Spaces:
Running
Running
Freddy Boulton
commited on
Commit
·
3eb4b38
1
Parent(s):
8d610eb
Oauth
Browse files
README.md
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@@ -7,6 +7,9 @@ sdk: gradio
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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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---
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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
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@@ -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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"""
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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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if __name__ == "__main__":
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demo.launch()
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