### Install Tesseract and Dependencies

Source: https://github.com/lsdvaibhav/wildfire/blob/main/README.md

Instructions to install the Tesseract OCR engine using Homebrew and to install project dependencies using pip.

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

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

### Start Local Development Server

Source: https://github.com/lsdvaibhav/wildfire/blob/main/README.md

Command to navigate to the source directory and start the FastAPI application locally using uvicorn.

```bash
cd src
uvicorn server:app --reload
```

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

### Project Dependencies

Source: https://github.com/lsdvaibhav/wildfire/blob/main/requirements.txt

This snippet lists the Python packages and their version requirements for the wildfire project. These dependencies cover web framework, machine learning, and utility libraries.

```python
aiofiles==0.6.0
click==7.1.2
fastapi==0.61.1
h11==0.11.0
Jinja2==2.11.2
MarkupSafe==1.1.1
pydantic==1.7
python-multipart==0.0.5
six==1.15.0
starlette==0.13.6
typing-extensions==3.7.4.3
uvicorn==0.12.2
Keras==2.1.5
tensorflow==2.0.0
numpy==1.14.0
opencv-python==4.5.1.48
```

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

### Perform OCR with Image Upload

Source: https://github.com/lsdvaibhav/wildfire/blob/main/templates/index.html

This JavaScript function captures image files from a file input element, prepares them for upload using FormData, and sends them to a '/predict' endpoint via an AJAX POST request. It displays the prediction result using swal.

```javascript
function performOCR() {
  var files = document.getElementById("image_file").files;
  var formData = new FormData();
  var endpoint = '/predict';
  formData.append('image', files[0]);
  $.ajax({
    type: 'POST',
    url: endpoint,
    data: formData,
    contentType: false,
    cache: false,
    processData: false,
    success: function(data) {
      swal("Predicton", data.prediction);
    }
  });
}
```

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