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Browse files- app.py +35 -4
- requirements.txt +3 -1
app.py
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import gradio as gr
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import gradio as gr
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import random
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from gtts import gTTS
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import base64
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from io import BytesIO
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from transformers import pipeline
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#https://huggingface.co/facebook/opt-1.3b
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generator = pipeline('text-generation', model="facebook/opt-1.3b")
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def create_audio(input_str):
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output_raw= generator(input_str)
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"""print (output_raw)"""
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output_str = output_raw[0]['generated_text']
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output_str = output_str.replace("\n", "")
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output_str = output_str.replace(input_str, "")
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# Convert the sentence to speech using gTTS
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tts = gTTS(text=output_str, lang="en")
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# Save the speech as a bytestring in memory
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tts_io = BytesIO()
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tts.write_to_fp(tts_io)
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tts_io.seek(0)
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tts_data = tts_io.read()
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# Encode the speech data in base64
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tts_base64 = base64.b64encode(tts_data).decode("utf-8")
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# Return the html code to play the audio
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html = f"<audio src='data:audio/mpeg;base64,{tts_base64}' controls autoplay></audio>"
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return (output_raw, html)
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demo = gr.Interface(
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fn=create_audio,
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inputs="text",
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outputs=["text","html"],
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title="Random Audio Sentence Generator",
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description="This interface generates a random audio sentence and plays it as a html output."
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)
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demo.launch()
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requirements.txt
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gradio
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gradio
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transformers
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gTTS
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