Update app.py

app.py

@@ -1,26 +1,28 @@
 import requests
 import gradio as gr
-import spaces 
-import os 
-
+import os
 
 api_token = os.environ.get("TOKEN")
 
-
 API_URL = "https://api-inference.huggingface.co/models/meta-llama/Meta-llama-3-8B-Instruct"
 headers = {"Authorization": f"Bearer {api_token}"}
 
-@spaces.GPU
-
 def query(payload):
     response = requests.post(API_URL, headers=headers, json=payload)
-    return response.json()
+    if response.status_code == 200:
+        return response.json()
+    else:
+        raise Exception(f"Request failed with status code {response.status_code}: {response.text}")
 
 def detect_sentiment(message):
     prompt = f"Détecte le sentiment de ce message. Réponds par 'positif' ou 'négatif' :\nMessage : \"{message}\""
     response = query({"inputs": prompt})
-    sentiment = response[0]['generated_text'].strip().lower()
-    return sentiment
+    generated_texts = response.get('generated_text', [])
+    if generated_texts:
+        sentiment = generated_texts[0].strip().lower()
+        return sentiment
+    else:
+        raise Exception("No generated_text found in API response")
 
 def sentiment_analysis_interface(message):
     sentiment = detect_sentiment(message)
@@ -36,4 +38,4 @@ iface = gr.Interface(
 )
 
 # Lancer l'interface
-iface.launch()
+iface.launch()