test

app.py

@@ -11,26 +11,6 @@ cle_api = os.environ.get("CLE_API_MISTRAL")
 # Initialisation du client Mistral (API compatible OpenAI)
 clientLLM = OpenAI(api_key=cle_api, base_url="https://api.mistral.ai/v1")
 
-# Chatbot : simple écho Fonction chatbot reliée à Mistral
-def chatbot(message, history):
-    # Préparer l’historique dans le format de Mistral
-    messages = []
-    for user_msg, bot_msg in history:
-        messages.append({"role": "user", "content": user_msg})
-        messages.append({"role": "assistant", "content": bot_msg})
-    
-    messages.append({"role": "user", "content": message})
-
-    # Appel API Mistral
-    response = clientLLM.chat.completions.create(
-        model="mistral-small-latest", 
-        messages=messages
-    )
-
-    bot_reply = response.choices[0].message.content.strip()
-    history.append(("Vous: " + message, "Bot: " + bot_reply))
-    return history, history
-
 
 loop = asyncio.new_event_loop()
 asyncio.set_event_loop(loop)
@@ -78,6 +58,27 @@ class MCPClientWrapper:
 clientMCP = MCPClientWrapper()
 clientMCP.connect("mcp_server.py")
 print(f"Connected to MCP server. Available tools: {', '.join([tool['name'] for tool in clientMCP.tools])}")
+
+# Chatbot : simple écho Fonction chatbot reliée à Mistral
+def chatbot(message, history):
+    # Préparer l’historique dans le format de Mistral
+    messages = []
+    for user_msg, bot_msg in history:
+        messages.append({"role": "user", "content": user_msg})
+        messages.append({"role": "assistant", "content": bot_msg})
+    
+    messages.append({"role": "user", "content": message})
+
+    # Appel API Mistral
+    response = clientLLM.chat.completions.create(
+        model="mistral-small-latest", 
+        messages=messages,
+        tools=clientMCP.tools
+    )
+
+    bot_reply = response.choices[0].message.content.strip()
+    history.append(("Vous: " + message, "Bot: " + bot_reply))
+    return history, history
     
 with gr.Blocks() as demo: