Updates for interface
Browse files
app.py
CHANGED
@@ -1,30 +1,120 @@
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import os
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import streamlit as st
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from langchain.chains import ConversationChain
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from langchain_openai import ChatOpenAI
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from langchain.memory import ConversationBufferMemory
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os.environ["OPENAI_API_KEY"] = ""
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#
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@st.cache_resource
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def init_chatbot():
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memory = ConversationBufferMemory()
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chatbot = ConversationChain(
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llm
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memory
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verbose
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)
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return chatbot
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st.title("Langchain Chatbot")
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st.write("Hi, I'm a chatbot built with Langchain powered by GPT. How can I assist you today?")
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if user_input:
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with st.spinner("Thinking
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st.
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# import os
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# import streamlit as st
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# from langchain.chains import ConversationChain
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# from langchain_openai import ChatOpenAI
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# from langchain.memory import ConversationBufferMemory
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# os.environ["OPENAI_API_KEY"] = ""
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# # Intialize the chatbot
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# @st.cache_resource
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# def init_chatbot():
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# memory = ConversationBufferMemory()
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# chatbot = ConversationChain(
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# llm =ChatOpenAI(model = "gpt-4o-mini"),
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# memory = memory,
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# verbose = False
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# )
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# return chatbot
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# # Streamlit Application
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# st.title("Langchain Chatbot")
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# st.write("Hi, I'm a chatbot built with Langchain powered by GPT. How can I assist you today?")
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# user_input = st.text_input("You:", placeholder = "Ask me anything....")
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# if user_input:
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# with st.spinner("Thinking......"):
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# resp = chatbot.run(user_input)
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# st.write(f"Chatbot: {resp}")
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import os
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import streamlit as st
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from langchain.chains import ConversationChain
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from langchain_openai import ChatOpenAI
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from langchain.memory import ConversationBufferMemory
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from streamlit_extras.add_vertical_space import add_vertical_space
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from streamlit_extras.chat_elements import message
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# Set OpenAI API Key
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os.environ["OPENAI_API_KEY"] = ""
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# Initialize the chatbot
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@st.cache_resource
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def init_chatbot():
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memory = ConversationBufferMemory()
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chatbot = ConversationChain(
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llm=ChatOpenAI(model="gpt-4o-mini"),
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memory=memory,
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verbose=False
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)
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return chatbot
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chatbot = init_chatbot()
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# Custom Styling
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st.markdown("""
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<style>
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body {
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background-color: #f5f5f5;
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}
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.chat-container {
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background-color: #ffffff;
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padding: 20px;
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border-radius: 10px;
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box-shadow: 0px 4px 6px rgba(0,0,0,0.1);
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}
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</style>
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""", unsafe_allow_html=True)
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# Sidebar - Settings
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st.sidebar.title("⚙️ Settings")
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model_choice = st.sidebar.radio("Select Model", ("gpt-4o-mini", "gpt-4", "gpt-3.5-turbo"))
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# Update model based on user selection
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if model_choice:
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chatbot.llm = ChatOpenAI(model=model_choice)
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# Title and Description
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st.title("💬 LangChain AI Chatbot")
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st.write("### Hi, I'm a chatbot built with Langchain powered by GPT. How can I assist you today?")
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# Chat history
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if "chat_history" not in st.session_state:
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st.session_state.chat_history = []
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# User Input
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user_input = st.text_input("You:", placeholder="Ask me anything...")
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# Process input
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if user_input:
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with st.spinner("Thinking..."):
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response = chatbot.run(user_input)
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st.session_state.chat_history.append(("user", user_input))
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st.session_state.chat_history.append(("bot", response))
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# Display chat history
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st.write("### 🗨️ Conversation")
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chat_container = st.container()
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with chat_container:
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for role, text in st.session_state.chat_history:
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if role == "user":
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message(text, is_user=True, avatar_style="thumbs")
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else:
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message(text, is_user=False, avatar_style="bottts")
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# Add some spacing
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add_vertical_space(2)
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# Collapsible Chat History
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with st.expander("📜 Chat History"):
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for role, text in st.session_state.chat_history:
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st.write(f"**{role.capitalize()}**: {text}")
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# Footer
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st.markdown("---")
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st.markdown("Developed with ❤️ using Streamlit & LangChain")
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