Update app.py

app.py

@@ -890,7 +890,7 @@ from datetime import datetime
 import numpy as np
 from gtts import gTTS
 from googlemaps import Client as GoogleMapsClient
-from diffusers import StableDiffusion3Pipeline
+from diffusers import StableDiffusionPipeline
 import concurrent.futures
 from PIL import Image
 
@@ -909,13 +909,10 @@ import hashlib
 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
@@ -934,7 +931,7 @@ 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')
+                        temperature=0, model='gpt-4')
 
 conversational_memory = ConversationBufferWindowMemory(
     memory_key='chat_history',
@@ -946,7 +943,6 @@ 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():
@@ -1203,7 +1199,7 @@ 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), "")
+        return gr.update(visible=False), ""
 
 def generate_audio_elevenlabs(text):
     XI_API_KEY = os.environ['ELEVENLABS_API']
@@ -1236,7 +1232,7 @@ def generate_audio_elevenlabs(text):
         return None
 
 # Stable Diffusion setup
-pipe = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", torch_dtype=torch.float16)
+pipe = StableDiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3-base", torch_dtype=torch.float16)
 pipe = pipe.to("cuda")
 
 def generate_image(prompt):
@@ -1466,7 +1462,6 @@ with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
             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")
 
@@ -1477,8 +1472,8 @@ with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
         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())
-            
+            events_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)