Update app.py

app.py

@@ -14,7 +14,6 @@ from huggingface_hub import login
 # Log in with token
 login(token=os.getenv("HF_Token"))
 
-
 # Load and preprocess the data
 def preprocess_data(file_path):
     """Load and preprocess the CSV data."""
@@ -74,7 +73,7 @@ def main_pipeline(file_path, user_query):
     retrieved_text = "\n".join(results['Knowledge_Text'].tolist())
 
     # Use Llama3.2 for question answering with prompt engineering
-    llm = pipeline("text-generation", model="meta-llama/Llama-3.2-1B-Instruct", use_auth_token=HF_TOKEN)
+    llm = pipeline("text-generation", model="meta-llama/Llama-3.2-1B-Instruct")
     prompt = (
         f"You are an expert sports analyst. Based on the following training data, provide a detailed and insightful answer to the user's question. "
         f"Always include relevant numerical data in your response. Limit your response to a maximum of 200 words.\n\n"
@@ -109,3 +108,4 @@ interface = gr.Interface(
 )
 
 interface.launch()
+