| import os | |
| import gradio as gr | |
| models = [ | |
| "https://github.com/AI4Bharat/Indic-TTS/releases/download/v1-checkpoints-release/hi.zip", | |
| "https://github.com/AI4Bharat/Indic-TTS/releases/download/v1-checkpoints-release/bn.zip" | |
| ] | |
| for model in models: | |
| os.system(f"wget {model}") | |
| os.system(f"unzip {model.split('/')[-1]}") | |
| os.system(f"rm -fr {{model.split('/')[-1]}}") | |
| def convert(text, language, out = "out.wav"): | |
| if language == "Hindi": | |
| m = "hi" | |
| else: | |
| m = "bn" | |
| 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 {out}') | |
| return out | |
| text = gr.Textbox(value = "यह कल का दिन अद्भुत था क्योंकि हम संगीत कार्यक्रम से वापस आ गए हैं।", | |
| placeholder = "Enter a text to synthesize", | |
| label = "Text") | |
| language = gr.Dropdown(choices = ["Hindi", "Bangla"], | |
| value = "Hindi", | |
| type = "value", | |
| label = "Language") | |
| inputs = [text, language] | |
| outputs = gr.outputs.Audio(label = "Output Audio", type = 'filepath') | |
| title = "Indic Languages Speech Synthesis" | |
| gr.Interface(convert, inputs, outputs, title=title, enable_queue=True).launch() |