# F5-TTS Model Inference Guide

Welcome! This guide will walk you through the steps to load and run the **F5-TTS** model for text-to-speech synthesis using reference audio and text inputs.

---

### Did You Know?
*Text-to-speech models like F5-TTS can mimic voice characteristics by analyzing just a few seconds of audio input. This adaptability is paving the way for personalized, AI-driven audio content.*

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## Steps to Run the F5-TTS Model

### 1. Clone the Repository
Start by cloning the F5-TTS repository to your local environment:

```bash
git clone https://github.com/SWivid/F5-TTS.git
cd F5-TTS
```

### 2. Download the model weights 
#### copy the download link of the model file and download using wget

```bash
wget https://hf.rst.im/ModelsLab/F5-tts-brazilian/resolve/main/Brazilian_Portuguese/model_2600000.pt -P ckpts/
```

### 3. Install CUDA 

#### Install an appropriate CUDA version compatible with your PyTorch and TorchAudio versions to enable GPU support. 
```bash
pip install torch==2.3.0+cu118 --extra-index-url https://download.pytorch.org/whl/cu118
pip install torchaudio==2.3.0+cu118 --extra-index-url https://download.pytorch.org/whl/cu118
```

### 4. Install Required Python Packages
Install the required dependencies specified in the requirements.txt file to set up your environment:

```bash
pip install -r requirements.txt
```

### 5. System Setup: APT Update, FFmpeg, and CUDA
Before running inference, ensure your system has the necessary dependencies:

Update APT Packages and Install FFmpeg

FFmpeg is essential for audio processing tasks. Update your APT packages and install ffmpeg with the following commands:

```bash
apt update
apt install -y ffmpeg
```


### 6. Run Inference with the F5-TTS Model
With the environment ready, you can now run the inference script. Adjust the paths as needed:

```bash 
python inference-cli.py \
  
  # Specify the model name to use for inference
  --model "F5-TTS" \
  
  # Path to the model checkpoint file, which contains the saved model weights
  --ckpt_file "path/to/model.pt" \
  
  # Path to the reference audio file. This file is used to capture the speaking style
  # and voice characteristics, which the model will try to mimic.
  --ref_audio "wavs/sample_audio.wav" \
  
  # Reference text associated with the reference audio file.
  # This helps the model understand the speaking style.
  --ref_text "levantara a mão contra ele e o oficial então arrancara da espada e atravessara o de lado a lado estava direito ah" \
  
  # Text that the model will generate speech for. This will be spoken in the style
  # derived from the reference audio and text.
  --gen_text "O Brasil, oficialmente República Federativa do Brasil, é o maior país da América do Sul e da América Latina."
```