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Update app.py
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app.py
CHANGED
@@ -1,24 +1,10 @@
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import gradio as gr
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from huggingsound import SpeechRecognitionModel
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from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
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from pydub import AudioSegment
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import io
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# Función para convertir la tasa de muestreo del audio de entrada
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def convert_sampling_rate(audio, target_sr=48000):
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if isinstance(audio, tuple):
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audio_data, sample_rate = audio
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audio_data = audio_data.to_bytes((audio_data.bit_length() + 7) // 8, 'big')
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else:
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audio_data = audio
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audio = AudioSegment.from_wav(io.BytesIO(audio_data))
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audio = audio.set_frame_rate(target_sr)
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return audio.raw_dataa
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def modelo1(audio):
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# Convertir la tasa de muestreo del audio
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audio = convert_sampling_rate(audio)
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model = SpeechRecognitionModel("jonatasgrosman/wav2vec2-large-xlsr-53-english")
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transcriptions = model.transcribe(audio)
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return transcriptions
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import gradio as gr
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from huggingsound import SpeechRecognitionModel
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from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
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# Función para convertir la tasa de muestreo del audio de entrada
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def modelo1(audio):
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# Convertir la tasa de muestreo del audio
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model = SpeechRecognitionModel("jonatasgrosman/wav2vec2-large-xlsr-53-english")
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transcriptions = model.transcribe(audio)
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return transcriptions
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