|
|
--- |
|
|
title: CV Parser |
|
|
emoji: 🐳 |
|
|
colorFrom: purple |
|
|
colorTo: gray |
|
|
sdk: docker |
|
|
app_port: 7860 |
|
|
--- |
|
|
# CV Parser |
|
|
|
|
|
A FastAPI service that parses resumes and CVs from various document formats. |
|
|
|
|
|
## Setup |
|
|
|
|
|
1. Install dependencies: |
|
|
```bash |
|
|
pip install -r requirements.txt |
|
|
``` |
|
|
|
|
|
2. Set up the Gemini API key: |
|
|
```bash |
|
|
export GEMINI_API_KEY=your_api_key_here |
|
|
``` |
|
|
|
|
|
3. Run the API server: |
|
|
```bash |
|
|
python api.py |
|
|
``` |
|
|
|
|
|
The server will start on http://localhost:8000 |
|
|
|
|
|
## API Usage |
|
|
|
|
|
### Upload a Document |
|
|
|
|
|
**Endpoint:** `POST /upload/` |
|
|
|
|
|
**Supported formats:** PDF, DOCX, JPG, JPEG, PNG |
|
|
|
|
|
**Example using curl:** |
|
|
```bash |
|
|
curl -X 'POST' \ |
|
|
'http://localhost:8000/upload/' \ |
|
|
-H 'accept: application/json' \ |
|
|
-H 'Content-Type: multipart/form-data' \ |
|
|
-F 'file=@/path/to/your/resume.pdf' |
|
|
``` |
|
|
|
|
|
## Command Line Usage |
|
|
|
|
|
You can also use the parser directly from the command line: |
|
|
|
|
|
```bash |
|
|
python main.py /path/to/your/resume.pdf |
|
|
``` |
|
|
|
