Update app.py

app.py

@@ -27,7 +27,7 @@ def analyze_video(video_path, language_display_name, max_speakers, progress=gr.P
     start_time = time.time()
 
     if not video_path:
-        return [gr.Markdown("Please upload a video file.")] + [gr.Markdown(visible=False) for _ in range(48)] + ["Analysis not started."]
+        return [gr.Markdown("Please upload a video file.")] + [None] * 48 + ["Analysis not started."]
 
     # Convert the display name to the language code
     language = LANGUAGE_MAP[language_display_name]
@@ -68,21 +68,21 @@ def analyze_video(video_path, language_display_name, max_speakers, progress=gr.P
 
         output_components.extend([
             gr.Markdown(f"### {speaker_id}"),
-            gr.Plot(speaker_charts.get("attachment", None)) if "attachment" in speaker_charts else gr.Markdown(visible=False),
-            gr.Textbox(value=speaker_explanations.get("attachment", ""), label=f"Attachment Styles Explanation - {speaker_id}", lines=2) if "attachment" in speaker_charts else gr.Markdown(visible=False),
-            gr.Plot(speaker_charts.get("dimensions", None)) if "dimensions" in speaker_charts else gr.Markdown(visible=False),
-            gr.Plot(speaker_charts.get("bigfive", None)) if "bigfive" in speaker_charts else gr.Markdown(visible=False),
-            gr.Textbox(value=speaker_explanations.get("bigfive", ""), label=f"Big Five Traits Explanation - {speaker_id}", lines=2) if "bigfive" in speaker_charts else gr.Markdown(visible=False),
-            gr.Plot(speaker_charts.get("personality", None)) if "personality" in speaker_charts else gr.Markdown(visible=False),
-            gr.Textbox(value=speaker_explanations.get("personality", ""), label=f"Personality Disorders Explanation - {speaker_id}", lines=2) if "personality" in speaker_charts else gr.Markdown(visible=False),
+            speaker_charts.get("attachment", None),
+            speaker_explanations.get("attachment", ""),
+            speaker_charts.get("dimensions", None),
+            speaker_charts.get("bigfive", None),
+            speaker_explanations.get("bigfive", ""),
+            speaker_charts.get("personality", None),
+            speaker_explanations.get("personality", ""),
         ])
 
     # Add the transcript at the end
-    output_components.append(gr.Textbox(value=transcription, label="Transcript", lines=10))
+    output_components.append(transcription)
 
-    # Pad the output with invisible components if necessary
+    # Pad the output with None if necessary
     while len(output_components) < 49:
-        output_components.append(gr.Markdown(visible=False))
+        output_components.append(None)
 
     # Add the execution time
     output_components.append(f"Completed in {int(execution_time)} seconds.")
@@ -101,7 +101,17 @@ with gr.Blocks() as iface:
     analyze_button = gr.Button("Analyze")
 
     # Create placeholders for output components
-    output_components = [gr.Markdown(visible=False) for _ in range(49)]
+    output_components = [
+        gr.Markdown(visible=False),
+        gr.Plot(visible=False),
+        gr.Textbox(label="Attachment Styles Explanation", visible=False),
+        gr.Plot(visible=False),
+        gr.Plot(visible=False),
+        gr.Textbox(label="Big Five Traits Explanation", visible=False),
+        gr.Plot(visible=False),
+        gr.Textbox(label="Personality Disorders Explanation", visible=False),
+    ] * 3  # Assuming maximum of 6 speakers
+    output_components.append(gr.Textbox(label="Transcript", lines=10, visible=False))
     execution_info_box = gr.Textbox(label="Execution Information", value="Waiting for analysis...", lines=2)
 
     analyze_button.click(