Upgrade deps

README.md

@@ -4,7 +4,7 @@ emoji: 🔥
 colorFrom: pink
 colorTo: blue
 sdk: gradio
-sdk_version: 3.38.0
+sdk_version: 5.21.0
 app_file: app.py
 pinned: false
 ---

app.py

@@ -6,6 +6,7 @@ from transformers import pipeline
 from transformers.pipelines.audio_utils import ffmpeg_read
 
 import tempfile
+import time
 import os
 
 MODEL_NAME = "dataprizma/whisper-large-v3-turbo"
@@ -93,11 +94,10 @@ demo = gr.Blocks()
 mf_transcribe = gr.Interface(
     fn=transcribe,
     inputs=[
-        gr.inputs.Audio(source="microphone", type="filepath", optional=True),
-        gr.inputs.Radio(["transcribe", "translate"], label="Task", default="transcribe"),
+        gr.Audio(type="filepath"),
+        gr.Radio(["transcribe", "translate"], label="Task"),
     ],
     outputs="text",
-    layout="horizontal",
     theme="huggingface",
     title="Whisper Large V3: Transcribe Audio",
     description=(
@@ -109,11 +109,10 @@ mf_transcribe = gr.Interface(
 file_transcribe = gr.Interface(
     fn=transcribe,
     inputs=[
-        gr.inputs.Audio(source="upload", type="filepath", optional=True, label="Audio file"),
-        gr.inputs.Radio(["transcribe", "translate"], label="Task", default="transcribe"),
+        gr.Audio(type="filepath", label="Audio file"),
+        gr.Radio(["transcribe", "translate"], label="Task"),
     ],
     outputs="text",
-    layout="horizontal",
     theme="huggingface",
     title="Whisper Large V3: Transcribe Audio",
     description=(
@@ -125,11 +124,10 @@ file_transcribe = gr.Interface(
 yt_transcribe = gr.Interface(
     fn=yt_transcribe,
     inputs=[
-        gr.inputs.Textbox(lines=1, placeholder="Paste the URL to a YouTube video here", label="YouTube URL"),
-        gr.inputs.Radio(["transcribe", "translate"], label="Task", default="transcribe")
+        gr.Textbox(lines=1, placeholder="Paste the URL to a YouTube video here", label="YouTube URL"),
+        gr.Radio(["transcribe", "translate"], label="Task")
     ],
     outputs=["html", "text"],
-    layout="horizontal",
     theme="huggingface",
     title="Whisper Large V3: Transcribe YouTube",
     description=(
@@ -141,4 +139,4 @@ yt_transcribe = gr.Interface(
 with demo:
     gr.TabbedInterface([mf_transcribe, file_transcribe, yt_transcribe], ["Microphone", "Audio file", "YouTube"])
 
-demo.launch(enable_queue=True)
+demo.launch()

requirements.txt

@@ -1,3 +1,4 @@
-git+https://github.com/huggingface/transformers
-torch
-yt-dlp
+transformers==4.49.0
+torch==2.6.0
+yt-dlp==2025.2.19
+gradio==5.21.0