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Running
Create basic chatbot
Browse files- app.py +54 -0
- requirements.txt +3 -0
app.py
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from langchain.callbacks.base import BaseCallbackHandler
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from langchain.schema import ChatMessage
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from langchain_openai import ChatOpenAI
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import streamlit as st
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st.set_page_config(page_title="Streamlit + Langchain")
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st.title("Basic Chatbot with Streamlit and Langchain")
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st.caption("Features text streaming")
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class StreamHandler(BaseCallbackHandler):
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def __init__(self, container, text=""):
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self.container = container
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self.text = text
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def on_llm_new_token(self, token: str, **kwargs) -> None:
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self.text += token
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self.container.markdown(self.text)
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# Text input to enter OpenAI API key
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with st.sidebar:
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OPENAI_API_KEY = st.text_input("Enter your OpenAI API Key", type="password")
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# Streamlit session state
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if "messages" not in st.session_state:
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st.session_state["messages"] = [
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ChatMessage(role="assistant", content="How can I help you?")
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]
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# Display all chat messages from session state
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for message in st.session_state.messages:
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st.chat_message(message.role).write(message.content)
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# If user submits a prompt in the text input, continue
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if prompt := st.chat_input():
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if not OPENAI_API_KEY:
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st.error("Please add your OpenAI API key to continue.")
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st.stop()
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# Add user's prompt to the chat messages
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st.session_state.messages.append(ChatMessage(role="user", content=prompt))
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st.chat_message("user").write(prompt)
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# Display the assistant's response with langchain query
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with st.chat_message("assistant"):
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stream_handler = StreamHandler(st.empty())
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llm = ChatOpenAI(
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model="gpt-4o-mini",
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openai_api_key=OPENAI_API_KEY,
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streaming=True,
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callbacks=[stream_handler],
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)
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response = llm.invoke(st.session_state.messages)
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st.session_state.messages.append(
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ChatMessage(role="assistant", content=response.content)
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)
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requirements.txt
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streamlit
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langchain
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langchain-openai
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