mAI-models commited on
Commit
552a9fa
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1 Parent(s): 1bf9143

Mise à jour de app.py

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Nous avons mis à jour app.py pour une interface plus propre. Version actuelle : v1.1

Files changed (1) hide show
  1. app.py +5 -13
app.py CHANGED
@@ -1,7 +1,6 @@
1
  import gradio as gr
2
  from huggingface_hub import InferenceClient
3
 
4
-
5
  def respond(
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  message,
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  history: list[dict[str, str]],
@@ -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")
18
 
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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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-
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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,
@@ -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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- """
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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",
@@ -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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-
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  if __name__ == "__main__":
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  demo.launch()
 
1
  import gradio as gr
2
  from huggingface_hub import InferenceClient
3
 
 
4
  def respond(
5
  message,
6
  history: list[dict[str, str]],
 
10
  top_p,
11
  hf_token: gr.OAuthToken,
12
  ):
 
 
 
13
  client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
14
 
15
  messages = [{"role": "system", "content": system_message}]
 
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  messages.extend(history)
 
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  messages.append({"role": "user", "content": message})
18
 
19
  response = ""
 
20
  for message in client.chat_completion(
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  messages,
22
  max_tokens=max_tokens,
 
28
  token = ""
29
  if len(choices) and choices[0].delta.content:
30
  token = choices[0].delta.content
 
31
  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",
 
51
  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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+
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  chatbot.render()
60
 
 
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  if __name__ == "__main__":
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  demo.launch()