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# import os
# import streamlit as st
# from langchain.chains import ConversationChain
# from langchain_openai import ChatOpenAI
# from langchain.memory import ConversationBufferMemory
# os.environ["OPENAI_API_KEY"] = ""
# # Intialize the chatbot
# @st.cache_resource
# def init_chatbot():
# memory = ConversationBufferMemory()
# chatbot = ConversationChain(
# llm =ChatOpenAI(model = "gpt-4o-mini"),
# memory = memory,
# verbose = False
# )
# return chatbot
# # Streamlit Application
# st.title("Langchain Chatbot")
# st.write("Hi, I'm a chatbot built with Langchain powered by GPT. How can I assist you today?")
# user_input = st.text_input("You:", placeholder = "Ask me anything....")
# if user_input:
# with st.spinner("Thinking......"):
# resp = chatbot.run(user_input)
# st.write(f"Chatbot: {resp}")
import os
import streamlit as st
from langchain.chains import ConversationChain
from langchain_openai import ChatOpenAI
from langchain.memory import ConversationBufferMemory
from streamlit_extras.add_vertical_space import add_vertical_space
# Set up OpenAI API Key securely
if "openai_api_key" in st.secrets:
os.environ["OPENAI_API_KEY"] = st.secrets["openai_api_key"]
else:
st.error("🔑 OpenAI API Key is missing! Please add it to Streamlit secrets.")
st.stop()
# Initialize chatbot with memory
def init_chatbot(model="gpt-4o-mini"):
try:
memory = ConversationBufferMemory()
chatbot = ConversationChain(llm=ChatOpenAI(model=model), memory=memory, verbose=False)
return chatbot
except Exception as e:
st.error(f"⚠️ Error initializing chatbot: {e}")
return None
if "chatbot" not in st.session_state:
st.session_state.chatbot = init_chatbot()
# Custom Styling
st.markdown("""
<style>
body {
background-color: #f5f5f5;
}
.stChatMessage {
padding: 10px;
border-radius: 10px;
margin: 5px 0;
}
.user-message {
background-color: #dcf8c6;
text-align: right;
}
.bot-message {
background-color: #ffffff;
}
</style>
""", unsafe_allow_html=True)
# Sidebar - Model Selection
st.sidebar.title("⚙️ Settings")
model_choice = st.sidebar.radio("Select Model", ("gpt-4o-mini", "gpt-4", "gpt-3.5-turbo"))
# Update chatbot model if changed
if model_choice != st.session_state.chatbot.llm.model_name:
st.session_state.chatbot = init_chatbot(model_choice)
# Title and Description
st.title("💬 LangChain AI Chatbot")
st.write("### Hi, I'm a chatbot powered by GPT. How can I assist you today?")
# Chat history storage
if "chat_history" not in st.session_state:
st.session_state.chat_history = []
# User Input via Chat Input (better UX)
user_input = st.chat_input("Type your message here...")
# Process input
if user_input:
with st.spinner("Thinking..."):
try:
response = st.session_state.chatbot.run(user_input)
if response:
st.session_state.chat_history.append(("user", user_input))
st.session_state.chat_history.append(("bot", response))
except Exception as e:
st.error(f"⚠️ Error generating response: {e}")
# Display chat history
st.write("### 🗨️ Conversation")
for role, text in st.session_state.chat_history:
with st.chat_message(role):
st.markdown(f"**{role.capitalize()}**: {text}")
# Collapsible Chat History
with st.expander("📜 View Full Chat History"):
for role, text in st.session_state.chat_history:
st.write(f"**{role.capitalize()}**: {text}")
# Add spacing
add_vertical_space(2)
# Footer
st.markdown("---")
st.markdown("Developed with ❤️ using Streamlit & LangChain")
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