Update document layout analysis service

.github/workflows/push_docker_image.yml

@@ -2,8 +2,6 @@ name: Create and publish Docker image
 
 on:
   push:
-    branches:
-      - 'main'
     tags:
       - 'v*'
 

README.md

@@ -8,25 +8,19 @@
 
 ## Docker containers
 A redis server is needed to use the service asynchronously. For that matter, it can be used the 
-command `make start:testing` that has a built-in 
+command `make start-test` that has a built-in 
 redis server.
 
 Containers with `make start`
 
-![Alt logo](readme_pictures/docker_compose_up.png?raw=true "docker-compose up")
+Containers with `make start-test`
 
-Containers with `make start:testing`
 
-![Alt logo](readme_pictures/docker_compose_redis.png?raw=true "docker-compose -f docker-compose-service-with-redis.yml up")
-
-
-## How to use it asynchronously
+## How to use it
 1. Send PDF to extract
 
     curl -X POST -F 'file=@/PATH/TO/PDF/pdf_name.pdf' localhost:5051/async_extraction/[tenant_name]
 
-![Alt logo](readme_pictures/send_materials.png?raw=true "Send PDF to extract")
-
 
 2. Add extraction task
 
@@ -38,9 +32,6 @@ Python code:
     message_json = '{"tenant": "tenant_name", "task": "segmentation", "params": {"filename": "pdf_file_name.pdf"}}'
     message = queue.sendMessage(message_json).exceptions(False).execute()
 
-
-![Alt logo](readme_pictures/extraction.png?raw=true "Add extraction task")
-
 3. Get paragraphs
 
 When the segmentation task is done, a message is placed in the results queue:
@@ -66,11 +57,8 @@ or in python
     requests.get(results_message.data_url)
     requests.get(results_message.file_url)
 
-![Alt logo](readme_pictures/get_paragraphs.png?raw=true "Get paragraphs")
-
 
 ## HTTP server
-![Alt logo](readme_pictures/http_server.png?raw=true "HTTP server")
 
 The container `HTTP server` is coded using Python 3.9 and uses the [FastApi](https://fastapi.tiangolo.com/) web framework.
 
@@ -84,7 +72,6 @@ The errors are reported to the file `docker_volume/service.log`, if the configur
 
 
 ## Queue processor
-![Alt logo](readme_pictures/queue_processor.png?raw=true "Queue processor")
 
 The container `Queue processor` is coded using Python 3.9, and it is on charge of the communication with redis. 
 

docker-compose-test.yml

@@ -43,7 +43,7 @@ services:
   worker-pdf-layout:
     container_name: "worker-pdf-layout"
     entrypoint: [ "gunicorn", "-k", "uvicorn.workers.UvicornWorker", "--chdir", "./src", "app:app", "--bind", "0.0.0.0:5060", "--timeout", "10000"]
-    image: ghcr.io/huridocs/pdf-document-layout-analysis:0.0.7
+    image: ghcr.io/huridocs/pdf-document-layout-analysis:0.0.11
     init: true
     restart: unless-stopped
     ports:

docker-compose.yml

@@ -40,7 +40,7 @@ services:
   worker-pdf-layout-gpu:
     container_name: "worker-pdf-layout-gpu"
     entrypoint: [ "gunicorn", "-k", "uvicorn.workers.UvicornWorker", "--chdir", "./src", "app:app", "--bind", "0.0.0.0:5060", "--timeout", "10000"]
-    image: ghcr.io/huridocs/pdf-document-layout-analysis:0.0.7
+    image: ghcr.io/huridocs/pdf-document-layout-analysis:0.0.11
     init: true
     restart: unless-stopped
     network_mode: host

requirements.txt

@@ -1,4 +1,4 @@
-git+https://github.com/huridocs/pdf-document-layout-analysis@df0e6e0924e8214bf9d050c709e193e93cbf81ff
+git+https://github.com/huridocs/pdf-document-layout-analysis@d6cbcc4891391fd9f2fc577c9cef6f9c8f7d9e6f
 graypy==2.1.0
 PyYAML==6.0.1
 pymongo==4.8.0