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Create app.py
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app.py
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import streamlit as st
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import google.generativeai as genai
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from datetime import datetime
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import requests
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import os
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from dotenv import load_dotenv
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# Load environment variables
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load_dotenv()
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# Configure Gemini
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genai.configure(api_key=os.getenv("GEMINI_API_KEY"))
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# Set up the model
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generation_config = {
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"temperature": 0.9,
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"top_p": 1,
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"top_k": 1,
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"max_output_tokens": 2048,
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}
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safety_settings = [
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{
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"category": "HARM_CATEGORY_HARASSMENT",
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"threshold": "BLOCK_MEDIUM_AND_ABOVE"
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},
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{
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"category": "HARM_CATEGORY_HATE_SPEECH",
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"threshold": "BLOCK_MEDIUM_AND_ABOVE"
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},
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{
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"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
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"threshold": "BLOCK_MEDIUM_AND_ABOVE"
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},
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{
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"category": "HARM_CATEGORY_DANGEROUS_CONTENT",
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"threshold": "BLOCK_MEDIUM_AND_ABOVE"
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},
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]
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model = genai.GenerativeModel(
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model_name="gemini-1.5-flash",
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generation_config=generation_config,
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safety_settings=safety_settings
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)
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# Function to perform web search (using SerpAPI)
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def search_web(query):
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try:
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api_key = os.getenv("SERPAPI_KEY")
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if not api_key:
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return None
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params = {
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'q': query,
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'api_key': api_key,
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'engine': 'google'
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}
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response = requests.get('https://serpapi.com/search', params=params)
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results = response.json()
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if 'organic_results' in results:
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return results['organic_results'][:3] # Return top 3 results
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return None
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except Exception as e:
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st.error(f"Search error: {e}")
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return None
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# Initialize chat history
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if "messages" not in st.session_state:
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st.session_state.messages = [
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{
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"role": "assistant",
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"content": "Hello! I'm Gemini AI with web search capabilities. How can I help you today?",
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"timestamp": datetime.now().strftime("%H:%M")
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}
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]
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# App title and sidebar
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st.set_page_config(page_title="Gemini AI Chatbot", page_icon="π€")
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st.title("π Gemini AI Chatbot")
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st.caption("Powered by Gemini 1.5 Flash with web search capabilities")
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# Sidebar controls
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with st.sidebar:
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st.header("Settings")
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web_search = st.toggle("Enable Web Search", value=True)
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st.divider()
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if st.button("New Chat"):
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st.session_state.messages = [
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{
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"role": "assistant",
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"content": "Hello! I'm Gemini AI with web search capabilities. How can I help you today?",
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"timestamp": datetime.now().strftime("%H:%M")
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}
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]
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st.divider()
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st.markdown("### About")
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st.markdown("This chatbot uses Google's Gemini 1.5 Flash model and can perform web searches when enabled.")
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# Display chat messages
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for message in st.session_state.messages:
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avatar = "π€" if message["role"] == "assistant" else "π€"
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with st.chat_message(message["role"], avatar=avatar):
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st.markdown(message["content"])
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if "search_results" in message:
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st.divider()
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st.markdown("**Web Search Results**")
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for result in message["search_results"]:
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with st.expander(result.get("title", "No title")):
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st.markdown(f"**Snippet:** {result.get('snippet', 'No snippet available')}")
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st.markdown(f"**Link:** [{result.get('link', 'No link')}]({result.get('link', '#')})")
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st.caption(f"{message['timestamp']} β’ {message['role'].capitalize()}")
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# Accept user input
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if prompt := st.chat_input("Ask me anything..."):
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# Add user message to chat history
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st.session_state.messages.append({
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"role": "user",
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"content": prompt,
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"timestamp": datetime.now().strftime("%H:%M")
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})
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# Display user message
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with st.chat_message("user", avatar="π€"):
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st.markdown(prompt)
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st.caption(f"{datetime.now().strftime('%H:%M')} β’ User")
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# Display assistant response
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with st.chat_message("assistant", avatar="π€"):
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message_placeholder = st.empty()
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full_response = ""
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# If web search is enabled, perform search first
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search_results = None
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if web_search:
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with st.spinner("Searching the web..."):
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search_results = search_web(prompt)
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# Generate response from Gemini
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with st.spinner("Thinking..."):
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try:
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# Prepare the prompt
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chat_prompt = prompt
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if search_results:
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chat_prompt += "\n\nHere are some web search results to help with your response:\n"
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for i, result in enumerate(search_results, 1):
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chat_prompt += f"\n{i}. {result.get('title', 'No title')}\n{result.get('snippet', 'No snippet')}\n"
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# Get response from Gemini
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response = model.generate_content(chat_prompt)
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# Stream the response
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for chunk in response.text.split(" "):
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full_response += chunk + " "
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message_placeholder.markdown(full_response + "β")
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message_placeholder.markdown(full_response)
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except Exception as e:
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full_response = f"Sorry, I encountered an error: {str(e)}"
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message_placeholder.markdown(full_response)
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# Display search results if available
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if search_results:
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st.divider()
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st.markdown("**Web Search Results**")
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for result in search_results:
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with st.expander(result.get("title", "No title")):
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st.markdown(f"**Snippet:** {result.get('snippet', 'No snippet available')}")
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st.markdown(f"**Link:** [{result.get('link', 'No link')}]({result.get('link', '#')})")
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st.caption(f"{datetime.now().strftime('%H:%M')} β’ Assistant")
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# Add assistant response to chat history
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st.session_state.messages.append({
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"role": "assistant",
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"content": full_response,
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"timestamp": datetime.now().strftime("%H:%M"),
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"search_results": search_results if search_results else None
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})
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