### Install Project Dependencies

Source: https://github.com/fireredteam/fireredtts2/blob/main/README.md

Installs the project's dependencies, including editable installs and requirements from a file.

```sh
pip install -e .
pip install -r requirements.txt
```

--------------------------------

### Clone and Install FireRedTTS2 Repository

Source: https://github.com/fireredteam/fireredtts2/blob/main/README.md

Steps to clone the FireRedTTS2 repository from GitHub and navigate into the project directory.

```sh
git clone https://github.com/FireRedTeam/FireRedTTS2.git
cd FireRedTTS2
```

--------------------------------

### Install PyTorch with CUDA Support

Source: https://github.com/fireredteam/fireredtts2/blob/main/README.md

Installs PyTorch, Torchvision, and Torchaudio with CUDA 12.6 support, essential for GPU acceleration.

```sh
pip install torch==2.7.1 torchvision==0.22.1 torchaudio==2.7.1 --index-url https://download.pytorch.org/whl/cu126
```

--------------------------------

### Run Gradio Web UI for FireredTTS2

Source: https://github.com/fireredteam/fireredtts2/blob/main/README.md

Launches the web-based user interface for FireredTTS2, allowing for voice cloning and randomized voice generation. Requires the pretrained models directory.

```sh
python gradio_demo.py --pretrained-dir "./pretrained_models/FireRedTTS2"
```

--------------------------------

### Clone Pre-trained Models from Hugging Face

Source: https://github.com/fireredteam/fireredtts2/blob/main/README.md

Downloads the pre-trained models for FireRedTTS2 from Hugging Face using Git LFS.

```sh
git lfs install
git clone https://huggingface.co/FireRedTeam/FireRedTTS2 pretrained_models/FireRedTTS2
```

--------------------------------

### Create and Activate Conda Environment

Source: https://github.com/fireredteam/fireredtts2/blob/main/README.md

Instructions for creating a new Conda environment for the project and activating it.

```sh
conda create --name fireredtts2 python==3.11
conda activate fireredtts2
```

--------------------------------

### Generate Dialogue with FireredTTS2 (Python)

Source: https://github.com/fireredteam/fireredtts2/blob/main/README.md

Generates multi-turn dialogue using FireredTTS2. It takes lists of text, prompt audio paths, and prompt texts to create a coherent conversation. The output is saved as a WAV file.

```python
import os
import sys
import torch
import torchaudio
from fireredtts2.fireredtts2 import FireRedTTS2

device = "cuda"

fireredtts2 = FireRedTTS2(
    pretrained_dir="./pretrained_models/FireRedTTS2",
    gen_type="dialogue",
    device=device,
)

text_list = [
    "[S1]那可能说对对，没有去过美国来说去去看到美国线下。巴斯曼也好，沃尔玛也好，他们线下不管说，因为深圳出去的还是电子周边的会表达，会发现哇对这个价格真的是很高呀。都是卖三十五美金、四十美金，甚至一个手机壳，就是二十五美金开。",
    "[S2]对，没错，我每次都觉得不不可思议。我什么人会买三五十美金的手机壳？但是其实在在那个target啊，就塔吉特这种超级市场，大家都是这样的，定价也很多人买。",
    "[S1]对对，那这样我们再去看说亚马逊上面卖卖卖手机壳也好啊，贴膜也好，还包括说车窗也好，各种线材也好，大概就是七块九九或者说啊八块九九，这个价格才是卖的最多的啊。因为亚马逊的游戏规则限定的。如果说你卖七块九九以下，那你基本上是不赚钱的。",
    "[S2]那比如说呃除了这个可能去到海外这个调查，然后这个调研考察那肯定是最直接的了。那平时我知道你是刚才建立了一个这个叫做呃rean的这样的一个一个播客，它是一个英文的。然后平时你还听一些什么样的东西，或者是从哪里获取一些这个海外市场的一些信息呢？",
    "[S1]嗯，因为做做亚马逊的话呢，我们会关注很多行业内的东西。就比如说行业有什么样亚马逊有什么样新的游戏规则呀。呃，物流的价格有没有波动呀，包括说有没有什么新的评论的政策呀，广告有什么新的打法呀？那这些我们会会关关注很多行业内部的微信公众号呀，还包括去去查一些知乎专栏的文章呀，以及说我们周边有很多同行。那我们经常会坐在一起聊天，看看信息有什么共享。那这个是关注内内的一个方式。",
]
prompt_wav_list = [
    "examples/chat_prompt/zh/S1.flac",
    "examples/chat_prompt/zh/S2.flac",
]

prompt_text_list = [
    "[S1]啊，可能说更适合美国市场应该是什么样子。那这这个可能说当然如果说有有机会能亲身的去考察去了解一下，那当然是有更好的帮助。",
    "[S2]比如具体一点的，他觉得最大的一个跟他预想的不一样的是在什么地方。",
]

all_audio = fireredtts2.generate_dialogue(
    text_list=text_list,
    prompt_wav_list=prompt_wav_list,
    prompt_text_list=prompt_text_list,
    temperature=0.9,
    topk=30,
)
torchaudio.save("chat_clone.wav", all_audio, 24000)

```

--------------------------------

### Generate Monologue with FireredTTS2 (Python)

Source: https://github.com/fireredteam/fireredtts2/blob/main/README.md

Generates monologues using FireredTTS2, supporting multiple languages and allowing for random speaker selection or voice cloning. The output audio for each text segment is saved as a separate WAV file.

```python
import os
import sys
import torch
import torchaudio
from fireredtts2.fireredtts2 import FireRedTTS2

device = "cuda"
lines = [
    "Hello everyone, welcome to our newly launched FireRedTTS2. It supports multiple languages including English, Chinese, Japanese, Korean, French, German, and Russian. Additionally, this TTS model features long-context dialogue generation capabilities.",
    "如果你厌倦了千篇一律的AI音色，不满意于其他模型语言支持不够丰富，那么本项目将会成为你绝佳的工具。",
    "ランダムな話者と言語を選択して合成できます",
    "이는 많은 인공지능 시스템에 유용합니다. 예를 들어, 제가 다양한 음성 데이터를 대량으로 생성해 여러분의 ASR 모델이나 대화 모델에 풍부한 데이터를 제공할 수 있습니다.",
    "J'évolue constamment et j'espère pouvoir parler davantage de langues avec plus d'aisance à l'avenir.",
]

fireredtts2 = FireRedTTS2(
    pretrained_dir="./pretrained_models/FireRedTTS2",
    gen_type="monologue",
    device=device,
)

# random speaker
for i in range(len(lines)):
    text = lines[i].strip()
    audio = fireredtts2.generate_monologue(text=text)
    # adjust temperature & topk
    # audio = fireredtts2.generate_monologue(text=text, temperature=0.8, topk=30)
    torchaudio.save(str(i) + ".wav", audio.cpu(), 24000)


# # voice clone
# for i in range(len(lines)):
#     text = lines[i].strip()

#     audio = fireredtts2.generate_monologue(
#         text=text,
#         prompt_wav=<prompt_wav_path>,
#         prompt_text=<prompt_wav_text>,
#     )
#     torchaudio.save(str(i) + ".wav", audio.cpu(), 24000)

```

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