Update app.py

app.py

@@ -1,26 +1,30 @@
-import torch
 import os 
 import requests
-import spaces 
 import gradio as gr 
 
 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()
 
 def analyze_sentiment(text):
-    prompt = f"<|begin_of_text|><|start_header_id|>system<|end_header_id|>You're a sentiment analyzer. Your role is to evaluate the general feeling of the prompt. Answer only with 'positive' or 'negative'. Don't add any explanations. Here's the text to analyze (don't add any text) : {text}<|eot_id|><|start_header_id|>user<|end_header_id|>"
-
+    def query(payload):
+        response = requests.post(API_URL, headers=headers, json=payload)
+        return response.json()
+	
     output = query({
-        "inputs": prompt,
+        "inputs": {
+            "system": "you only answer in bulgarian",
+            "user": "hello",
+        }
     })
 
+    print(output)
+
     # Assurez-vous de gérer correctement la sortie de l'API
     if isinstance(output, list) and len(output) > 0:
         return output[0].get('generated_text', 'Erreur: Réponse inattendue')