Update README.md

README.md

@@ -1,104 +1,104 @@
----
-license: other
-license_name: coqui-public-model-license
-license_link: https://coqui.ai/cpml
-library_name: coqui
-pipeline_tag: text-to-speech
-widget:
-  - text: "Once when I was six years old I saw a magnificent picture"
----
-
-# ⓍTTS_v2 - The San-Ti Fine-Tuned Model
-
-This repository hosts a fine-tuned version of the ⓍTTS model, utilizing 4 minutes of unique voice lines from The San-Ti, The voice lines were sourced from the clip of 3 Body Problem on Youtube, can be found here:
-[The San-Ti Explain how they Stop Science on Earth | 3 Body Problem | Netflix](https://www.youtube.com/watch?v=caxiX38DK68)
-
-![The San-Ti: Illustration](thesanti.jpg)
-
-Listen to a sample of the ⓍTTS_v2 - The San-Ti Fine-Tuned Model:
-
-<audio controls>
-  <source src="https://huggingface.co/kodoqmc/XTTS-v2_San-Ti/resolve/main/Generated.wav" type="audio/wav">
-  Your browser does not support the audio element.
-</audio>
-
-Here's a The San-Ti mp3 voice line clip from the training data:
-
-<audio controls>
-  <source src="https://huggingface.co/kodoqmc/XTTS-v2_San-Ti/resolve/main/reference.wav" type="audio/wav">
-  Your browser does not support the audio element.
-</audio>
-
-## Features
-- 🎙️ **Voice Cloning**: Realistic voice cloning with just a short audio clip.
-- 🌍 **Multi-Lingual Support**: Generates speech in 17 different languages while maintaining The San-Ti's voice.
-- 😃 **Emotion & Style Transfer**: Captures the emotional tone and style of the original voice.
-- 🔄 **Cross-Language Cloning**: Maintains the unique voice characteristics across different languages.
-- 🎧 **High-Quality Audio**: Outputs at a 24kHz sampling rate for clear and high-fidelity audio.
-
-## Supported Languages
-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).
-
-## Usage in Roll Cage
-🤖💬 Boost your AI experience with this Ollama add-on! Enjoy real-time audio 🎙️ and text 🔍 chats, LaTeX rendering 📜, agent automations ⚙️, workflows 🔄, text-to-image 📝➡️🖼️, image-to-text 🖼️➡️🔤, image-to-video 🖼️➡️🎥 transformations. Fine-tune text 📝, voice 🗣️, and image 🖼️ gens. Includes Windows macro controls 🖥️ and DuckDuckGo search.
-
-[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.
-
-## CoquiTTS and Resources
-- 🐸💬 **CoquiTTS**: [Coqui TTS on GitHub](https://github.com/coqui-ai/TTS)
-- 📚 **Documentation**: [ReadTheDocs](https://tts.readthedocs.io/en/latest/)
-- 👩‍💻 **Questions**: [GitHub Discussions](https://github.com/coqui-ai/TTS/discussions)
-- 🗯 **Community**: [Discord](https://discord.gg/5eXr5seRrv)
-
-## License
-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).
-
-## Contact
-Join our 🐸Community on [Discord](https://discord.gg/fBC58unbKE) and follow us on [Twitter](https://twitter.com/coqui_ai). For inquiries, email us at [email protected].
-
-Using 🐸TTS API:
-
-```python
-from TTS.api import TTS
-
-tts = TTS(model_path="D:/AI/ollama_agent_roll_cage/AgentFiles/Ignored_TTS/XTTS-v2_PeterDrury/", 
-          config_path="D:/AI/ollama_agent_roll_cage/AgentFiles/Ignored_TTS/XTTS-v2_PeterDrury/config.json", progress_bar=False, gpu=True).to(self.device)
-
-# generate speech by cloning a voice using default settings
-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.",
-                file_path="output.wav",
-                speaker_wav="/path/to/target/speaker.wav",
-                language="en")
-
-```
-
-Using 🐸TTS Command line:
-
-```console
- tts --model_name tts_models/multilingual/multi-dataset/xtts_v2 \
-     --text "Bugün okula gitmek istemiyorum." \
-     --speaker_wav /path/to/target/speaker.wav \
-     --language_idx tr \
-     --use_cuda true
-```
-
-Using the model directly:
-
-```python
-from TTS.tts.configs.xtts_config import XttsConfig
-from TTS.tts.models.xtts import Xtts
-
-config = XttsConfig()
-config.load_json("/path/to/xtts/config.json")
-model = Xtts.init_from_config(config)
-model.load_checkpoint(config, checkpoint_dir="/path/to/xtts/", eval=True)
-model.cuda()
-
-outputs = model.synthesize(
-    "It took me quite a long time to develop a voice and now that I have it I am not going to be silent.",
-    config,
-    speaker_wav="/data/TTS-public/_refclips/3.wav",
-    gpt_cond_len=3,
-    language="en",
-)
-```
+---
+license: other
+license_name: coqui-public-model-license
+license_link: https://coqui.ai/cpml
+library_name: coqui
+pipeline_tag: text-to-speech
+widget:
+  - text: "Once when I was six years old I saw a magnificent picture"
+---
+
+# ⓍTTS_v2 - The San-Ti Fine-Tuned Model
+
+This repository hosts a fine-tuned version of the ⓍTTS model, utilizing 4 minutes of unique voice lines from The San-Ti, The voice lines were sourced from the clip of 3 Body Problem on Youtube, can be found here:
+[The San-Ti Explain how they Stop Science on Earth | 3 Body Problem | Netflix](https://www.youtube.com/watch?v=caxiX38DK68)
+
+![The San-Ti: Illustration](thesanti.jpg)
+
+Listen to a sample of the ⓍTTS_v2 - The San-Ti Fine-Tuned Model:
+
+<audio controls>
+  <source src="https://huggingface.co/kodoqmc/XTTS-v2_San-Ti/resolve/main/generated.wav" type="audio/wav">
+  Your browser does not support the audio element.
+</audio>
+
+Here's a The San-Ti mp3 voice line clip from the training data:
+
+<audio controls>
+  <source src="https://huggingface.co/kodoqmc/XTTS-v2_San-Ti/resolve/main/reference.wav" type="audio/wav">
+  Your browser does not support the audio element.
+</audio>
+
+## Features
+- 🎙️ **Voice Cloning**: Realistic voice cloning with just a short audio clip.
+- 🌍 **Multi-Lingual Support**: Generates speech in 17 different languages while maintaining The San-Ti's voice.
+- 😃 **Emotion & Style Transfer**: Captures the emotional tone and style of the original voice.
+- 🔄 **Cross-Language Cloning**: Maintains the unique voice characteristics across different languages.
+- 🎧 **High-Quality Audio**: Outputs at a 24kHz sampling rate for clear and high-fidelity audio.
+
+## Supported Languages
+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).
+
+## Usage in Roll Cage
+🤖💬 Boost your AI experience with this Ollama add-on! Enjoy real-time audio 🎙️ and text 🔍 chats, LaTeX rendering 📜, agent automations ⚙️, workflows 🔄, text-to-image 📝➡️🖼️, image-to-text 🖼️➡️🔤, image-to-video 🖼️➡️🎥 transformations. Fine-tune text 📝, voice 🗣️, and image 🖼️ gens. Includes Windows macro controls 🖥️ and DuckDuckGo search.
+
+[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.
+
+## CoquiTTS and Resources
+- 🐸💬 **CoquiTTS**: [Coqui TTS on GitHub](https://github.com/coqui-ai/TTS)
+- 📚 **Documentation**: [ReadTheDocs](https://tts.readthedocs.io/en/latest/)
+- 👩‍💻 **Questions**: [GitHub Discussions](https://github.com/coqui-ai/TTS/discussions)
+- 🗯 **Community**: [Discord](https://discord.gg/5eXr5seRrv)
+
+## License
+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).
+
+## Contact
+Join our 🐸Community on [Discord](https://discord.gg/fBC58unbKE) and follow us on [Twitter](https://twitter.com/coqui_ai). For inquiries, email us at [email protected].
+
+Using 🐸TTS API:
+
+```python
+from TTS.api import TTS
+
+tts = TTS(model_path="D:/AI/ollama_agent_roll_cage/AgentFiles/Ignored_TTS/XTTS-v2_PeterDrury/", 
+          config_path="D:/AI/ollama_agent_roll_cage/AgentFiles/Ignored_TTS/XTTS-v2_PeterDrury/config.json", progress_bar=False, gpu=True).to(self.device)
+
+# generate speech by cloning a voice using default settings
+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.",
+                file_path="output.wav",
+                speaker_wav="/path/to/target/speaker.wav",
+                language="en")
+
+```
+
+Using 🐸TTS Command line:
+
+```console
+ tts --model_name tts_models/multilingual/multi-dataset/xtts_v2 \
+     --text "Bugün okula gitmek istemiyorum." \
+     --speaker_wav /path/to/target/speaker.wav \
+     --language_idx tr \
+     --use_cuda true
+```
+
+Using the model directly:
+
+```python
+from TTS.tts.configs.xtts_config import XttsConfig
+from TTS.tts.models.xtts import Xtts
+
+config = XttsConfig()
+config.load_json("/path/to/xtts/config.json")
+model = Xtts.init_from_config(config)
+model.load_checkpoint(config, checkpoint_dir="/path/to/xtts/", eval=True)
+model.cuda()
+
+outputs = model.synthesize(
+    "It took me quite a long time to develop a voice and now that I have it I am not going to be silent.",
+    config,
+    speaker_wav="/data/TTS-public/_refclips/3.wav",
+    gpt_cond_len=3,
+    language="en",
+)
+```