Update app.py

app.py

@@ -91,11 +91,11 @@ if st.session_state.audio_path and not st.session_state.transcription:
                 st.success("Audio extracted and ready for analysis!")
                 unload_model(st.session_state.whisper)
             
-                if 'classifier' not in st.session_state:
-                    st.session_state.classifier = load_accent_model()
-                mem = psutil.virtual_memory()
-                st.write(f"Memory used: {mem.percent}%")
-                time.sleep(5)
+            if 'classifier' not in st.session_state:
+                st.session_state.classifier = load_accent_model()
+            mem = psutil.virtual_memory()
+            st.write(f"Memory used: {mem.percent}%")
+            time.sleep(5)
        
 
 if st.session_state.transcription:
@@ -108,6 +108,9 @@ if st.session_state.transcription:
                 readable_accent, confidence = analyze_accent(waveform, sample_rate, st.session_state.classifier)
 
                 if readable_accent:
+                    st.audio(st.session_state.audio_path, format='audio/wav')
+                    st.markdown(" Transcript Preview")
+                    st.markdown(st.session_state.transcription)
                     st.success(f"Accent Detected: **{readable_accent}**")
                     st.info(f"Confidence: {confidence}%")