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Mise à jour de app.py
Browse filesNous avons mis à jour app.py pour une interface plus propre. Version actuelle : v1.1
app.py
CHANGED
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@@ -1,7 +1,6 @@
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import gradio as gr
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from huggingface_hub import InferenceClient
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-
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def respond(
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message,
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history: list[dict[str, str]],
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@@ -11,19 +10,13 @@ def respond(
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top_p,
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hf_token: gr.OAuthToken,
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):
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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(token=hf_token.token, model="openai/gpt-oss-20b")
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messages = [{"role": "system", "content": system_message}]
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-
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messages.extend(history)
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messages.append({"role": "user", "content": message})
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response = ""
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-
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for message in client.chat_completion(
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messages,
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max_tokens=max_tokens,
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@@ -35,14 +28,9 @@ def respond(
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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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-
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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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@@ -63,8 +51,12 @@ chatbot = gr.ChatInterface(
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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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import gradio as gr
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from huggingface_hub import InferenceClient
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def respond(
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message,
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history: list[dict[str, str]],
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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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messages.extend(history)
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messages.append({"role": "user", "content": message})
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response = ""
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for message in client.chat_completion(
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messages,
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max_tokens=max_tokens,
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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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chatbot = gr.ChatInterface(
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respond,
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type="messages",
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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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+
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# Titre et texte descriptif
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gr.Markdown("## m-4.0")
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gr.Markdown("Pour les tâches quotidiennes, plus rapide.")
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chatbot.render()
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if __name__ == "__main__":
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demo.launch()
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