Update app.py

app.py

@@ -56,9 +56,9 @@ class ProgressTracker:
         self.status = status_container
         self.progress = progress_bar
         self.current_step = 0
-        self.total_steps = 5  # Total number of main processing steps
-        self.substep_container = st.empty()  # Add container for substep details
-        self.metrics_container = st.container()  # Add container for metrics
+        self.total_steps = 6  # Update total steps to include speech metrics
+        self.substep_container = st.empty()
+        self.metrics_container = st.container()
         
     def update(self, progress: float, message: str, substep: str = "", metrics: Dict[str, Any] = None):
         """Update progress bar and status message with enhanced UI feedback
@@ -2066,7 +2066,16 @@ class MentorEvaluator:
                 )
                 progress.next_step()
                 
-                # Step 4: Analyze teaching content
+                # Step 4: Calculate speech metrics (Add this step)
+                progress.update(0.0, "Analyzing speech patterns...")
+                speech_metrics = self._evaluate_speech_metrics(
+                    transcript,
+                    audio_features,
+                    progress_callback=lambda p, m: progress.update(p, "Analyzing speech patterns...", m)
+                )
+                progress.next_step()
+                
+                # Step 5: Analyze teaching content
                 progress.update(0.0, "Analyzing teaching content...")
                 teaching_analysis = self.content_analyzer.analyze_content(
                     transcript,
@@ -2074,10 +2083,11 @@ class MentorEvaluator:
                 )
                 progress.next_step()
                 
-                # Step 5: Generate final evaluation
+                # Step 6: Generate final evaluation
                 progress.update(0.0, "Generating final evaluation...")
                 evaluation = {
                     "audio_features": audio_features,
+                    "speech_metrics": speech_metrics,  # Include speech metrics in the evaluation
                     "transcript": transcript,
                     "teaching": teaching_analysis,
                     "recommendations": self._generate_recommendations(audio_features, teaching_analysis)