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DrishtiSharma
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Upload app.py
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app.py
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from io import BytesIO
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from typing import Tuple
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import wave
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import gradio as gr
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import numpy as np
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from pydub.audio_segment import AudioSegment
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import requests
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from os.path import exists
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from stt import Model
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# download model
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storage_url = "https://coqui.gateway.scarf.sh/mixtec/jemeyer/v1.0.0"
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model_name = "model.tflite"
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model_link = f"{storage_url}/{model_name}"
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def client(audio_data: np.array, sample_rate: int, use_scorer=False):
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output_audio = _convert_audio(audio_data, sample_rate)
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fin = wave.open(output_audio, 'rb')
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audio = np.frombuffer(fin.readframes(fin.getnframes()), np.int16)
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fin.close()
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ds = Model(model_name)
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if use_scorer:
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ds.enableExternalScorer("kenlm.scorer")
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result = ds.stt(audio)
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return result
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def download(url, file_name):
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if not exists(file_name):
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print(f"Downloading {file_name}")
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r = requests.get(url, allow_redirects=True)
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with open(file_name, 'wb') as file:
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file.write(r.content)
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else:
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print(f"Found {file_name}. Skipping download...")
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def stt(audio: Tuple[int, np.array]):
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sample_rate, audio = audio
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use_scorer = False
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recognized_result = client(audio, sample_rate, use_scorer)
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return recognized_result
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def _convert_audio(audio_data: np.array, sample_rate: int):
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source_audio = BytesIO()
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source_audio.write(audio_data)
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source_audio.seek(0)
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output_audio = BytesIO()
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wav_file = AudioSegment.from_raw(
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source_audio,
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channels=1,
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sample_width=2,
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frame_rate=sample_rate
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)
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wav_file.set_frame_rate(16000).set_channels(
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1).export(output_audio, "wav", codec="pcm_s16le")
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output_audio.seek(0)
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return output_audio
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iface = gr.Interface(
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fn=stt,
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inputs=[
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gr.inputs.Audio(type="numpy",
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label=None, optional=False),
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],
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outputs=gr.outputs.Textbox(label="Output"),
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title="Coqui STT Yoloxochitl Mixtec",
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theme="huggingface",
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description="Prueba de dictado a texto para el mixteco de Yoloxochitl, usando [el modelo entrenado por Josh Meyer](https://coqui.ai/mixtec/jemeyer/v1.0.0/) con [los datos recopilados por Rey Castillo y sus colaboradoes](https://www.openslr.org/89). Esta prueba es basada en la de [Ukraniano](https://huggingface.co/spaces/robinhad/ukrainian-stt). \n\n"
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"Speech-to-text demo for Yoloxochitl Mixtec, using [the model trained by Josh Meyer](https://coqui.ai/mixtec/jemeyer/v1.0.0/) on [the corpus compiled by Rey Castillo and collaborators](https://www.openslr.org/89). This demo is based on the [Ukrainian STT demo](https://huggingface.co/spaces/robinhad/ukrainian-stt).",
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)
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download(model_link, model_name)
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iface.launch()
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