Upload 2 files

app.py

@@ -1,21 +1,25 @@
 from transformers import pipeline
 import gradio as gr
-from huggingface_hub import notebook_login
+from pytube import YouTube
 
-notebook_login()
+pipe = pipeline(model="kk90ujhun/whisper-small-zh")  # change to "your-username/the-name-you-picked"
 
-pipe = pipeline(model="WCarlW/whisper-small-hi")  # change to "your-username/the-name-you-picked"
-
-def transcribe(audio):
+def transcribe(audio,url):
+    if url:
+      youtubeObject = YouTube(url).streams.first().download()
+      audio = youtubeObject
     text = pipe(audio)["text"]
     return text
 
 iface = gr.Interface(
-    fn=transcribe, 
-    inputs=gr.Audio(source="microphone", type="filepath"), 
+    fn=transcribe,
+    inputs=[
+            gr.Audio(source="microphone", type="filepath"),
+            gr.inputs.Textbox(label="give me an url",default ="https://www.youtube.com/watch?v=YzGsIavAo_E")
+            ],
     outputs="text",
-    title="Whisper Small Hindi",
-    description="Realtime demo for Hindi speech recognition using a fine-tuned Whisper small model.",
+    title="Whisper Small Chinese",
+    description="Realtime demo for chinese speech recognition using a fine-tuned Whisper small model.",
 )
 
 iface.launch()

requirements.txt

@@ -1,3 +1,3 @@
 gradio
 git+https://github.com/huggingface/transformers
-ipywidgets
+pytube