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Create app.py
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app.py
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import gradio as gr
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from langchain.chains import ConversationChain
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from langchain.memory import ConversationBufferMemory
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from langchain.llms import Groq
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# Initialize the language model and memory
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llm = Groq(api_key="your_groq_api_key")
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memory = ConversationBufferMemory()
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# Define the conversation chain
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conversation = ConversationChain(llm=llm, memory=memory)
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# Function to generate responses
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def generate_response(user_input):
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response = conversation.run(user_input)
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return response
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# Define additional inputs and examples if needed
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additional_inputs = []
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example1 = []
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# Create the Gradio interface
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interface = gr.ChatInterface(
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fn=generate_response,
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theme="Nymbo/Alyx_Theme",
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chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"),
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additional_inputs=additional_inputs,
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examples=example1,
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cache_examples=False,
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)
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# Launch the app
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interface.launch()
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