Delete app.py

app.py

@@ -1,182 +0,0 @@
-import tempfile
-from typing import Optional
-from TTS.config import load_config
-import gradio as gr
-import numpy as np
-from TTS.utils.manage import ModelManager
-from TTS.utils.synthesizer import Synthesizer
-
-# Classe estendida para confirmar automaticamente os termos de uso
-class CustomModelManager(ModelManager):
-    def ask_tos(self, output_path):
-        print("This sentence has been generated by a speech synthesis system. tts_models/multilingual/multi-dataset/xtts_v1.1")
-        print(" > You must confirm the following:")
-        print(' | > "I have purchased a commercial license from Coqui: licensing@coqui.ai"')
-        print(' | > "Otherwise, I agree to the terms of the non-commercial CPML: https://coqui.ai/cpml" - [y/n]')
-        answer = 'y'  # Automaticamente aceita os termos
-        return answer.lower() == 'y'
-
-# Substituir o gerenciador padrão pelo personalizado
-manager = CustomModelManager()
-MODELS = {}
-SPEAKERS = {}
-MAX_TXT_LEN = 100
-
-MODEL_NAMES = manager.list_tts_models()
-
-# filter out multi-speaker models and slow wavegrad vocoders
-filters = ["vctk", "your_tts", "ek1"]
-MODEL_NAMES = [model_name for model_name in MODEL_NAMES if not any(f in model_name for f in filters)]
-
-EN = [el for el in MODEL_NAMES if "/en/" in el]
-OTHER = [el for el in MODEL_NAMES if "/en/" not in el]
-EN[0], EN[5] = EN[5], EN[0]
-MODEL_NAMES = EN + OTHER
-
-# reorder models
-print(MODEL_NAMES)
-
-
-def tts(text: str, model_name: str):
-    if len(text) > MAX_TXT_LEN:
-        text = text[:MAX_TXT_LEN]
-        print(f"Input text was cutoff since it went over the {MAX_TXT_LEN} character limit.")
-    print(text, model_name)
-    # download model
-    model_path, config_path, model_item = manager.download_model(model_name)
-    print(f"Model path: {model_path}")
-    print(f"Config path: {config_path}")
-    print(f"Model item: {model_item}")
-    
-    vocoder_name: Optional[str] = model_item["default_vocoder"]
-    # download vocoder
-    vocoder_path = None
-    vocoder_config_path = None
-    if vocoder_name is not None:
-        vocoder_path, vocoder_config_path, _ = manager.download_model(vocoder_name)
-    # init synthesizer
-    if model_path is None or config_path is None:
-        raise ValueError("Model path or config path is None")
-    
-    synthesizer = Synthesizer(
-        model_path, config_path, None, None, vocoder_path, vocoder_config_path,
-    )
-    # synthesize
-    if synthesizer is None:
-        raise NameError("model not found")
-    wavs = synthesizer.tts(text, None)
-    # return output
-    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
-        synthesizer.save_wav(wavs, fp)
-        return fp.name
-
-
-title = """<h1 align="center">🐸💬 CoquiTTS Playground </h1>"""
-
-with gr.Blocks(analytics_enabled=False) as demo:
-    with gr.Row():
-        with gr.Column():
-            gr.Markdown(
-                """
-                ## <img src="https://raw.githubusercontent.com/coqui-ai/TTS/main/images/coqui-log-green-TTS.png" height="56"/>
-                """
-            )
-            gr.Markdown(
-                """
-                <br />
-
-                ## 🐸Coqui.ai News
-                - 📣 ⓍTTS, our production TTS model that can speak 13 languages, is released [Blog Post](https://coqui.ai/blog/tts/open_xtts), [Demo](https://huggingface.co/spaces/coqui/xtts), [Docs](https://tts.readthedocs.io/en/dev/models/xtts.html)
-                - 📣 [🐶Bark](https://github.com/suno-ai/bark) is now available for inference with unconstrained voice cloning. [Docs](https://tts.readthedocs.io/en/dev/models/bark.html)
-                - 📣 You can use [~1100 Fairseq models](https://github.com/facebookresearch/fairseq/tree/main/examples/mms) with 🐸TTS.
-                - 📣 🐸TTS now supports 🐢Tortoise with faster inference. [Docs](https://tts.readthedocs.io/en/dev/models/tortoise.html)
-                - 📣 **Coqui Studio API** is landed on 🐸TTS. - [Example](https://github.com/coqui-ai/TTS/blob/dev/README.md#-python-api)
-                - 📣 [**Coqui Studio API**](https://docs.coqui.ai/docs) is live.
-                - 📣 Voice generation with prompts - **Prompt to Voice** - is live on [**Coqui Studio**](https://app.coqui.ai/auth/signin)!! - [Blog Post](https://coqui.ai/blog/tts/prompt-to-voice)
-                - 📣 Voice generation with fusion - **Voice fusion** - is live on [**Coqui Studio**](https://app.coqui.ai/auth/signin).
-                - 📣 Voice cloning is live on [**Coqui Studio**](https://app.coqui.ai/auth/signin).
-                <br>
-
-                """
-                )
-        with gr.Column():
-            gr.Markdown(
-            """
-            <br/>
-
-            💻 This space showcases some of the **[CoquiTTS](https://github.com/coqui-ai/TTS)** models.
-
-            <br/>
-
-            There are > 30 languages with single and multi speaker models, all thanks to our 👑 Contributors.
-
-            <br/>
-
-            Visit the links below for more.
-
-            |                                 |                                         |
-            | ------------------------------- | --------------------------------------- |
-            | 🐸💬 **CoquiTTS**                |  [Github](https://github.com/coqui-ai/TTS) |
-            | 💼 **Documentation**            | [ReadTheDocs](https://tts.readthedocs.io/en/latest/)
-            | 👩‍💻 **Questions**                | [GitHub Discussions] |
-            | 🗯 **Community**         | [![Dicord](https://img.shields.io/discord/1037326658807533628?color=%239B59B6&label=chat%20on%20discord)](https://discord.gg/5eXr5seRrv)  |
-
-            [github issue tracker]: https://github.com/coqui-ai/tts/issues
-            [github discussions]: https://github.com/coqui-ai/TTS/discussions
-            [discord]: https://discord.gg/5eXr5seRrv
-
-
-            """
-            )
-
-    with gr.Row():
-        gr.Markdown(
-            """
-            <details>
-            <summary>👑 Model contributors</summary>
-
-            - <a href="https://github.com/nmstoker/" target="_blank">@nmstoker</a>
-            - <a href="https://github.com/kaiidams/" target="_blank">@kaiidams</a>
-            - <a href="https://github.com/WeberJulian/" target="_blank">@WeberJulian,</a>
-            - <a href="https://github.com/Edresson/" target="_blank">@Edresson</a>
-            - <a href="https://github.com/thorstenMueller/" target="_blank">@thorstenMueller</a>
-            - <a href="https://github.com/r-dh/" target="_blank">@r-dh</a>
-            - <a href="https://github.com/kirianguiller/" target="_blank">@kirianguiller</a>
-            - <a href="https://github.com/robinhad/" target="_blank">@robinhad</a>
-            - <a href="https://github.com/fkarabiber/" target="_blank">@fkarabiber</a>
-            - <a href="https://github.com/nicolalandro/" target="_blank">@nicolalandro</a>
-            - <a href="https://github.com/a-froghyar" target="_blank">@a-froghyar</a>
-            - <a href="https://github.com/manmay-nakhashi" target="_blank">@manmay-nakhashi</a>
-            - <a href="https://github.com/noml4u" target="_blank">@noml4u</a>
-            </details>
-
-            <br/>
-            """
-        )
-
-    with gr.Row():
-        with gr.Column():
-            input_text = gr.inputs.Textbox(
-                label="Input Text",
-                default="This sentence has been generated by a speech synthesis system.",
-            )
-            model_select = gr.inputs.Dropdown(
-                label="Pick Model: tts_models/<language>/<dataset>/<model_name>",
-                choices=MODEL_NAMES,
-                default="tts_models/en/jenny/jenny"
-            )
-            tts_button = gr.Button("Send", elem_id="send-btn", visible=True)
-
-        with gr.Column():
-            output_audio = gr.outputs.Audio(label="Output", type="filepath")
-
-    tts_button.click(
-        tts,
-        inputs=[
-            input_text,
-            model_select,
-        ],
-        outputs=[output_audio],
-    )
-
-demo.queue(concurrency_count=16).launch(debug=True)