first commit

app.py

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+import whisper
+import config
+import gradio as gr
+
+
+def get_text(audio_path):
+    print(aud)
+    model = whisper.load_model(name='base', download_root=config.MODEL_DIR)
+    results = model.transcribe(audio_path)
+    return results['text']
+
+
+label = gr.components.Text()
+vd = gr.components.Audio(type="filepath")
+
+
+iface = gr.Interface(fn=get_text, inputs=vd, outputs=label)
+iface.launch()
+
+
+

config.py

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+import os
+MODEL_DIR = os.path.join(os.getcwd(), 'models', 'model.h5')

requirements.txt

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+openai-whisper
+gradio
+ffmpeg-python
+nvidia-cudnn