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Update app.py
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app.py
CHANGED
@@ -33,18 +33,18 @@ pipe = pipeline("automatic-speech-recognition",
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# Load the model checkpoint and tokenizer
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#model = VitsModel.from_pretrained("Matthijs/mms-tts-
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#tokenizer = VitsTokenizer.from_pretrained("Matthijs/mms-tts-
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model2 = VitsModel.from_pretrained("facebook/mms-tts-
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tokenizer = VitsTokenizer.from_pretrained("facebook/mms-tts-
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# Define a function to translate an audio, in english here
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def translate(audio):
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return inference(audio)
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# Define function to generate the waveform output
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@@ -70,7 +70,7 @@ def predict(transType, language, audio, audio_mic = None):
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print("debug1:", audio,"debug2", audio_mic)
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if not audio and audio_mic:
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audio = audio_mic
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if transType == "Text":
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return translate(audio), None
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if transType == "Audio":
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@@ -95,7 +95,8 @@ demo = gr.Interface(
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inputs=[
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gr.Radio(label="Choose your output format", choices=transTypes),
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gr.Radio(label="Choose a source language", choices=supportLangs, value="Swedish"),
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gr.Audio(label="Import an audio", sources="upload", type="filepath"),
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gr.Audio(label="Record an audio", sources="microphone", type="filepath"),
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],
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outputs=[
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)
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# Load the model checkpoint and tokenizer
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#model = VitsModel.from_pretrained("Matthijs/mms-tts-eng")
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#tokenizer = VitsTokenizer.from_pretrained("Matthijs/mms-tts-eng")
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model2 = VitsModel.from_pretrained("facebook/mms-tts-eng")
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tokenizer = VitsTokenizer.from_pretrained("facebook/mms-tts-eng")
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# Define a function to translate an audio, in english here
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def translate(audio):
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# return inference(audio)
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outputs = pipe(audio, max_new_tokens=256,
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generate_kwargs={"task": "translate", "language": "swedish"})
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return outputs["text"]
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# Define function to generate the waveform output
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print("debug1:", audio,"debug2", audio_mic)
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if not audio and audio_mic:
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audio = audio_mic
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audio = audio[1]
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if transType == "Text":
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return translate(audio), None
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if transType == "Audio":
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inputs=[
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gr.Radio(label="Choose your output format", choices=transTypes),
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gr.Radio(label="Choose a source language", choices=supportLangs, value="Swedish"),
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#gr.Audio(label="Import an audio", sources="upload", type="filepath"),
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gr.Audio(label="Import an audio", sources="upload", type="numpy"),
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gr.Audio(label="Record an audio", sources="microphone", type="filepath"),
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],
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outputs=[
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