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---
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license: other
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license_name: coqui-public-model-license
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license_link: https://coqui.ai/cpml
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library_name: coqui
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pipeline_tag: text-to-speech
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widget:
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- text: "Once when I was six years old I saw a magnificent picture"
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---
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# โTTS_v2 - C-3PO Fine-Tuned Model
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<audio
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##
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```
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---
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license: other
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license_name: coqui-public-model-license
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license_link: https://coqui.ai/cpml
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library_name: coqui
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pipeline_tag: text-to-speech
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widget:
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- text: "Once when I was six years old I saw a magnificent picture"
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---
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# โTTS_v2 - C-3PO Fine-Tuned Voice Model (Borcherding/XTTS-v2_C3PO)
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Artistic Whimsy and Galactic Musings
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The โTTS (Satirical Text-to-Speech) model, residing within the Borcherding/XTTS-v2_C3PO repository, transcends mere technology. It becomes an art pieceโan interplay of code, creativity, and humor. Imagine a digital gallery where visitors encounter C-3POโs satirical musings echoing through the virtual halls.
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Key Features
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C-3POโs Quirky Voice: Leveraging 20 unique voice lines sourced from Voicy, the โTTS model captures the essence of C-3POโs distinctive speech patterns. Expect a delightful blend of protocol droid formality, unexpected commentary, and occasional existential musings.
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Satirical Tone: Rather than adhering to a neutral or serious tone, the โTTS model revels in satire. It playfully exaggerates intonation, injects humorous pauses, and occasionally breaks the fourth wall. Each voice line becomes a brushstroke on the canvas of imagination.
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This repository hosts a fine-tuned version of the โTTS model, utilizing 20 unique voice lines from C-3PO, the iconic Star Wars character. The voice lines were sourced from [Voicy](https://www.voicy.network/official-soundboards/movies/c3po).
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![C-3PO](c3po_1.png)
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Listen to a sample of the โTTS_v2 - C-3PO Fine-Tuned Model:
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<audio controls>
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<source src="https://huggingface.co/Borcherding/XTTS-v2_C3PO/raw/main/sample_c3po_generated.wav" type="audio/wav">
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Your browser does not support the audio element.
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</audio>
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Here's a C-3PO mp3 voice line clip from the training data:
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<audio controls>
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<source src="https://huggingface.co/Borcherding/XTTS-v2_C3PO/raw/main/reference2.mp3" type="audio/wav">
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Your browser does not support the audio element.
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</audio>
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## Features
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- ๐๏ธ **Voice Cloning**: Realistic voice cloning with just a short audio clip.
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- ๐ **Multi-Lingual Support**: Generates speech in 17 different languages while maintaining C-3PO's distinct voice.
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- ๐ **Emotion & Style Transfer**: Captures the emotional tone and style of the original voice.
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- ๐ **Cross-Language Cloning**: Maintains the unique voice characteristics across different languages.
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- ๐ง **High-Quality Audio**: Outputs at a 24kHz sampling rate for clear and high-fidelity audio.
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## Supported Languages
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The model supports the following 17 languages: English (en), Spanish (es), French (fr), German (de), Italian (it), Portuguese (pt), Polish (pl), Turkish (tr), Russian (ru), Dutch (nl), Czech (cs), Arabic (ar), Chinese (zh-cn), Japanese (ja), Hungarian (hu), Korean (ko), and Hindi (hi).
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## Usage in Roll Cage
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๐ค๐ฌ Boost your AI experience with this Ollama add-on! Enjoy real-time audio ๐๏ธ and text ๐ chats, LaTeX rendering ๐, agent automations โ๏ธ, workflows ๐, text-to-image ๐โก๏ธ๐ผ๏ธ, image-to-text ๐ผ๏ธโก๏ธ๐ค, image-to-video ๐ผ๏ธโก๏ธ๐ฅ transformations. Fine-tune text ๐, voice ๐ฃ๏ธ, and image ๐ผ๏ธ gens. Includes Windows macro controls ๐ฅ๏ธ and DuckDuckGo search.
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[ollama_agent_roll_cage (OARC)](https://github.com/Leoleojames1/ollama_agent_roll_cage) is a completely local Python & CMD toolset add-on for the Ollama command line interface. The OARC toolset automates the creation of agents, giving the user more control over the likely output. It provides SYSTEM prompt templates for each ./Modelfile, allowing users to design and deploy custom agents quickly. Users can select which local model file is used in agent construction with the desired system prompt.
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## Why This Model for Roll Cage?
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The C-3PO fine-tuned model was designed for the Roll Cage chatbot to enhance user interaction with a familiar and beloved voice. By incorporating C-3PO's distinctive speech patterns and tone, Roll Cage becomes more engaging and entertaining. The addition of multi-lingual support and emotion transfer ensures that the chatbot can communicate effectively and expressively across different languages and contexts, providing a more immersive experience for users.
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## CoquiTTS and Resources
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- ๐ธ๐ฌ **CoquiTTS**: [Coqui TTS on GitHub](https://github.com/coqui-ai/TTS)
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- ๐ **Documentation**: [ReadTheDocs](https://tts.readthedocs.io/en/latest/)
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- ๐ฉโ๐ป **Questions**: [GitHub Discussions](https://github.com/coqui-ai/TTS/discussions)
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- ๐ฏ **Community**: [Discord](https://discord.gg/5eXr5seRrv)
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## License
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This model is licensed under the [Coqui Public Model License](https://coqui.ai/cpml). Read more about the origin story of CPML [here](https://coqui.ai/blog/tts/cpml).
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## Contact
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Join our ๐ธCommunity on [Discord](https://discord.gg/fBC58unbKE) and follow us on [Twitter](https://twitter.com/coqui_ai). For inquiries, email us at [email protected].
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Using ๐ธTTS API:
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```python
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from TTS.api import TTS
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tts = TTS(model_path="D:/CodingGit_StorageHDD/Ollama_Custom_Mods/ollama_agent_roll_cage/AgentFiles/Ignored_TTS/XTTS-v2_C3PO/",
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config_path="D:/CodingGit_StorageHDD/Ollama_Custom_Mods/ollama_agent_roll_cage/AgentFiles/Ignored_TTS/XTTS-v2_C3PO/config.json", progress_bar=False, gpu=True).to(self.device)
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# generate speech by cloning a voice using default settings
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tts.tts_to_file(text="It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.",
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file_path="output.wav",
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speaker_wav="/path/to/target/speaker.wav",
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language="en")
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```
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Using ๐ธTTS Command line:
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```console
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tts --model_name tts_models/multilingual/multi-dataset/xtts_v2 \
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--text "Bugรผn okula gitmek istemiyorum." \
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--speaker_wav /path/to/target/speaker.wav \
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--language_idx tr \
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--use_cuda true
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```
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Using the model directly:
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```python
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from TTS.tts.configs.xtts_config import XttsConfig
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from TTS.tts.models.xtts import Xtts
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config = XttsConfig()
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config.load_json("/path/to/xtts/config.json")
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model = Xtts.init_from_config(config)
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model.load_checkpoint(config, checkpoint_dir="/path/to/xtts/", eval=True)
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model.cuda()
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outputs = model.synthesize(
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"It took me quite a long time to develop a voice and now that I have it I am not going to be silent.",
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config,
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speaker_wav="/data/TTS-public/_refclips/3.wav",
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gpt_cond_len=3,
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language="en",
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)
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```
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