Duplicate from tomaseo2022/Whisper-Youtube

Co-authored-by: Tomas Eo <tomaseo2022@users.noreply.huggingface.co>

.gitattributes

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+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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LICENSE

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README.md

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+---
+title: Youtube Whisperer
+emoji: ⚡
+colorFrom: purple
+colorTo: yellow
+sdk: gradio
+sdk_version: 3.3.1
+app_file: app.py
+pinned: false
+duplicated_from: tomaseo2022/Whisper-Youtube
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+import whisper
+from pytube import YouTube
+
+loaded_model = whisper.load_model("base")
+current_size = 'base'
+def inference(link):
+  yt = YouTube(link)
+  path = yt.streams.filter(only_audio=True)[0].download(filename="audio.mp4")
+  options = whisper.DecodingOptions(without_timestamps=True)
+  results = loaded_model.transcribe(path)
+  return results['text']
+
+def change_model(size):
+  if size == current_size:
+    return
+  loaded_model = whisper.load_model(size)
+  current_size = size
+
+def populate_metadata(link):
+  yt = YouTube(link)
+  return yt.thumbnail_url, yt.title
+
+title=""
+description=""
+block = gr.Blocks()
+with block:
+    gr.HTML(
+        """
+            <div style="text-align: center; max-width: 500px; margin: 0 auto;">
+              <div>
+              </div>
+            </div>
+        """
+    )
+    with gr.Group():
+        with gr.Box():
+          sz = gr.Dropdown(label="Model Size", choices=['base','small', 'medium', 'large'], value='base')
+          
+          link = gr.Textbox(label="YouTube Link")
+          
+          with gr.Row().style(mobile_collapse=False, equal_height=True):
+            title = gr.Label(label="Video Title", placeholder="Title")
+            img = gr.Image(label="Thumbnail")
+          text = gr.Textbox(
+              label="Transcription", 
+              placeholder="Transcription Output",
+              lines=5)
+          with gr.Row().style(mobile_collapse=False, equal_height=True): 
+              btn = gr.Button("Transcribe")       
+          
+          # Events
+          btn.click(inference, inputs=[link], outputs=[text])
+          link.change(populate_metadata, inputs=[link], outputs=[img, title])
+          sz.change(change_model, inputs=[sz], outputs=[])
+
+block.launch(debug=True)
+
+demo = gr.Interface(css="footer {visibility: hidden}")

requirements.txt

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+transformers
+git+https://github.com/openai/whisper.git
+pytube