Refactor accent analysis result display; streamline code structure and improve readability in Streamlit app

src/streamlit_app.py

@@ -681,7 +681,6 @@ with tab1:
                         
                         # Create columns for results
                         col1, col2 = st.columns([2, 1])
-                        
                         with col1:
                             st.subheader("Accent Analysis Results")
                             st.markdown(f"**Detected Accent:** {results['accent']}")
@@ -691,26 +690,26 @@ with tab1:
                             # Show explanation in a box
                             st.markdown("### Expert Analysis")
                             st.info(results['explanation'])
-                          with col2:
+                        
+                        with col2:
                             if results['audio_viz']:
                                 try:
                                     st.pyplot(results['audio_viz'])
                                 except Exception as viz_error:
                                     st.warning("Could not display visualization due to torchvision issue.")
-                                    st.info("Audio analysis was successful even though visualization failed.")
-                            
-                            # Show audio playback
+                                    st.info("Audio analysis was successful even though visualization failed.")                            # Show audio playback
                             st.audio(audio_path)
-                  # Clean up files
-                try:
-                    if os.path.exists(video_path):
-                        os.remove(video_path)
-                    if os.path.exists(audio_path):
-                        os.remove(audio_path)
-                    if cookies_file and os.path.exists(cookies_file):
-                        os.remove(cookies_file)
-                except Exception as e:
-                    st.warning(f"Couldn't clean up temporary files: {str(e)}")
+                        
+                        # Clean up files
+                        try:
+                            if os.path.exists(video_path):
+                                os.remove(video_path)
+                            if os.path.exists(audio_path):
+                                os.remove(audio_path)
+                            if cookies_file and os.path.exists(cookies_file):
+                                os.remove(cookies_file)
+                        except Exception as e:
+                            st.warning(f"Couldn't clean up temporary files: {str(e)}")
             
             except Exception as e:
                 st.error(f"Error during analysis: {str(e)}")
@@ -772,31 +771,31 @@ with tab2:
                             
                         progress_bar.progress(50, text="Analyzing audio...")
                         
-                        # Process using the saved file path directly
-                        results = process_uploaded_audio(temp_file_path)
+                        # Process using the saved file path directly                        results = process_uploaded_audio(temp_file_path)
                         
                         progress_bar.progress(100, text="Analysis complete!")
                         # Display results
                         st.success("✅ Analysis Complete!")
-                    
-                    # Create columns for results
-                    col1, col2 = st.columns([2, 1])
-                    
-                    with col1:
-                        st.subheader("Accent Analysis Results")
-                        st.markdown(f"**Detected Accent:** {results['accent']}")
-                        st.markdown(f"**English Proficiency:** {results['english_confidence']:.1f}%")
-                        st.markdown(f"**Accent Confidence:** {results['accent_confidence']:.1f}%")
-                          # Show explanation in a box
-                        st.markdown("### Expert Analysis")
-                        st.info(results['explanation'])
-                      with col2:
-                        if results['audio_viz']:
-                            try:
-                                st.pyplot(results['audio_viz'])
-                            except Exception as viz_error:
-                                st.warning("Could not display visualization due to torchvision issue.")
-                                st.info("Audio analysis was successful even though visualization failed.")
+                        
+                        # Create columns for results
+                        col1, col2 = st.columns([2, 1])
+                        
+                        with col1:
+                            st.subheader("Accent Analysis Results")
+                            st.markdown(f"**Detected Accent:** {results['accent']}")
+                            st.markdown(f"**English Proficiency:** {results['english_confidence']:.1f}%")
+                            st.markdown(f"**Accent Confidence:** {results['accent_confidence']:.1f}%")
+                            
+                            # Show explanation in a box
+                            st.markdown("### Expert Analysis")
+                            st.info(results['explanation'])
+                          with col2:
+                            if results['audio_viz']:
+                                try:
+                                    st.pyplot(results['audio_viz'])
+                                except Exception as viz_error:
+                                    st.warning("Could not display visualization due to torchvision issue.")
+                                    st.info("Audio analysis was successful even though visualization failed.")
 
                 except subprocess.CalledProcessError as e:
                     st.error("Error processing audio file")