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| """ | |
| Copyright 2022 Balacoon | |
| TTS interactive demo | |
| """ | |
| import logging | |
| from typing import cast | |
| import gradio as gr | |
| from balacoon_tts import TTS | |
| from huggingface_hub import hf_hub_download, list_repo_files | |
| # global tts module, initialized from a model selected | |
| tts = None | |
| gr.api_name="textTOPepe" | |
| def main(): | |
| logging.basicConfig(level=logging.INFO) | |
| with gr.Blocks() as demo: | |
| gr.Markdown( | |
| """ | |
| <h1 align="center">Text-to-Speech</h1> | |
| 1. Write an utterance to generate, | |
| 2. Select the model to synthesize with | |
| 3. Select the speaker | |
| 4. Hit "Generate" and listen to the result! | |
| When you select a Model for the first time, | |
| it will take a little time to download it. | |
| """ | |
| ) | |
| gr.api_name="textTOPepe" | |
| with gr.Row(variant="panel"): | |
| text = gr.Textbox(label="Text", placeholder="Insert your article here...") | |
| with gr.Row(): | |
| with gr.Column(variant="panel"): | |
| repo_files = list_repo_files(repo_id="balacoon/tts") | |
| model_files = [x for x in repo_files if x.endswith("_cpu.addon")] | |
| model_name = gr.Dropdown( | |
| label="Model", | |
| choices=model_files, | |
| ) | |
| with gr.Column(variant="panel"): | |
| speaker = gr.Dropdown(label="Speaker", choices=[]) | |
| def set_model(model_name_str: str): | |
| """ | |
| gets value from `model_name`, loads model, | |
| re-initializes tts object, gets list of | |
| speakers that model supports and set them to `speaker` | |
| """ | |
| model_path = hf_hub_download( | |
| repo_id="balacoon/tts", filename=model_name_str | |
| ) | |
| global tts | |
| tts = TTS(model_path) | |
| speakers = tts.get_speakers() | |
| value = speakers[-1] | |
| return gr.Dropdown.update( | |
| choices=speakers, value=value, visible=True | |
| ) | |
| model_name.change(set_model, inputs=model_name, outputs=speaker) | |
| with gr.Row(variant="panel"): | |
| generate = gr.Button("Generate") | |
| with gr.Row(variant="panel"): | |
| audio = gr.Audio() | |
| def synthesize_audio(text_str: str, speaker_str: str = ""): | |
| """ | |
| gets utterance to synthesize from `text` Textbox | |
| and speaker name from `speaker` dropdown list. | |
| speaker name might be empty for single-speaker models. | |
| Synthesizes the waveform and updates `audio` with it. | |
| """ | |
| if not text_str: | |
| logging.info("text or speaker are not provided") | |
| return None | |
| global tts | |
| if len(text_str) > 10024: | |
| text_str = text_str[:10024] | |
| samples = cast(TTS, tts).synthesize(text_str, speaker_str) | |
| return gr.Audio.update(value=(cast(TTS, tts).get_sampling_rate(), samples)) | |
| generate.click(synthesize_audio, inputs=[text, speaker], outputs=audio) | |
| demo.api_name="textTOPepe" | |
| demo.launch() | |
| if __name__ == "__main__": | |
| main() | |