Update app.py

app.py

@@ -112,7 +112,7 @@ def generate_explanation(issue_text, quality_name):
             {"role": "system", "content": "You are an expert software engineering assistant specializing in software quality analysis."},
             {"role": "user", "content": prompt}
         ],
-        max_completion_tokens=400,
+        max_completion_tokens=300,
         temperature=0.9,
         top_p=0.9
     )
@@ -135,7 +135,7 @@ def run_classification_models(text):
             probs = softmax(outputs.logits.cpu().numpy(), axis=1)
         avg_prob = np.mean(probs[:, 1])
         quality_name = get_quality_name(model_path)
-        if avg_prob >= 0.85:
+        if avg_prob >= 0.80:
             results.append((quality_name, avg_prob))
     return results
 
@@ -160,7 +160,7 @@ def main_interface(text):
 
     if not results:
         return (
-            gr.update(value="<p style='color:orange;'>No prediction above the 0.95 threshold.</p>"),
+            gr.update(value="<p style='color:orange;'>No prediction above the 0.80 threshold, Try making the issue more descriptive and verbose.</p>"),
             gr.update(value=""),
             gr.update(value="")
         )