### Run Streamlit Application

Source: https://github.com/aianytime/smoldocling-ocr-app/blob/main/README.md

Starts the Streamlit development server to run the SmolDocling OCR App.

```bash
streamlit run main.py
```

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

### Install Dependencies with Pip

Source: https://github.com/aianytime/smoldocling-ocr-app/blob/main/README.md

Installs project dependencies using the standard pip package manager.

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

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

### Install Dependencies with UV

Source: https://github.com/aianytime/smoldocling-ocr-app/blob/main/README.md

Installs project dependencies using the UV package manager, as recommended.

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

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

### Clone Repository and Navigate

Source: https://github.com/aianytime/smoldocling-ocr-app/blob/main/README.md

Clones the SmolDocling OCR App repository from GitHub and navigates into the project directory.

```bash
git clone https://github.com/AIAnytime/SmolDocling-OCR-App
cd smoldocling
```

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

### Configure Hugging Face Token

Source: https://github.com/aianytime/smoldocling-ocr-app/blob/main/README.md

Creates a .env file in the project root to store the Hugging Face API token, which is required for model access.

```bash
HF_TOKEN=your_huggingface_token_here
```

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

### Core Python Dependencies

Source: https://github.com/aianytime/smoldocling-ocr-app/blob/main/requirements.txt

Essential Python libraries for the OCR application's functionality, covering UI, machine learning, and document handling.

```python
streamlit
torch
accelerate
transformers
docling-core
huggingface_hub
Pillow
python-dotenv
numpy<2
PyMuPDF
```

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