Update app.py

app.py

@@ -1,6 +1,9 @@
+import os
 import gradio as gr
 from huggingface_hub import InferenceClient
 
+# Récupérer le token depuis les variables d'environnement (Secrets)
+HF_TOKEN = os.environ.get("HF_TOKEN")
 
 def respond(
     message,
@@ -9,35 +12,40 @@ def respond(
     max_tokens,
     temperature,
     top_p,
-    hf_token: gr.OAuthToken,
 ):
     """
     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
     """
-    client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
+    if not HF_TOKEN:
+        yield "❌ Erreur : HF_TOKEN non configuré. Ajoutez-le dans les Secrets de votre Space."
+        return
+    
+    try:
+        client = InferenceClient(token=HF_TOKEN, model="openai/gpt-oss-20b")
 
-    messages = [{"role": "system", "content": system_message}]
+        messages = [{"role": "system", "content": system_message}]
+        messages.extend(history)
+        messages.append({"role": "user", "content": message})
 
-    messages.extend(history)
+        response = ""
 
-    messages.append({"role": "user", "content": message})
+        for message in client.chat_completion(
+            messages,
+            max_tokens=max_tokens,
+            stream=True,
+            temperature=temperature,
+            top_p=top_p,
+        ):
+            choices = message.choices
+            token = ""
+            if len(choices) and choices[0].delta.content:
+                token = choices[0].delta.content
 
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        choices = message.choices
-        token = ""
-        if len(choices) and choices[0].delta.content:
-            token = choices[0].delta.content
-
-        response += token
-        yield response
+            response += token
+            yield response
+            
+    except Exception as e:
+        yield f"❌ Erreur : {str(e)}"
 
 
 """
@@ -61,10 +69,15 @@ chatbot = gr.ChatInterface(
 )
 
 with gr.Blocks() as demo:
-    with gr.Sidebar():
-        gr.LoginButton()
+    # Affichage d'information sur le token (debug)
+    gr.Markdown(f"Token configuré: {'✅ Oui' if HF_TOKEN else '❌ Non'}")
+    
+    # Vous pouvez retirer le LoginButton puisque nous utilisons le token direct
+    # with gr.Sidebar():
+    #     gr.LoginButton()
+    
     chatbot.render()
 
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()