result.get("snippet", "")
+#             news_html += f"""
+#             <div class="news-item" onmouseover="showPreview(event, '{snippet}')" onmouseout="hidePreview()">
 #                 <a href='{link}' target='_blank'>{index + 1}. {title}</a>
-#                 <p>Date: {date}<br>Location: {location}</p>
+#                 <p>{snippet}</p>
 #             </div>
 #             """
-#         return events_html
+#         return news_html
 #     else:
-#         return "<p>Failed to fetch local events</p>"
+#         return "<p>Failed to fetch local news</p>"
+
+
+# # Voice Control
+# import numpy as np
+# import torch
+# from transformers import pipeline, AutoModelForSpeechSeq2Seq, AutoProcessor
+
+# model_id = 'openai/whisper-large-v3'
+# device = "cuda:0" if torch.cuda.is_available() else "cpu"
+# torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
+# model = AutoModelForSpeechSeq2Seq.from_pretrained(model_id, torch_dtype=torch_dtype,
+#                                                   #low_cpu_mem_usage=True,
+#                                                   use_safetensors=True).to(device)
+# processor = AutoProcessor.from_pretrained(model_id)
+
+# # Optimized ASR pipeline
+# pipe_asr = pipeline("automatic-speech-recognition", model=model, tokenizer=processor.tokenizer, feature_extractor=processor.feature_extractor, max_new_tokens=128, chunk_length_s=15, batch_size=16, torch_dtype=torch_dtype, device=device, return_timestamps=True)
+
+# base_audio_drive = "/data/audio"
+
+# import numpy as np
+
+# def transcribe_function(stream, new_chunk):
+#     try:
+#         sr, y = new_chunk[0], new_chunk[1]
+#     except TypeError:
+#         print(f"Error chunk structure: {type(new_chunk)}, content: {new_chunk}")
+#         return stream, "", None
+
+#     y = y.astype(np.float32) / np.max(np.abs(y))
+
+#     if stream is not None:
+#         stream = np.concatenate([stream, y])
+#     else:
+#         stream = y
+
+#     result = pipe_asr({"array": stream, "sampling_rate": sr}, return_timestamps=False)
+
+#     full_text = result.get("text", "")
+    
+#     return stream, full_text, result
+    
+
+# def update_map_with_response(history):
+#     if not history:
+#         return ""
+#     response = history[-1][1]
+#     addresses = extract_addresses(response)
+#     return generate_map(addresses)
+
+
+
+# def clear_textbox():
+#     return "" 
+
+# def show_map_if_details(history,choice):
+#     if choice in ["Details", "Conversational"]:
+#         return gr.update(visible=True), update_map_with_response(history)
+#     else:
+#         return gr.update(visible(False), "")
+
+
+
+# def generate_audio_elevenlabs(text):
+#     XI_API_KEY = os.environ['ELEVENLABS_API']
+#     VOICE_ID = 'd9MIrwLnvDeH7aZb61E9'  # Replace with your voice ID
+#     tts_url = f"https://api.elevenlabs.io/v1/text-to-speech/{VOICE_ID}/stream"
+#     headers = {
+#         "Accept": "application/json",
+#         "xi-api-key": XI_API_KEY
+#     }
+#     data = {
+#         "text": str(text),
+#         "model_id": "eleven_multilingual_v2",
+#         "voice_settings": {
+#             "stability": 1.0,
+#             "similarity_boost": 0.0,
+#             "style": 0.60,  # Adjust style for more romantic tone
+#             "use_speaker_boost": False
+#         }
+#     }
+#     response = requests.post(tts_url, headers=headers, json=data, stream=True)
+#     if response.ok:
+#         with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as f:
+#             for chunk in response.iter_content(chunk_size=1024):
+#                 f.write(chunk)
+#             temp_audio_path = f.name
+#         logging.debug(f"Audio saved to {temp_audio_path}")
+#         return temp_audio_path
+#     else:
+#         logging.error(f"Error generating audio: {response.text}")
+#         return None
+
+# # Stable Diffusion setup
+# pipe = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", torch_dtype=torch.float16)
+# pipe = pipe.to("cuda")
+
+# def generate_image(prompt):
+#     image = pipe(
+#         prompt,
+#         negative_prompt="",
+#         num_inference_steps=28,
+#         guidance_scale=3.0,
+#     ).images[0]
+#     return image
+
+# # Hardcoded prompt for image generation
+# # hardcoded_prompt_1 = "Useing The top events like 'Summer Art Festival'and Date - 06/19/2024 ,Weather-Sunny Bright Day.Create Highly Visually Compelling High Resolution  and High Quality Photographics Advatizement for 'Toyota'"
+# hardcoded_prompt_1="Give a high quality photograph of a great looking red 2026 toyota coupe against a skyline setting in th night, michael mann style in omaha enticing the consumer to buy this product"
+# # hardcoded_prompt_2 = "Create a vibrant poster of Nebraska with beautiful weather, featuring picturesque landscapes, clear skies, and the word 'Nebraska' prominently displayed."
+# hardcoded_prompt_2="A vibrant and dynamic football game scene in the style of Peter Paul Rubens, showcasing the intense match between Alabama and Nebraska. The players are depicted with the dramatic, muscular physiques and expressive faces typical of Rubens' style. The Alabama team is wearing their iconic crimson and white uniforms, while the Nebraska team is in their classic red and white attire. The scene is filled with action, with players in mid-motion, tackling, running, and catching the ball. The background features a grand stadium filled with cheering fans, banners, and the natural landscape in the distance. The colors are rich and vibrant, with a strong use of light and shadow to create depth and drama. The overall atmosphere captures the intensity and excitement of the game, infused with the grandeur and dynamism characteristic of Rubens' work."
+# hardcoded_prompt_3 = "Create a high-energy scene of a DJ performing on a large stage with vibrant lights, colorful lasers, a lively dancing crowd, and various electronic equipment in the background."
+
+
+# def update_images():
+#     image_1 = generate_image(hardcoded_prompt_1)
+#     image_2 = generate_image(hardcoded_prompt_2)
+#     image_3 = generate_image(hardcoded_prompt_3)
+#     return image_1, image_2, image_3
+
+# with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
+    
+#     with gr.Row():
+#         with gr.Column():
+#             state = gr.State()
+            
+#             chatbot = gr.Chatbot([], elem_id="RADAR:Channel 94.1", bubble_full_width=False)
+#             choice = gr.Radio(label="Select Style", choices=["Details", "Conversational"], value="Conversational")
+            
+#             gr.Markdown("<h1 style='color: red;'>Talk to RADAR</h1>", elem_id="voice-markdown")
+#             chat_input = gr.Textbox(show_copy_button=True, interactive=True, show_label=False, label="ASK Radar !!!")
+#             chat_msg = chat_input.submit(add_message, [chatbot, chat_input], [chatbot, chat_input])
+#             bot_msg = chat_msg.then(bot, [chatbot, choice], [chatbot, gr.Audio(interactive=False, autoplay=True)])
+#             bot_msg.then(lambda: gr.Textbox(value="", interactive=True, placeholder="Ask Radar!!!...", show_label=False), None, [chat_input])
+#             chatbot.like(print_like_dislike, None, None)
+#             clear_button = gr.Button("Clear")
+#             clear_button.click(fn=clear_textbox, inputs=None, outputs=chat_input)
+           
+            
+#             audio_input = gr.Audio(sources=["microphone"], streaming=True, type='numpy')
+#             audio_input.stream(transcribe_function, inputs=[state, audio_input], outputs=[state, chat_input], api_name="SAMLOne_real_time")
+
+#             gr.Markdown("<h1 style='color: red;'>Map</h1>", elem_id="location-markdown")
+#             location_output = gr.HTML()
+#             bot_msg.then(show_map_if_details, [chatbot, choice], [location_output, location_output])
+        
+#         with gr.Column():
+#             weather_output = gr.HTML(value=fetch_local_weather())
+#             news_output = gr.HTML(value=fetch_local_news())
+#             news_output = gr.HTML(value=fetch_local_events())
+            
+#         with gr.Column():
+            
+#             image_output_1 = gr.Image(value=generate_image(hardcoded_prompt_1), width=400, height=400)
+#             image_output_2 = gr.Image(value=generate_image(hardcoded_prompt_2), width=400, height=400)
+#             image_output_3 = gr.Image(value=generate_image(hardcoded_prompt_3), width=400, height=400)
+
+
+#             refresh_button = gr.Button("Refresh Images")
+#             refresh_button.click(fn=update_images, inputs=None, outputs=[image_output_1, image_output_2, image_output_3])
+
+# demo.queue()
+# demo.launch(share=True)
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+import os
+import re
+import time
+import requests
+import logging
+import folium
+import gradio as gr
+import tempfile
+import torch
+import sqlite3
+import hashlib
+from datetime import datetime
+import numpy as np
+from gtts import gTTS
+from googlemaps import Client as GoogleMapsClient
+from diffusers import StableDiffusion3Pipeline
+import concurrent.futures
+from PIL import Image
+
+from langchain_openai import OpenAIEmbeddings, ChatOpenAI
+from langchain_pinecone import PineconeVectorStore
+from langchain.prompts import PromptTemplate
+from langchain.chains import RetrievalQA
+from langchain.chains.conversation.memory import ConversationBufferWindowMemory
+from langchain.agents import Tool, initialize_agent
+from huggingface_hub import login
+
+# Create a new SQLite database (or connect to an existing one)
+conn = sqlite3.connect('users.db')
+cursor = conn.cursor()
+
+# Create a table for storing user credentials
+cursor.execute('''
+CREATE TABLE IF NOT EXISTS users (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    username TEXT NOT NULL UNIQUE,
+    password TEXT NOT NULL
+)
+''')
+conn.commit()
+conn.close()
+
+# Helper functions for user authentication
+def hash_password(password):
+    return hashlib.sha256(password.encode()).hexdigest()
+
+def register_user(username, password):
+    conn = sqlite3.connect('users.db')
+    cursor = conn.cursor()
+    try:
+        cursor.execute('INSERT INTO users (username, password) VALUES (?, ?)', (username, hash_password(password)))
+        conn.commit()
+        return True, "User registered successfully!"
+    except sqlite3.IntegrityError:
+        return False, "Username already exists!"
+    finally:
+        conn.close()
+
+def authenticate_user(username, password):
+    conn = sqlite3.connect('users.db')
+    cursor = conn.cursor()
+    cursor.execute('SELECT password FROM users WHERE username = ?', (username,))
+    record = cursor.fetchone()
+    conn.close()
+    if record and record[0] == hash_password(password):
+        return True, "Login successful!"
+    else:
+        return False, "Invalid username or password!"
+
+# Check if the token is already set in the environment variables
+hf_token = os.getenv("HF_TOKEN")
+
+if hf_token is None:
+    # If the token is not set, prompt for it (this should be done securely)
+    print("Please set your Hugging Face token in the environment variables.")
+else:
+    # Login using the token
+    login(token=hf_token)
+
+# Your application logic goes here
+print("Logged in successfully to Hugging Face Hub!")
+
+# Set up logging
+logging.basicConfig(level=logging.DEBUG)
+
+# Initialize OpenAI embeddings
+embeddings = OpenAIEmbeddings(api_key=os.environ['OPENAI_API_KEY'])
+
+# Initialize Pinecone
+from pinecone import Pinecone
+pc = Pinecone(api_key=os.environ['PINECONE_API_KEY'])
+
+index_name = "omaha-details"
+vectorstore = PineconeVectorStore(index_name=index_name, embedding=embeddings)
+retriever = vectorstore.as_retriever(search_kwargs={'k': 5})
 
-# def fetch_local_events():
-#     api_key = os.environ['SERP_API']
-#     url = f'https://serpapi.com/search.json?engine=google_events&q=Events+in+Omaha&hl=en&gl=us&api_key={api_key}'
+# Initialize ChatOpenAI model
+chat_model = ChatOpenAI(api_key=os.environ['OPENAI_API_KEY'],
+                        temperature=0, model='gpt-4o')
 
-#     response = requests.get(url)
-#     if response.status_code == 200:
-#         events_results = response.json().get("events_results", [])
-#         events_html = """
-#         <h2 style="font-family: 'Georgia', serif; color: #ff0000; background-color: #f8f8f8; padding: 10px; border-radius: 10px;">Local Events</h2>
-#         <style>
-#             .event-item {
-#                 font-family: 'Verdana', sans-serif;
-#                 color: #333;
-#                 background-color: #f0f8ff;
-#                 margin-bottom: 15px;
-#                 padding: 10px;
-#                 border-radius: 5px;
-#                 transition: box-shadow 0.3s ease, background-color 0.3s ease;
-#                 font-weight: bold;
-#             }
-#             .event-item:hover {
-#                 box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
-#                 background-color: #e6f7ff;
-#             }
-#             .event-item a {
-#                 color: #1E90FF;
-#                 text-decoration: none;
-#                 font-weight: bold;
-#             }
-#             .event-item a:hover {
-#                 text-decoration: underline;
-#             }
-#             .event-preview {
-#                 position: absolute;
-#                 display: none;
-#                 border: 1px solid #ccc;
-#                 border-radius: 5px;
-#                 box-shadow: 0 2px 4px rgba(0, 0, 0, 0.2);
-#                 background-color: white;
-#                 z-index: 1000;
-#                 max-width: 300px;
-#                 padding: 10px;
-#                 font-family: 'Verdana', sans-serif;
-#                 color: #333;
-#             }
-#         </style>
-#         <script>
-#             function showPreview(event, previewContent) {
-#                 var previewBox = document.getElementById('event-preview');
-#                 previewBox.innerHTML = previewContent;
-#                 previewBox.style.left = event.pageX + 'px';
-#                 previewBox.style.top = event.pageY + 'px';
-#                 previewBox.style.display = 'block';
-#             }
-#             function hidePreview() {
-#                 var previewBox = document.getElementById('event-preview');
-#                 previewBox.style.display = 'none';
-#             }
-#         </script>
-#         <div id="event-preview" class="event-preview"></div>
-#         """
-#         for index, event in enumerate(events_results):
-#             title = event.get("title", "No title")
-#             date = event.get("date", "No date")
-#             location = event.get("address", "No location")
-#             link = event.get("link", "#")
-#             events_html += f"""
-#             <div class="event-item" onmouseover="showPreview(event, 'Date: {date}<br>Location: {location}')" onmouseout="hidePreview()">
-#                 <a href='{link}' target='_blank'>{index + 1}. {title}</a>
-#                 <p>Date: {date}<br>Location: {location}</p>
-#             </div>
-#             """
-#         return events_html
-#     else:
-#         return "<p>Failed to fetch local events</p>"
+conversational_memory = ConversationBufferWindowMemory(
+    memory_key='chat_history',
+    k=10,
+    return_messages=True
+)
+
+def get_current_time_and_date():
+    now = datetime.now()
+    return now.strftime("%Y-%m-%d %H:%M:%S")
+
+# Example usage
+current_time_and_date = get_current_time_and_date()
 
 def fetch_local_events():
     api_key = os.environ['SERP_API']
@@ -264,75 +1047,6 @@ def fetch_local_events():
     else:
         return "<p>Failed to fetch local events</p>"
 
-
-# def fetch_local_weather():
-#     try:
-#         api_key = os.environ['WEATHER_API']
-#         url = f'https://weather.visualcrossing.com/VisualCrossingWebServices/rest/services/timeline/omaha?unitGroup=metric&include=events%2Calerts%2Chours%2Cdays%2Ccurrent&key={api_key}'
-#         response = requests.get(url)
-#         response.raise_for_status()
-#         jsonData = response.json()
-        
-#         current_conditions = jsonData.get("currentConditions", {})
-#         temp_celsius = current_conditions.get("temp", "N/A")
-        
-#         if temp_celsius != "N/A":
-#             temp_fahrenheit = int((temp_celsius * 9/5) + 32)
-#         else:
-#             temp_fahrenheit = "N/A"
-            
-#         condition = current_conditions.get("conditions", "N/A")
-#         humidity = current_conditions.get("humidity", "N/A")
-
-#         weather_html = f"""
-#         <div class="weather-theme">
-#             <h2 style="font-family: 'Georgia', serif; color: #4CAF50; background-color: #f8f8f8; padding: 10px; border-radius: 10px;">Local Weather</h2>
-#             <div class="weather-content">
-#                 <div class="weather-icon">
-#                     <img src="https://www.weatherbit.io/static/img/icons/{get_weather_icon(condition)}.png" alt="{condition}" style="width: 100px; height: 100px;">
-#                 </div>
-#                 <div class="weather-details">
-#                     <p style="font-family: 'Verdana', sans-serif; color: #333; font-size: 1.2em;">Temperature: {temp_fahrenheit}°F</p>
-#                     <p style="font-family: 'Verdana', sans-serif; color: #333; font-size: 1.2em;">Condition: {condition}</p>
-#                     <p style="font-family: 'Verdana', sans-serif; color: #333; font-size: 1.2em;">Humidity: {humidity}%</p>
-#                 </div>
-#             </div>
-#         </div>
-#         <style>
-#             .weather-theme {{
-#                 animation: backgroundAnimation 10s infinite alternate;
-#                 border: 2px solid red;  /* Added red border */
-#                 border-radius: 10px;
-#                 padding: 10px;
-#                 margin-bottom: 15px;
-#                 background: linear-gradient(45deg, #ffcc33, #ff6666, #ffcc33, #ff6666);
-#                 background-size: 400% 400%;
-#                 box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
-#                 transition: box-shadow 0.3s ease, background-color 0.3s ease;
-#             }}
-#             .weather-theme:hover {{
-#                 box-shadow: 0 8px 16px rgba(0, 0, 0, 0.2);
-#                 background-position: 100% 100%;
-#             }}
-#             @keyframes backgroundAnimation {{
-#                 0% {{ background-position: 0% 50%; }}
-#                 100% {{ background-position: 100% 50%; }}
-#             }}
-#             .weather-content {{
-#                 display: flex;
-#                 align-items: center;
-#             }}
-#             .weather-icon {{
-#                 flex: 1;
-#             }}
-#             .weather-details {{
-#                 flex: 3;
-#             }}
-#         </style>
-#         """
-#         return weather_html
-#     except requests.exceptions.RequestException as e:
-#         return f"<p>Failed to fetch local weather: {e}</p>"
 def fetch_local_weather():
     try:
         api_key = os.environ['WEATHER_API']
@@ -418,12 +1132,6 @@ def get_weather_icon(condition):
     }
     return condition_map.get(condition, "c04d")
 
-# Update prompt templates to include fetched details
-
-current_time_and_date = get_current_time_and_date()
-
-
-
 # Define prompt templates
 template1 = """You are an expert concierge who is helpful and a renowned guide for Omaha, Nebraska. Based on weather being a sunny bright day and the today's date is 20th june 2024, use the following pieces of context, 
 memory, and message history, along with your knowledge of perennial events in Omaha, Nebraska, to answer the question at the end. If you don't know the answer, just say "Homie, I need to get more data for this," and don't try to make up an answer. 
@@ -440,12 +1148,9 @@ Keep the answer short and sweet and crisp. Always say "It was my pleasure!" at t
 Question: {question}
 Helpful Answer:"""
 
-
-
 QA_CHAIN_PROMPT_1 = PromptTemplate(input_variables=["context", "question"], template=template1)
 QA_CHAIN_PROMPT_2 = PromptTemplate(input_variables=["context", "question"], template=template2)
 
-
 # Define the retrieval QA chain
 def build_qa_chain(prompt_template):
     qa_chain = RetrievalQA.from_chain_type(
@@ -493,8 +1198,6 @@ def generate_answer(message, choice):
     # Extract addresses for mapping regardless of the choice
     addresses = extract_addresses(response['output'])
     return response['output'], addresses
-    
-
 
 def bot(history, choice):
     if not history:
@@ -514,7 +1217,6 @@ def bot(history, choice):
         audio_path = audio_future.result()
         yield history, audio_path
 
-    
 def add_message(history, message):
     history.append((message, None))
     return history, gr.Textbox(value="", interactive=True, placeholder="Enter message or upload file...", show_label=False)
@@ -555,88 +1257,13 @@ def generate_map(location_names):
         if geocode_result:
             location = geocode_result[0]['geometry']['location']
             folium.Marker(
-                [location['lat'], location['lng']],
+                [location['lat'], 'location['lng']'],
                 tooltip=f"{geocode_result[0]['formatted_address']}"
             ).add_to(m)
     
     map_html = m._repr_html_()
     return map_html
 
-# def fetch_local_news():
-#     api_key = os.environ['SERP_API']
-#     url = f'https://serpapi.com/search.json?engine=google_news&q=omaha headline&api_key={api_key}'
-#     response = requests.get(url)
-#     if response.status_code == 200:
-#         results = response.json().get("news_results", [])
-#         news_html = """
-#         <h2 style="font-family: 'Georgia', serif; color: #4CAF50; background-color: #f8f8f8; padding: 10px; border-radius: 10px;">Omaha Today </h2>
-#         <style>
-#             .news-item {
-#                 font-family: 'Verdana', sans-serif;
-#                 color: #333;
-#                 background-color: #f0f8ff;
-#                 margin-bottom: 15px;
-#                 padding: 10px;
-#                 border: 2px solid red;  /* Added red border */
-#                 border-radius: 5px;
-#                 transition: box-shadow 0.3s ease, background-color 0.3s ease;
-#                 font-weight: bold;
-#             }
-#             .news-item:hover {
-#                 box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
-#                 background-color: #e6f7ff;
-#             }
-#             .news-item a {
-#                 color: #1E90FF;
-#                 text-decoration: none;
-#                 font-weight: bold;
-#             }
-#             .news-item a:hover {
-#                 text-decoration: underline;
-#             }
-#             .news-preview {
-#                 position: absolute;
-#                 display: none;
-#                 border: 1px solid #ccc;
-#                 border-radius: 5px;
-#                 box-shadow: 0 2px 4px rgba(0, 0, 0, 0.2);
-#                 background-color: white;
-#                 z-index: 1000;
-#                 max-width: 300px;
-#                 padding: 10px;
-#                 font-family: 'Verdana', sans-serif;
-#                 color: #333;
-#             }
-#         </style>
-#         <script>
-#             function showPreview(event, previewContent) {
-#                 var previewBox = document.getElementById('news-preview');
-#                 previewBox.innerHTML = previewContent;
-#                 previewBox.style.left = event.pageX + 'px';
-#                 previewBox.style.top = event.pageY + 'px';
-#                 previewBox.style.display = 'block';
-#             }
-#             function hidePreview() {
-#                 var previewBox = document.getElementById('news-preview');
-#                 previewBox.style.display = 'none';
-#             }
-#         </script>
-#         <div id="news-preview" class="news-preview"></div>
-#         """
-#         for index, result in enumerate(results[:7]):
-#             title = result.get("title", "No title")
-#             link = result.get("link", "#")
-#             snippet = result.get("snippet", "")
-#             news_html += f"""
-#             <div class="news-item" onmouseover="showPreview(event, '{snippet}')" onmouseout="hidePreview()">
-#                 <a href='{link}' target='_blank'>{index + 1}. {title}</a>
-#                 <p>{snippet}</p>
-#             </div>
-#             """
-#         return news_html
-#     else:
-#         return "<p>Failed to fetch local news</p>"
-
 def fetch_local_news():
     api_key = os.environ['SERP_API']
     url = f'https://serpapi.com/search.json?engine=google_news&q=omaha headline&api_key={api_key}'
@@ -711,7 +1338,6 @@ def fetch_local_news():
     else:
         return "<p>Failed to fetch local news</p>"
 
-
 # Voice Control
 import numpy as np
 import torch
@@ -751,7 +1377,6 @@ def transcribe_function(stream, new_chunk):
     full_text = result.get("text", "")
     
     return stream, full_text, result
-    
 
 def update_map_with_response(history):
     if not history:
@@ -760,19 +1385,15 @@ def update_map_with_response(history):
     addresses = extract_addresses(response)
     return generate_map(addresses)
 
-
-
 def clear_textbox():
     return "" 
 
-def show_map_if_details(history,choice):
+def show_map_if_details(history, choice):
     if choice in ["Details", "Conversational"]:
         return gr.update(visible=True), update_map_with_response(history)
     else:
         return gr.update(visible(False), "")
 
-
-
 def generate_audio_elevenlabs(text):
     XI_API_KEY = os.environ['ELEVENLABS_API']
     VOICE_ID = 'd9MIrwLnvDeH7aZb61E9'  # Replace with your voice ID
@@ -817,22 +1438,65 @@ def generate_image(prompt):
     return image
 
 # Hardcoded prompt for image generation
-# hardcoded_prompt_1 = "Useing The top events like 'Summer Art Festival'and Date - 06/19/2024 ,Weather-Sunny Bright Day.Create Highly Visually Compelling High Resolution  and High Quality Photographics Advatizement for 'Toyota'"
-hardcoded_prompt_1="Give a high quality photograph of a great looking red 2026 toyota coupe against a skyline setting in th night, michael mann style in omaha enticing the consumer to buy this product"
-# hardcoded_prompt_2 = "Create a vibrant poster of Nebraska with beautiful weather, featuring picturesque landscapes, clear skies, and the word 'Nebraska' prominently displayed."
-hardcoded_prompt_2="A vibrant and dynamic football game scene in the style of Peter Paul Rubens, showcasing the intense match between Alabama and Nebraska. The players are depicted with the dramatic, muscular physiques and expressive faces typical of Rubens' style. The Alabama team is wearing their iconic crimson and white uniforms, while the Nebraska team is in their classic red and white attire. The scene is filled with action, with players in mid-motion, tackling, running, and catching the ball. The background features a grand stadium filled with cheering fans, banners, and the natural landscape in the distance. The colors are rich and vibrant, with a strong use of light and shadow to create depth and drama. The overall atmosphere captures the intensity and excitement of the game, infused with the grandeur and dynamism characteristic of Rubens' work."
+hardcoded_prompt_1 = "Give a high quality photograph of a great looking red 2026 toyota coupe against a skyline setting in the night, michael mann style in omaha enticing the consumer to buy this product"
+hardcoded_prompt_2 = "A vibrant and dynamic football game scene in the style of Peter Paul Rubens, showcasing the intense match between Alabama and Nebraska. The players are depicted with the dramatic, muscular physiques and expressive faces typical of Rubens' style. The Alabama team is wearing their iconic crimson and white uniforms, while the Nebraska team is in their classic red and white attire. The scene is filled with action, with players in mid-motion, tackling, running, and catching the ball. The background features a grand stadium filled with cheering fans, banners, and the natural landscape in the distance. The colors are rich and vibrant, with a strong use of light and shadow to create depth and drama. The overall atmosphere captures the intensity and excitement of the game, infused with the grandeur and dynamism characteristic of Rubens' work."
 hardcoded_prompt_3 = "Create a high-energy scene of a DJ performing on a large stage with vibrant lights, colorful lasers, a lively dancing crowd, and various electronic equipment in the background."
 
-
 def update_images():
     image_1 = generate_image(hardcoded_prompt_1)
     image_2 = generate_image(hardcoded_prompt_2)
     image_3 = generate_image(hardcoded_prompt_3)
     return image_1, image_2, image_3
 
+def show_login_screen():
+    return gr.update(visible=True), gr.update(visible=False), gr.update(visible=False)
+
+def show_main_screen():
+    return gr.update(visible=False), gr.update(visible=True), gr.update(visible=True)
+
+def login(username, password):
+    success, message = authenticate_user(username, password)
+    if success:
+        return show_main_screen()
+    else:
+        return gr.update(visible=True, value=message), gr.update(visible=False), gr.update(visible=False)
+
+def create_account(username, password):
+    success, message = register_user(username, password)
+    if success:
+        return gr.update(visible=True, value=message), gr.update(visible(False), gr.update(visible=False))
+    else:
+        return gr.update(visible(True, value=message), gr.update(visible=False), gr.update(visible(False))
+
 with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
+    state = gr.State()
+    
+    # Login screen
+    with gr.Row(visible=True) as login_screen:
+        with gr.Column():
+            gr.Markdown("<h1>Login</h1>")
+            login_username = gr.Textbox(label="Username")
+            login_password = gr.Textbox(label="Password", type="password")
+            login_button = gr.Button("Login")
+            login_message = gr.Textbox(visible=False)
+            login_button.click(login, [login_username, login_password], [login_message, login_screen, state])
+            create_account_button = gr.Button("Create Account")
+            create_account_button.click(lambda: (gr.update(visible=False), gr.update(visible=True)), None, [login_screen, create_account_screen])
     
-    with gr.Row():
+    # Create account screen
+    with gr.Row(visible=False) as create_account_screen:
+        with gr.Column():
+            gr.Markdown("<h1>Create Account</h1>")
+            create_username = gr.Textbox(label="Username")
+            create_password = gr.Textbox(label="Password", type="password")
+            create_button = gr.Button("Create Account")
+            create_message = gr.Textbox(visible=False)
+            create_button.click(create_account, [create_username, create_password], [create_message, create_account_screen, state])
+            back_to_login_button = gr.Button("Back to Login")
+            back_to_login_button.click(lambda: (gr.update(visible=True), gr.update(visible(False))), None, [login_screen, create_account_screen])
+    
+    # Main application screen (initially hidden)
+    with gr.Row(visible=False) as main_screen:
         with gr.Column():
             state = gr.State()
             
@@ -867,10 +1531,10 @@ with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
             image_output_2 = gr.Image(value=generate_image(hardcoded_prompt_2), width=400, height=400)
             image_output_3 = gr.Image(value=generate_image(hardcoded_prompt_3), width=400, height=400)
 
-
             refresh_button = gr.Button("Refresh Images")
             refresh_button.click(fn=update_images, inputs=None, outputs=[image_output_1, image_output_2, image_output_3])
 
 demo.queue()
 demo.launch(share=True)
 
+