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Create app.py
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app.py
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import os
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from dotenv import load_dotenv
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import gradio as gr
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from langchain_openai import ChatOpenAI
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from langchain.prompts import (
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ChatPromptTemplate,
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MessagesPlaceholder,
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SystemMessagePromptTemplate,
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HumanMessagePromptTemplate,
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)
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from langchain_core.output_parsers import StrOutputParser
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from langchain.chains import LLMChain
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from langchain.memory import ConversationBufferMemory
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# Load environment variables
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load_dotenv()
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OPENAI_SECRET_KEY = os.getenv("OPENAI_API_KEY")
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def initialize_chatbot():
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"""Initialize the chatbot components."""
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if not OPENAI_SECRET_KEY:
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raise ValueError("OpenAI API Key not found in environment variables.")
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# Initialize the chatbot components
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llm = ChatOpenAI(api_key=OPENAI_SECRET_KEY)
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prompt = ChatPromptTemplate(
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messages=[
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SystemMessagePromptTemplate.from_template(
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"You are a nice chatbot having a conversation with a human."
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),
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MessagesPlaceholder(variable_name="chat_history"),
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HumanMessagePromptTemplate.from_template("{question}")
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]
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)
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memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
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conversation = LLMChain(
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llm=llm,
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prompt=prompt,
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verbose=True,
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memory=memory
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)
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output_parser = StrOutputParser()
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chain = conversation
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return chain
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# Initialize the chatbot outside of the function to make it accessible
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chain = initialize_chatbot()
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def chat_response(message, history):
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"""Generate response for the given message."""
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response = chain.invoke({"question": message})
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return response
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if __name__ == "__main__":
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# Launch the chat interface
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gr.ChatInterface(
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chat_response,
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chatbot=gr.Chatbot(height=500),
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textbox=gr.Textbox(placeholder="", container=False, scale=7),
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title="ChatBot",
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description="Ask any question",
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theme="soft",
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examples=["Hello", "Am I cool?", "What is GenAI?"],
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cache_examples=True,
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retry_btn=None,
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undo_btn="Delete Previous",
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clear_btn="Clear",
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).launch()
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