Update app.py

app.py

@@ -16,50 +16,24 @@ def create_interface():
             execution_time = gr.Textbox(label="Execution Time", visible=False)
             detected_language = gr.Textbox(label="Detected Language", visible=False)
             
-            # Container for dynamically created charts and explanations
-            output_container = gr.Column()
+            # Create placeholders for charts and explanations
+            charts_and_explanations = []
+            for _ in range(6):  # 3 analysis types * 2 speakers
+                with gr.Row():
+                    charts_and_explanations.append(gr.Plot(visible=False))
+                    charts_and_explanations.append(gr.Textbox(visible=False))
 
         def process_and_update(input_file):
             # Process the input
             results = process_input(input_file, progress=gr.Progress())
             
             # Create and update charts and explanations
-            outputs = update_visibility_and_charts(*results)
-            
-            print("Outputs from process_and_update:", outputs)
-            
-            # Extract the first three outputs for status, execution time, and language
-            status, exec_time, lang = outputs[:3]
-            
-            # Combine all chart and explanation outputs into a list of components
-            dynamic_outputs = outputs[3:]
-            
-            # Create a list of Gradio components for the dynamic outputs
-            dynamic_components = []
-            for output in dynamic_outputs:
-                if isinstance(output, gr.components.Plot):
-                    dynamic_components.append(gr.Plot())
-                elif isinstance(output, gr.components.Textbox):
-                    dynamic_components.append(gr.Textbox())
-            
-            # Return all outputs
-            return [status, exec_time, lang] + dynamic_outputs
-
-        # Define the outputs for the interface
-        outputs = [
-            status_text,
-            execution_time,
-            detected_language,
-        ]
-        # Add dynamic output components
-        for _ in range(6):  # Assuming maximum 2 speakers and 3 analysis types
-            outputs.append(gr.Plot())
-            outputs.append(gr.Textbox())
+            return update_visibility_and_charts(*results)
 
         input_file.upload(
             fn=process_and_update,
             inputs=[input_file],
-            outputs=outputs
+            outputs=[status_text, execution_time, detected_language] + charts_and_explanations
         )
 
     return iface