Using langchain
Browse files- app.py +11 -3
- requirements.txt +4 -0
app.py
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@@ -1,9 +1,17 @@
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import gradio as gr
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if __name__ == "__main__":
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demo.launch()
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from langchain.chains import SimpleChain
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from langchain.llms import OpenAI
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import gradio as gr
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# 創建一個簡單的 LangChain
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llm = OpenAI(api_key="YOUR_OPENAI_API_KEY")
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chain = SimpleChain(llm=llm, input_key="input", output_key="response")
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def langchain_chat(input_text):
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response = chain.run({"input": input_text})
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return response['response']
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# 使用 Gradio 創建界面
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demo = gr.Interface(fn=langchain_chat, inputs="text", outputs="text")
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if __name__ == "__main__":
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demo.launch()
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requirements.txt
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@@ -5,3 +5,7 @@ torch
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transformers
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xformers
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gradio
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transformers
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xformers
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gradio
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openai
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langchain
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gradio
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