Upload 3 files
Browse files- .env +1 -0
- app.py +59 -0
- requirements.txt +3 -0
.env
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GOOGLE_API_KEY = "AIzaSyCsBCJtPSrc0If5NXwzGXPK-sRmtYR0Vc0"
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app.py
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import streamlit as st
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from langchain_google_genai import ChatGoogleGenerativeAI
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from dotenv import load_dotenv
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import os
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# Load environment variables
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load_dotenv()
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# Initialize the language model
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llm = ChatGoogleGenerativeAI(model="gemini-1.5-pro",
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temperature=0.6,
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google_api_key=os.getenv("GOOGLE_API_KEY"))
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# Set Streamlit page configuration
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st.set_page_config(page_title="Q&A Chatbot", page_icon="🤖", layout="centered", initial_sidebar_state="auto")
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# Main application interface
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st.header("Quest Bot")
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# Function to handle user input and model response
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def chat(input_question):
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try:
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# Get response from the model
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with st.spinner("getting response..."):
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response = llm.invoke(input_question)
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return response.content
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except ValueError as ve:
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st.error(f"ValueError: {str(ve)}")
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except Exception as e:
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st.error(f"Error: {str(e)}")
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return None
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# Initialize conversation history
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conversation = []
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# User input for the question
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input_question = st.text_input("Input your question here: ")
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# Button to submit the question
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if st.button("Ask"):
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if input_question:
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st.spinner("getting response...")
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# Add user input to conversation history
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conversation.append(f"You: {input_question}")
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# Get response from the model
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response = chat(input_question)
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if response:
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# Add model response to conversation history
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conversation.append(f"Quest Bot: {response}")
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# Display conversation history
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st.subheader("Conversation")
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for message in conversation:
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st.write(message)
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else:
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# Show a warning if no question is input
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st.warning("Please input a question.")
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requirements.txt
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google-generativeai
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langchain
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langchain_community
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