Update app.py

app.py

@@ -44,15 +44,15 @@ def analyze_video(video_path, progress=gr.Progress()):
         speaker_general_impression = general_impressions.get(speaker_id, "")
         
         output_components.extend([
-            gr.Markdown(f"### {speaker_id}", visible=bool(speaker_charts)),
-            gr.Textbox(value=speaker_general_impression, label="General Impression", visible=bool(speaker_charts)),
-            gr.Plot(value=speaker_charts.get("attachment", None), visible=bool(speaker_charts)),
-            gr.Plot(value=speaker_charts.get("dimensions", None), visible=bool(speaker_charts)),
-            gr.Textbox(value=speaker_explanations.get("attachment", ""), label="Attachment Styles Explanation", visible=bool(speaker_charts)),
-            gr.Plot(value=speaker_charts.get("bigfive", None), visible=bool(speaker_charts)),
-            gr.Textbox(value=speaker_explanations.get("bigfive", ""), label="Big Five Traits Explanation", visible=bool(speaker_charts)),
+            gr.Markdown(f"### {speaker_id}", visible=True),
+            gr.Textbox(value=speaker_general_impression, label="General Impression", visible=True),
+            gr.Plot(value=speaker_charts.get("attachment", None), visible=True),
+            gr.Plot(value=speaker_charts.get("dimensions", None), visible=True),
+            gr.Textbox(value=speaker_explanations.get("attachment", ""), label="Attachment Styles Explanation", visible=True),
+            gr.Plot(value=speaker_charts.get("bigfive", None), visible=True),
+            gr.Textbox(value=speaker_explanations.get("bigfive", ""), label="Big Five Traits Explanation", visible=True),
             gr.Plot(value=speaker_charts.get("personality", None), visible=bool(speaker_charts)),
-            gr.Textbox(value=speaker_explanations.get("personality", ""), label="Personality Disorders Explanation", visible=bool(speaker_charts))
+            gr.Textbox(value=speaker_explanations.get("personality", ""), label="Personality Disorders Explanation", True)
         ])
 
     # Ensure we always return 32 components
@@ -104,7 +104,7 @@ with gr.Blocks() as iface:
     output_components.append(transcript)
 
     for n in range(3):  # Always create 3 speaker tabs
-        with gr.Tab(label=f'Speaker {n + 1}', visible=False) as tab:
+        with gr.Tab(label=f'Speaker {n + 1}', visible=True) as tab:
             gr.Markdown(visible=False)
             gr.Textbox(label="General Impression", visible=False)
             gr.Plot(visible=False)
@@ -116,13 +116,6 @@ with gr.Blocks() as iface:
             gr.Textbox(label="Personality Disorders Explanation", visible=False)
             output_components.extend([tab] + [component for component in tab.children])
 
-    with open('description.txt', 'r') as file:
-        description_txt = file.read()
-    with gr.Tab(label=f'Description', visible=True):
-        gr.Markdown(description_txt)
-        gr.HTML("<div style='height: 20px;'></div>")
-        gr.Image(value="appendix/AI Personality Detection flow - 1.png", label='Flowchart 1', width=1000)
-        gr.Image(value="appendix/AI Personality Detection flow - 2.png", label='Flowchart 2', width=1000)
 
     gr.Markdown("### Example Videos")
     with gr.Row():
@@ -147,6 +140,15 @@ with gr.Blocks() as iface:
             example_video_3 = gr.Video(example_video_3_path, label="Example 3", visible=False)
             use_example_button_3 = gr.Button("Load Example 3")
             
+    with open('description.txt', 'r') as file:
+        description_txt = file.read()
+    with gr.Tab(label=f'Description', visible=True):
+        gr.Markdown(description_txt)
+        gr.HTML("<div style='height: 20px;'></div>")
+        gr.Image(value="appendix/AI Personality Detection flow - 1.png", label='Flowchart 1', width=1000)
+        gr.Image(value="appendix/AI Personality Detection flow - 2.png", label='Flowchart 2', width=1000)
+
+            
     analyze_button.click(
         fn=clear_outputs,
         inputs=[],