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		Freddy Boulton
		
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						3eb4b38
	
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							8d610eb
								
Oauth
Browse files
    	
        README.md
    CHANGED
    
    | @@ -7,6 +7,9 @@ sdk: gradio | |
| 7 | 
             
            sdk_version: 5.42.0
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            app_file: app.py
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            pinned: false
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            ---
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            An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).
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            sdk_version: 5.42.0
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            app_file: app.py
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            pinned: false
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            +
            hf_oauth: true
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            hf_oauth_scopes:
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            +
             - inference-api
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            ---
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            An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).
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        app.py
    CHANGED
    
    | @@ -4,7 +4,6 @@ from huggingface_hub import InferenceClient | |
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            """
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            For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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            """
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            -
            client = InferenceClient(model="openai/gpt-oss-20b", provider="auto")
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            def respond(
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| @@ -14,7 +13,9 @@ def respond( | |
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                max_tokens,
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                temperature,
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                top_p,
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            ):
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                messages = [{"role": "system", "content": system_message}]
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                for val in history:
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| @@ -34,7 +35,10 @@ def respond( | |
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                    temperature=temperature,
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                    top_p=top_p,
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                ):
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            -
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                    response += token
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                    yield response
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| @@ -43,8 +47,9 @@ def respond( | |
| 43 | 
             
            """
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            For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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            """
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            -
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                respond,
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                additional_inputs=[
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                    gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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                    gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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| @@ -59,6 +64,11 @@ demo = gr.ChatInterface( | |
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                ],
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            )
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            if __name__ == "__main__":
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                demo.launch()
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            """
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            For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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            """
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            def respond(
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                max_tokens,
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                temperature,
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                top_p,
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            +
                hf_token: gr.OAuthToken,
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            ):
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            +
                client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
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                messages = [{"role": "system", "content": system_message}]
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                for val in history:
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                    temperature=temperature,
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                    top_p=top_p,
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                ):
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            +
                    choices = message.choices
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            +
                    token = ""
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            +
                    if len(choices) and choices[0].delta.content:
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            +
                        token = choices[0].delta.content
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                    response += token
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                    yield response
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            """
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            For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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            """
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            +
            chatbot = gr.ChatInterface(
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                respond,
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            +
                type="messages",
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                additional_inputs=[
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                    gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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                    gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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                ],
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            )
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            +
            with gr.Blocks() as demo:
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                with gr.Sidebar():
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                    gr.LoginButton()
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                chatbot.render()
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            +
             | 
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            if __name__ == "__main__":
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                demo.launch()
         | 
