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app.py

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+import os
+import streamlit as st
+from langchain_core.prompts import ChatPromptTemplate
+from langchain_core.output_parsers import StrOutputParser
+from langchain_google_genai import ChatGoogleGenerativeAI
+from langchain_core.messages import HumanMessage, SystemMessage
+from dotenv import load_dotenv
+
+load_dotenv()
+
+
+os.environ["GOOGLE_API_KEY"] = os.getenv('api')
+
+
+system_template = "You are a helpful assistant. Please response to the user queries"
+prompt_template = ChatPromptTemplate.from_messages([
+    ('system', system_template),
+    ('user', 'Question:{question}')
+])
+
+
+model = ChatGoogleGenerativeAI(model="gemini-pro", convert_system_message_to_human=True)
+parser = StrOutputParser()
+chain = prompt_template | model | parser
+
+st.title("LangChain Chatbot Demo")
+st.markdown("""
+    Welcome to the LangChain Chatbot Demo! 
+    Type your query below and get responses powered by Google's Generative AI.
+    """)
+st.sidebar.header("Chatbot Settings")
+st.sidebar.text("You can enter your query in the main section below.")
+
+input_text = st.text_input("Enter your question:", "")
+
+
+if input_text:
+    try:
+        with st.spinner('Generating response...'):
+            response = chain.invoke({"question": input_text})
+            st.write("**Chatbot Response:**")
+            st.write(response)
+            
+            if "history" not in st.session_state:
+                st.session_state.history = []
+            st.session_state.history.append({"role": "user", "text": input_text})
+            st.session_state.history.append({"role": "chatbot", "text": response})
+    
+    except Exception as e:
+        st.error(f"An error occurred: {e}")
+
+st.sidebar.header("Conversation History")
+if "history" in st.session_state and st.session_state.history:
+    for message in st.session_state.history:
+        role = "You" if message["role"] == "user" else "Chatbot"
+        st.sidebar.write(f"**{role}:** {message['text']}")

requirements.txt

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+langchain
+langchain_core
+python-dotenv
+streamlit
+langchain_community
+langchain_google_genai
+langserve
+uvicorn
+sse_starlette
+fastapi
+langchain-groq
+wikipedia
+arxiv
+langchainhub
+sentence_transformers
+langchain-objectbox