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