sử dụng các tab trong gr.Blocks() thay vì sử dụng gr.TabbedInterface

app.py

@@ -4,7 +4,7 @@ from PIL import Image
 import torch
 import tempfile
 import os
-#from moviepy.editor import VideoFileClip
+from moviepy.editor import VideoFileClip
 
 # Kiểm tra thiết bị sử dụng GPU hay CPU
 device = "cuda" if torch.cuda.is_available() else "cpu"
@@ -39,31 +39,30 @@ def classify_video(video, model_name):
     result = classifier(image)
     return result[0]['label'], result[0]['score']
 
-# Giao diện Gradio
+# Giao diện Gradio với các tab
 with gr.Blocks() as demo:
-    with gr.TabbedInterface() as tabs:
-        with gr.TabItem("Image Classification"):
-            gr.Markdown("### Upload an image for classification")
-            with gr.Row():
-                model_choice_image = gr.Dropdown(choices=["ViT", "ResNet"], label="Choose a Model", value="ViT")
-                image_input = gr.Image(type="pil", label="Upload Image")
-                image_output_label = gr.Textbox(label="Prediction")
-                image_output_score = gr.Textbox(label="Confidence Score")
+    with gr.Tab("Image Classification"):
+        gr.Markdown("### Upload an image for classification")
+        with gr.Row():
+            model_choice_image = gr.Dropdown(choices=["ViT", "ResNet"], label="Choose a Model", value="ViT")
+            image_input = gr.Image(type="pil", label="Upload Image")
+            image_output_label = gr.Textbox(label="Prediction")
+            image_output_score = gr.Textbox(label="Confidence Score")
 
-            classify_image_button = gr.Button("Classify Image")
+        classify_image_button = gr.Button("Classify Image")
 
-            classify_image_button.click(classify_image, inputs=[image_input, model_choice_image], outputs=[image_output_label, image_output_score])
+        classify_image_button.click(classify_image, inputs=[image_input, model_choice_image], outputs=[image_output_label, image_output_score])
 
-        with gr.TabItem("Video Classification"):
-            gr.Markdown("### Upload a video for classification")
-            with gr.Row():
-                model_choice_video = gr.Dropdown(choices=["ViT", "ResNet"], label="Choose a Model", value="ViT")
-                video_input = gr.Video(label="Upload Video")
-                video_output_label = gr.Textbox(label="Prediction")
-                video_output_score = gr.Textbox(label="Confidence Score")
+    with gr.Tab("Video Classification"):
+        gr.Markdown("### Upload a video for classification")
+        with gr.Row():
+            model_choice_video = gr.Dropdown(choices=["ViT", "ResNet"], label="Choose a Model", value="ViT")
+            video_input = gr.Video(label="Upload Video")
+            video_output_label = gr.Textbox(label="Prediction")
+            video_output_score = gr.Textbox(label="Confidence Score")
 
-            classify_video_button = gr.Button("Classify Video")
+        classify_video_button = gr.Button("Classify Video")
 
-            classify_video_button.click(classify_video, inputs=[video_input, model_choice_video], outputs=[video_output_label, video_output_score])
+        classify_video_button.click(classify_video, inputs=[video_input, model_choice_video], outputs=[video_output_label, video_output_score])
 
     demo.launch()