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Create app.py
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app.py
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from transformers import BlenderbotTokenizer, BlenderbotForConditionalGeneration, pipeline
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import gradio as gr
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from textblob import TextBlob as tb
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mname = "facebook/blenderbot-400M-distill"
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model = BlenderbotForConditionalGeneration.from_pretrained(mname)
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tokenizer = BlenderbotTokenizer.from_pretrained(mname)
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p = pipeline("automatic-speech-recognition", model = "facebook/wav2vec2-large-xlsr-53-spanish")
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def transcribe(audio): # Desde un mensaje de voz en español
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mensaje_voz = p(audio)["text"]
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blob = tb(mensaje_voz)
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MESSAGE = str(blob.translate(from_lang='es', to='en')) # Traduce el mensaje al inglés
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inputs = tokenizer(MESSAGE, return_tensors="pt") # Tokeniza el mensaje traducido
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reply_ids = model.generate(**inputs)
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response = tokenizer.batch_decode(reply_ids)[0] # Genera la respuesta (en inglés)
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blob_2 = tb(response)
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respuesta = str(blob_2.translate(from_lang='en', to='es'))[4:-5] # Traduce la respuesta al español
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return respuesta
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gr.Interface(
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fn=transcribe,
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inputs=[
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gr.Audio(source="microphone", type="filepath")
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],
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outputs=[
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"textbox",
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],
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live=True,).launch(share=True)
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