/TMLM-OCR-API

Primary LanguagePython

TMLM-OCR-API

Run Docker Image Directly

docker pull deveshwi/tmlm-ocr:docai
gcloud auth application-default login
docker run -p 8000:8000 -v {$.env_file_path}:/app/.env -v  {$homedir_path}/.config/gcloud:/root/.config/gcloud deveshwi/tmlm-ocr:docai

Call API using python

python call_api.py

Call API using cURL

Send a POST Request: Use the following cURL command to send the image to the API:

curl -X POST "http://localhost:8000/predict" \
     -H "Content-Type: multipart/form-data" \
     -F "file=@tmp.jpg"

Output: { "output": [ { "x": 100, "y": 47, "w": 600, "h": 122, "text": "(མཛད་རྣམ་རྒྱ་ཆེན་སྙིང་རྗེའི་" }, { "x": 310, "y": 175, "w": 204, "h": 70, "text": "རོལ་མཚོ།" }, { "x": 188, "y": 1098, "w": 475, "h": 45, "text": "ནོར་གླིང་མཛད་རྣམ་སྡེ་ཚན་ནས་རྩོམ་སྒྲིག་དང་།" } ] }

Installation instructions for running it locally

  1. Installation:

    sudo apt-get update
sudo apt-get install libgl1-mesa-glx
pip install -r requirements.txt

  2. Copy the PROJECT_ID, LOCATION, and PROCESSOR_ID values into the .env file.

  3. Start the API server:

    uvicorn app:app --port 8000 --host 0.0.0.0
python call_api.py