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import os |
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import json |
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import gradio as gr |
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models = [ |
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"https://github.com/AI4Bharat/Indic-TTS/releases/download/v1-checkpoints-release/hi.zip", |
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"https://github.com/AI4Bharat/Indic-TTS/releases/download/v1-checkpoints-release/bn.zip", |
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"https://github.com/AI4Bharat/Indic-TTS/releases/download/v1-checkpoints-release/as.zip", |
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"https://github.com/AI4Bharat/Indic-TTS/releases/download/v1-checkpoints-release/brx.zip", |
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"https://github.com/AI4Bharat/Indic-TTS/releases/download/v1-checkpoints-release/gu.zip", |
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"https://github.com/AI4Bharat/Indic-TTS/releases/download/v1-checkpoints-release/kn.zip", |
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"https://github.com/AI4Bharat/Indic-TTS/releases/download/v1-checkpoints-release/ml.zip", |
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"https://github.com/AI4Bharat/Indic-TTS/releases/download/v1-checkpoints-release/mni.zip", |
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"https://github.com/AI4Bharat/Indic-TTS/releases/download/v1-checkpoints-release/mr.zip", |
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"https://github.com/AI4Bharat/Indic-TTS/releases/download/v1-checkpoints-release/or.zip", |
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"https://github.com/AI4Bharat/Indic-TTS/releases/download/v1-checkpoints-release/pa.zip", |
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"https://github.com/AI4Bharat/Indic-TTS/releases/download/v1-checkpoints-release/raj.zip", |
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"https://github.com/AI4Bharat/Indic-TTS/releases/download/v1-checkpoints-release/ta.zip", |
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"https://github.com/AI4Bharat/Indic-TTS/releases/download/v1-checkpoints-release/te.zip" |
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] |
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languages = { |
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"Assamese": "as", |
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"Bengali": "bn", |
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"Bodo": "brx", |
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"Gujarati": "gu", |
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"Hindi" : "hi", |
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"Kannada": "kn", |
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"Manipuri": "mni", |
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"Malayalam": "ml", |
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"Marathi": "mr", |
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"Odia": "or", |
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"Punjabi": "pa", |
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"Rajasthani": "raj", |
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"Tamil": "ta", |
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"Telugu": "te" |
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} |
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for model in models: |
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os.system(f"wget {model}") |
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os.system(f"unzip {model.split('/')[-1]}") |
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os.system(f"rm -fr {model.split('/')[-1]}") |
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lang = model.split('/')[-1].split('.')[0] |
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with open(f"{lang}/fastpitch/config.json", "r") as f: |
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config = json.load(f) |
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config["speakers_file"] = '/'.join(config["speakers_file"].split("/")[-3:]) |
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config["model_args"]["speakers_file"] = config["speakers_file"] |
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with open(f"{lang}/fastpitch/config.json", "w") as f: |
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json.dump(config, f) |
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def convert(text, language, out = "out.wav"): |
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m = languages[language] |
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os.system(f'python3 -m TTS.bin.synthesize --text "{text}" --model_path {m}/fastpitch/best_model.pth --config_path {m}/fastpitch/config.json --vocoder_path {m}/hifigan/best_model.pth --vocoder_config_path {m}/hifigan/config.json --speaker_idx "male" --out_path male_{out}') |
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os.system(f'python3 -m TTS.bin.synthesize --text "{text}" --model_path {m}/fastpitch/best_model.pth --config_path {m}/fastpitch/config.json --vocoder_path {m}/hifigan/best_model.pth --vocoder_config_path {m}/hifigan/config.json --speaker_idx "female" --out_path female_{out}') |
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return f"male_{out}", f"female_{out}" |
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text = gr.Textbox(value = "यह कल का दिन अद्भुत था क्योंकि हम संगीत कार्यक्रम से वापस आ गए हैं।", |
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placeholder = "Enter a text to synthesize", |
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label = "Text") |
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language = gr.Dropdown(choices = sorted(languages.keys()), |
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value = "Hindi", |
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type = "value", |
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label = "Language") |
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inputs = [text, language] |
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outputs = [ |
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gr.outputs.Audio(label = "Male Speaker", type = 'filepath'), |
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gr.outputs.Audio(label = "Female Speaker", type = 'filepath'), |
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] |
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title = "Indic Languages Speech Synthesis" |
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gr.Interface(convert, inputs, outputs, title=title, enable_queue=True).launch() |
