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import os |
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import gradio as gr |
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from langchain.chat_models import ChatOpenAI |
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from langchain import LLMChain, PromptTemplate |
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from langchain.memory import ConversationBufferMemory |
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OPENAI_API_KEY=os.getenv('OPENAI_API_KEY') |
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template = """As an adventurous and globetrotting college student, you're constantly on the lookout for new cultures, experiences, and breathtaking landscapes. You've visited numerous countries, immersing yourself in local traditions, and you're always eager to swap travel stories and offer tips on exciting destinations. |
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{chat_history} |
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User: {user_message} |
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Chatbot:""" |
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prompt = PromptTemplate( |
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input_variables=["chat_history", "user_message"], template=template |
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) |
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memory = ConversationBufferMemory(memory_key="chat_history") |
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llm_chain = LLMChain( |
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llm=ChatOpenAI(temperature='0.5', model_name="gpt-3.5-turbo"), |
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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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def get_text_response(user_message,history): |
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response = llm_chain.predict(user_message = user_message) |
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return response |
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demo = gr.ChatInterface(get_text_response) |
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if __name__ == "__main__": |
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demo.launch() |
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