This project is a FastAPI application that parses resumes from PDF files and returns a structured JSON output using the Google Gemini API.

• Upload a resume in PDF format.
• Extracts text from the PDF.
• Uses the Google Gemini API to parse the text and extract key information.
• Returns a structured JSON response.

.
├── input/                # Directory for test PDF files (gitignored)
├── output/               # Directory for JSON output (gitignored)
├── venv/                 # Python virtual environment (gitignored)
├── .env                  # For storing your API key (gitignored)
├── .gitignore
├── main.py               # FastAPI application
├── client.py             # Single file test client
├── batch_client.py       # Batch processing test client
├── README.md
└── requirements.txt

1. Clone the repository:

   git clone [email protected]:DmitryOdinoky/resumeParser.git
   cd resumeParser

2. Create and activate the virtual environment:

   python3 -m venv venv
   source venv/bin/activate

3. Install the dependencies:

   pip install -r requirements.txt

4. Set up your API Key: This project uses the Google Gemini API. You must have an API key from Google AI Studio.

   • Create a new file in the project's root directory named .env.
   • Add the following line to the .env file, replacing your_secret_api_key with your actual key:

     GOOGLE_API_KEY='your_secret_api_key'
     

   The application will automatically load this key at startup. The .env file is included in .gitignore, so your key will not be committed to GitHub.

1. Start the FastAPI server:

   uvicorn main:app --reload

   The application will be running at http://127.0.0.1:8000.

2. Use the test clients: In a separate terminal, you can run either of the client scripts:

   • For a single file:

     python client.py

   • For all files in the input directory:

     python batch_client.py

   The scripts will send the PDF(s) to the API and save the JSON responses in the output directory.

• Request:
  • file: A PDF file.
• Response:
  • A JSON object with the parsed resume data.