Update app.py

app.py

@@ -1,8 +1,12 @@
 import torch
-# from PIL import Image
+
 import gradio as gr
-import yt_dlp as youtube_dl # 用 yt_dlp 代替 pytube
+import yt_dlp as youtube_dl
 from transformers import pipeline
+from transformers.pipelines.audio_utils import ffmpeg_read
+
+import tempfile
+import os
 
 MODEL_NAME = "openai/whisper-large-v3"
 device = 0 if torch.cuda.is_available() else "cpu"
@@ -148,4 +152,4 @@ with demo:
     gr.TabbedInterface([mf_transcribe, yt_transcribe], ["转译音频成文字", "YouTube转字幕"])
 # Create a gradio interface with no inputs and four outputs
 # gr.Interface(display_images, [], [gr.outputs.Image(), gr.outputs.Textbox(), gr.outputs.Image(), gr.outputs.Textbox()], layout="horizontal").launch()
-demo.launch(enable_queue=True)
+demo.launch(enable_queue=True)