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from src import infer, utils
import gradio as gr
infer.model_preloader_downloader()
AUDIO_EXAMPLE = [
[None, "assets/audio/male-indonesian.wav", None],
[None, "assets/audio/female-indonesian.wav", None],
[None, "assets/audio/male-english.wav", None],
[None, "assets/audio/female-english.wav", None],
]
TITLE = "OpenAI Whisper"
DESCRIPTION = utils.parsing_text("assets/descriptions.md")
ARTICLE = utils.parsing_text("assets/articles.md")
demo = gr.Interface(
fn=infer.predict,
inputs=[
gr.Dropdown(
label="Model",
choices=[
"tiny", "base", "small", "medium",
"large", "large-v1", "large-v2"
],
value="base"),
gr.Radio(label="Language",
choices=["indonesian","english"],
value="indonesian"),
gr.Audio(label="Speak", source="microphone", type="filepath"),
gr.Audio(label="Upload Audio", source="upload", type="filepath"),
],
outputs=[gr.TextArea(label="Output Text"),],
title=TITLE,
description=DESCRIPTION,
article=ARTICLE,
# examples=audio_examples,
)
demo.launch() |