Update app.py

app.py

@@ -1,5 +1,13 @@
 import os
 import gradio as gr
+import logging
+
+# --- Config logs ---
+logging.basicConfig(
+    level=logging.INFO,
+    format="[%(asctime)s] %(levelname)s - %(message)s"
+)
+logger = logging.getLogger(__name__)
 
 # --- OpenAI (SDK officiel) ---
 from openai import OpenAI
@@ -15,9 +23,11 @@ DEFAULT_PROVIDER = "openai"  # ou "mistral"
 
 def llm_chat(messages, max_tokens, temperature, top_p, provider=DEFAULT_PROVIDER):
     provider = (provider or "").strip().lower()
+    logger.info(f"Appel LLM provider={provider}, max_tokens={max_tokens}, temp={temperature}, top_p={top_p}")
+    logger.info(f"Messages envoyés: {messages}")
 
     if provider == "openai":
-        # Chat Completions OpenAI
+        logger.info("→ Appel OpenAI Chat Completions")
         stream = openai_client.chat.completions.create(
             model="gpt-4o-mini",
             messages=messages,
@@ -29,10 +39,11 @@ def llm_chat(messages, max_tokens, temperature, top_p, provider=DEFAULT_PROVIDER
         for chunk in stream:
             delta = chunk.choices[0].delta
             if delta and delta.content:
+                logger.debug(f"OpenAI renvoie token: {delta.content!r}")
                 yield delta.content
 
     elif provider == "mistral":
-        # Chat Completions Mistral
+        logger.info("→ Appel Mistral Chat Completions")
         stream = mistral_client.chat.stream(
             model="mistral-large-latest",
             messages=messages,
@@ -44,10 +55,12 @@ def llm_chat(messages, max_tokens, temperature, top_p, provider=DEFAULT_PROVIDER
             if event.type == "chat.completion.chunk":
                 piece = event.data.delta or ""
                 if piece:
+                    logger.debug(f"Mistral renvoie token: {piece!r}")
                     yield piece
         stream.close()
 
     else:
+        logger.error(f"Provider inconnu: {provider}")
         yield "[Erreur] Provider inconnu (utilise 'openai' ou 'mistral')."
 
 
@@ -60,11 +73,11 @@ def respond(
     top_p,
     provider,  # "openai" ou "mistral"
 ):
-    # Construit le format messages attendu
     messages = [{"role": "system", "content": system_message}]
     messages.extend(history)
     messages.append({"role": "user", "content": message})
 
+    logger.info(f"Nouvelle requête utilisateur: {message}")
     response = ""
     for token in llm_chat(
         messages=messages,
@@ -75,6 +88,7 @@ def respond(
     ):
         response += token
         yield response
+    logger.info(f"Réponse finale générée: {response}")
 
 
 chatbot = gr.ChatInterface(