Pujan Neupane commited on
Commit ·
f70e4b3
1
Parent(s): d762de0
Updated the MODEL foler i.e the hugging face model downloader
Browse files- MODEL/app.py +18 -0
- MODEL/readme.md +61 -0
- MODEL/requirements.txt +1 -0
- README.md +4 -0
MODEL/app.py
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import os
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from huggingface_hub import Repository
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def download_repo():
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hf_token = os.getenv("HF_TOKEN")
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if not hf_token:
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raise ValueError("HF_TOKEN not found in environment variables.")
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repo_id = "can-org/AIModel"
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local_dir = "../Ai-Text-Detector/"
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repo = Repository(local_dir, clone_from=repo_id, token=hf_token)
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print(f"Repository downloaded to: {local_dir}")
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if __name__ == "__main__":
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download_repo()
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MODEL/readme.md
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### Hugging Face CLI Tool
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This CLI tool allows you to **upload** and **download** models from Hugging Face repositories. It requires an **Hugging Face Access Token (`HF_TOKEN`)** for authentication, especially for private repositories.
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### Prerequisites
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1. **Install Hugging Face Hub**:
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```bash
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pip install huggingface_hub
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```
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2. **Get HF_TOKEN**:
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- Log in to [Hugging Face](https://huggingface.co/).
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- Go to **Settings** → **Access Tokens** → **Create a new token** with `read` and `write` permissions.
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- Save the token.
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### Usage
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1. **Set the Token**:
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- **Linux/macOS**:
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```bash
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export HF_TOKEN=your_token_here
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```
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- **Windows (CMD)**:
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```bash
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set HF_TOKEN=your_token_here
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```
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2. **Download Model**:
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```bash
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python main.py --download --repo-id <repo_name> --save-dir <local_save_path>
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```
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3. **Upload Model**:
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```bash
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python main.py --upload --repo-id <repo_name> --model-path <local_model_path>
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```
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### Example
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To download a model:
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```bash
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python main.py
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```
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### Authentication
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Ensure you set `HF_TOKEN` to access private repositories. If not set, the script will raise an error.
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Here’s a clearer and more polished version of that note:
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---
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### ⚠️ Note
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**Make sure to run this script from the `HuggingFace` directory to ensure correct path resolution and functionality.**
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---
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MODEL/requirements.txt
ADDED
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@@ -0,0 +1 @@
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huggingface_hub
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README.md
CHANGED
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@@ -262,3 +262,7 @@ curl -X POST http://localhost:3000/analyze-text \
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-H 'Content-Type: application/json' \
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-d '{"text": "This is a test input"}'
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```
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-H 'Content-Type: application/json' \
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-d '{"text": "This is a test input"}'
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```
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### MODEL
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- You can download the model from the `/MODEL/app.py` file.
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