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# FWAL WebUI (Faster Whisper And LLM WebUI) by swrneko
<div align="center">
<img src="https://count.getloli.com/get/@swrneko-faster-whisper-llm?theme=rule34"/>
</div>
## Screenshots
<div align="center">
<div>
<img src="src/1.png" style="object-fit: cover;"/>
</div>
<div style="align-items: center;">
<img src="src/2.png" style="width: 49.7%; object-fit: cover;"/>
<img src="src/3.png" style="width: 49.7%; object-fit: cover;"/>
</div>
</div>
## Requirements
- python-conda or miniconda;
- python 3.10 or above;
- linux (windows not tested but probably working);
Python requirements are listed in `requirements.txt`.
## Installation
1. Clone repository:
```
git clone https://github.com/swrneko/faster-whisper-n-ionet-llm.git
cd faster-whisper-n-ionet-llm
```
also (if not insatlled)
- Insatll conda:
```
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh && bash miniconda.sh
```
2. Create virtual env:
```
conda create -n faster-whisper-n-ionet-llm python=3.10
conda activate faster-whisper-n-ionet-llm
conda install nvidia::cudnn cuda-version=12
```
3. Install requirements:
```
pip install -r requirements.txt
```
4. Get api key from [io.net](https://ai.io.net/ai/api-keys) and insert into `.env` file (need to create it in root of repository directory).
It should looks like this:
```
API_KEY='your_api_key_without_qoutes'
```
5. Done! Now you can just run it like that:
```shell
python app.py
```
# FWAL WebUI (Faster Whisper And LLM WebUI) by swrneko
<div align="center">
<img src="https://count.getloli.com/get/@swrneko-faster-whisper-llm?theme=rule34"/>
</div>
## Screenshots
<div align="center">
<div>
<img src="src/1.png" style="object-fit: cover;"/>
</div>
<div style="align-items: center;">
<img src="src/2.png" style="width: 49.7%; object-fit: cover;"/>
<img src="src/3.png" style="width: 49.7%; object-fit: cover;"/>
</div>
</div>
## Requirements
- python-conda or miniconda;
- python 3.10 or above;
- linux (windows not tested but probably working);
Python requirements are listed in `requirements.txt`.
## Installation
1. Clone repository:
```
git clone https://github.com/swrneko/faster-whisper-n-ionet-llm.git
cd faster-whisper-n-ionet-llm
```
also (if not insatlled)
- Insatll conda:
```
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh && bash miniconda.sh
```
2. Create virtual env:
```
conda create -n faster-whisper-n-ionet-llm python=3.10
conda activate faster-whisper-n-ionet-llm
conda install nvidia::cudnn cuda-version=12
```
3. Install requirements:
```
pip install -r requirements.txt
```
4. Get api key from [io.net](https://ai.io.net/ai/api-keys) and insert into `.env` file (need to create it in root of repository directory).
It should looks like this:
```
API_KEY='your_api_key_without_qoutes'
```
5. Done! Now you can just run it like that:
```shell
python app.py
```