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Duplicate from davidanthony-ai/transcription_audio_whisper
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import gradio as gr
import whisper
import ffmpeg
import streamlit.components.v1 as components
def transcribe_audio(audio_file):
model = whisper.load_model("small")
result = model.transcribe(audio_file, fp16=False)
return result["text"]
def main():
audio_input = gr.inputs.Audio(source="upload", type="filepath")
output_text = gr.outputs.Textbox()
iface = gr.Interface(fn=transcribe_audio, inputs=audio_input,
outputs=output_text, title="Transciption Audio",
description="Charger l'audio")
iface.launch(auth=("admin", "pass1234"))
if __name__ == '__main__':
main()
#