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import gradio as gr
import whisper
def convert_to_text(audio_path : str) -> str:
model = whisper.load_model("base")
result = model.transcribe(audio_path)
return result["text"]
audio_input = gr.components.Audio(type="filepath")
iface = gr.Interface(fn=convert_to_text, inputs=audio_input, outputs="text",title="AUDIO -TEXTO",
description="Subir el Audio y Presionar el botón 'SUBMIT'\
",
#theme='freddyaboulton/dracula_revamped'
theme = gr.themes.Soft(),
css='div {margin-left: auto; margin-right: auto; width: 100%;\
background-image: url("https://drive.google.com/file/d/163uypH4ktgCRoa3ZCWcBrQt_qtz1rcPN/view?usp=drive_link"); repeat 0 0;}'))
iface.launch() |