Update app.py (#4)

- Update app.py (d87432cacb951f3bf583d2a6a23d7f6139a7999b)


Co-authored-by: Manay Porwal <manayporwal07@users.noreply.huggingface.co>

app.py

@@ -32,16 +32,16 @@ custom_css = """
 }
 """
 
-# --- Core Functions ---
-
+# Single Evaluation Process
 def process_single_evaluation(
     prompt: str,
     response: str,
     expected_answer: Optional[str] = None,
     agent_name: str = "Agent-1",
     task_type: str = "general"
-) -> Tuple[Dict, go.Figure, go.Figure, str]:
-    """Process a single agent response evaluation"""
+    ) -> Tuple[Dict, go.Figure, go.Figure, str]:
+
+    # If Prompt or Response is missing from User
     if not prompt or not response:
         return {}, go.Figure(), go.Figure(), "Please provide both prompt and response."
 
@@ -54,17 +54,17 @@ def process_single_evaluation(
     )
     scores = eval_result.get("scores", {})
     
-    # Store result for explainability
-    eval_id = scores.get("eval_id", "")
-    if eval_id:
-        evaluation_storage[eval_id] = eval_result
-        print(f"Stored evaluation {eval_id}")
+    # # Store result for explainability
+    # eval_id = scores.get("eval_id", "")
+    # if eval_id:
+    #     evaluation_storage[eval_id] = eval_result
+    #     print(f"Stored evaluation {eval_id}")
 
     # Generate visualizations
     spider_chart = visualizer.create_spider_chart(scores, agent_name)
     score_bars = visualizer.create_score_bars(scores, agent_name)
 
-    # Generate explanation
+    # Generating explanation
     explanation = evaluator.generate_explanation(scores)
 
     # Format scores for display
@@ -73,14 +73,15 @@ def process_single_evaluation(
     
     return scores_display, spider_chart, score_bars, explanation
 
+# For Batch Evaluation
 def process_batch_evaluation(
     file_input,
     evaluation_mode: str = "comprehensive"
 ) -> Tuple[go.Figure, go.Figure, go.Figure, str, pd.DataFrame]:
-    """Process batch evaluation from uploaded file"""
+
+    # If file input is None
     if file_input is None:
         return go.Figure(), go.Figure(), go.Figure(), "Please upload a file.", pd.DataFrame()
-
     try:
         if file_input.name.endswith('.json'):
             with open(file_input.name, 'r') as f:
@@ -102,7 +103,7 @@ def process_batch_evaluation(
         #     if eval_id:
         #         evaluation_storage[eval_id] = res
 
-        # Generate visualizations
+        # Generating visualizations
         heatmap = visualizer.create_evaluation_heatmap(results)
         distribution = visualizer.create_score_distribution(results)
         trends = visualizer.create_performance_trends(results)