Create app.py

app.py

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+from dotenv import load_dotenv
+
+load_dotenv()  # take environment variables from .env.
+
+import streamlit as st
+import os
+import pathlib
+import textwrap
+
+import google.generativeai as genai
+
+from IPython.display import display
+from IPython.display import Markdown
+
+
+def to_markdown(text):
+  text = text.replace('•', '  *')
+  return Markdown(textwrap.indent(text, '> ', predicate=lambda _: True))
+
+os.getenv("GOOGLE_API_KEY")
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+
+## Function to load OpenAI model and get respones
+
+def get_gemini_response(question):
+    model = genai.GenerativeModel('gemini-1.5-flash')
+    response = model.generate_content(question)
+    return response.text
+
+##initialize our streamlit app
+
+# UI improvements
+st.set_page_config(
+    page_title="Ask Gemini!",
+    layout="wide",  # Wider layout for better use of space
+    initial_sidebar_state="collapsed",  # Hide sidebar initially
+)
+
+st.title("Talk to Gemini")  # Clear and descriptive title
+
+user_input = st.text_input(
+    "Ask your question:", key="user_input", placeholder="Type your question here..."
+)  # Descriptive placeholder text
+
+if user_input:
+    st.subheader("Gemini's Response:")
+    response = get_gemini_response(user_input)
+    st.write(response)
+    st.success("Got your response! Ask another question or refresh the page for a new start.")
+else:
+    st.info("Start a conversation by entering your question in the box above.")