Delete app.py

app.py

@@ -1,39 +0,0 @@
-import gradio as gr
-from pytube import YouTube
-import whisper
-
-#define transcription function
-def whisper_transcript(model_size, url, audio_file):
-    if url:
-        link = YouTube(url)
-        source = link.streams.filter(only_audio=True)[0].download(filename="audio.mp4")
-
-    else:
-        source = audio_file
-
-    options = whisper.DecodingOptions(without_timestamps=True)
-
-    loaded_model = whisper.load_model(model_size)
-    transcript = loaded_model.transcribe(source)
-
-    return transcript["text"]
-
-#DEFINE GRADIO INTERFACE
-gradio_ui = gr.Interface(
-    fn=whisper_transcript,
-    title="Transcribe multi-lingual audio clips with Whisper",
-    description= "**How to use**: Select a model, paste in a Youtube link or upload an audio clip, then click submit.",
-    article="**Note**: The larger the model size selected or the longer the audio clip, the more time it would take to process the transcript.",
-    inputs=[
-        gr.Dropdown(
-            label="Select Model",
-            choices=["base", "small", "medium", "large"],
-            value="base",
-        ),
-        gr.Textbox(label="Paste YouTube link here"),
-        gr.Audio(label="Upload Audio File", source="upload", type="filepath"),
-    ],
-    outputs=gr.outputs.Textbox(label="Whisper Transcript"),
-)
-
-gradio_ui.queue().launch()