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bailandoapp / app.py

Create app.py

208dc60 about 2 years ago

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	import gradio as gr
	from transformers import pipeline
	import numpy

	pipe = pipeline(task="audio-classification", model="Rajaram1996/Hubert_emotion")

	gr.Interface.from_pipeline(pipe,
	title="Audio Emotion Classification",
	description="It will predict the mix of emotions present in the audio file",
	inputs = gr.inputs.Audio(source="upload", type="numpy"),
	outputs = gr.outputs.Label(num_top_classes=5),
	allow_flagging="never"
	).launch(inbrowser=True)