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quran / app.py

Update app.py

9bd54f7 over 1 year ago

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	pip install transformers

	import os
	from transformers import pipeline
	import gradio as gr

	# Create a pipeline for speech recognition using the chosen model
	pipe = pipeline(model="tarteel-ai/whisper-base-ar-quran",
	use_auth_token=os.environ["HF_TARTEEL_TOKEN"]) # change to "your-username/the-name-you-picked"

	# Define a function that transcribes audio using the pipeline
	def transcribe(audio):
	text = pipe(audio)["text"]
	return text

	# Create an interface for real-time speech recognition
	iface = gr.Interface(
	fn=transcribe,
	inputs=gr.Audio(source="microphone", type="filepath"),
	outputs="text",
	title="Whisper Base for Quranic Arabic",
	description="Realtime demo for Quran speech recognition using a fine-tuned Whisper base model.",
	)

	# Launch the interface
	iface.launch()