Rename app1.py to app.py

app1.py → app.py

@@ -77,7 +77,7 @@ LLAMA_MAX_MAX_NEW_TOKENS = 512
 LLAMA_DEFAULT_MAX_NEW_TOKENS = 512
 LLAMA_MAX_INPUT_TOKEN_LENGTH = int(os.getenv("MAX_INPUT_TOKEN_LENGTH", "1024"))
 llama_device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
-llama_model_id = "meta-llama/Llama-3.2-3B-Instruct"
+llama_model_id = "HuggingFaceTB/SmolLM2-360M-Instruct"
 llama_tokenizer = AutoTokenizer.from_pretrained(llama_model_id)
 llama_model = AutoModelForCausalLM.from_pretrained(
     llama_model_id,
@@ -128,7 +128,7 @@ def generate_explanation(issue_text, top_quality):
     if not top_quality:
         return "<div style='color: red;'>No explanation available as no quality tags met the threshold.</div>"
 
-    quality_name = top_quality[0]  # Get the name of the top quality
+    quality_name = top_quality[0][0]  # Get the name of the top quality
 
     prompt = f"""
 Given the following issue description: