Update app.py
Browse files
app.py
CHANGED
@@ -152,12 +152,12 @@ with gr.Blocks() as chatHistory:
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role = gr.Interface(fn=roleChoice, inputs="text", outputs="text", description = "Choose your GPT roles, e.g. You are a helpful technology assistant. 你是一位 IT 架构师。 你是一位开发者关系顾问。你是一位机器学习工程师。你是一位高级 C++ 开发人员 ")
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text = gr.Interface(fn=textGPT, inputs="text", outputs="text")
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#audio = gr.Interface(fn=audioGPT, inputs=gr.Audio(source="microphone", type="filepath"), outputs="text")
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#siri = gr.Interface(fn=siriGPT, inputs=gr.Audio(source="microphone", type="filepath"), outputs = "audio")
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file = gr.Interface(fn=fileGPT, inputs=["text", "file"], outputs="text", description = "Enter prompt sentences and your PDF. e.g. lets think step by step, summarize this following text: 或者 让我们一步一步地思考,总结以下的内容:")
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demo = gr.TabbedInterface([role, text, file, chatHistory,
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if __name__ == "__main__":
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demo.launch(enable_queue=False, auth=lambda u, p: user_db.get(u) == p,
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role = gr.Interface(fn=roleChoice, inputs="text", outputs="text", description = "Choose your GPT roles, e.g. You are a helpful technology assistant. 你是一位 IT 架构师。 你是一位开发者关系顾问。你是一位机器学习工程师。你是一位高级 C++ 开发人员 ")
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text = gr.Interface(fn=textGPT, inputs="text", outputs="text")
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vector_server = gr.Interface(fn=process_file, inputs=["text", gr.inputs.File(file_count="directory")], outputs="text")
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#audio = gr.Interface(fn=audioGPT, inputs=gr.Audio(source="microphone", type="filepath"), outputs="text")
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#siri = gr.Interface(fn=siriGPT, inputs=gr.Audio(source="microphone", type="filepath"), outputs = "audio")
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file = gr.Interface(fn=fileGPT, inputs=["text", "file"], outputs="text", description = "Enter prompt sentences and your PDF. e.g. lets think step by step, summarize this following text: 或者 让我们一步一步地思考,总结以下的内容:")
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demo = gr.TabbedInterface([role, text, file, chatHistory, vector_server], [ "roleChoice", "chatGPT", "fileGPT", "ChatHistory", "VectorServer"])
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if __name__ == "__main__":
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demo.launch(enable_queue=False, auth=lambda u, p: user_db.get(u) == p,
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