add RapidOCRPDFLoader and RapidOCRLoader (#1275)

* add RapidOCRPDFLoader

* update mypdfloader.py and requirements.txt

* add myimgloader.py

* add test samples

* add TODO to mypdfloader

* add loaders to KnowledgeFile class

* add loaders to KnowledgeFile class

document_loaders/__init__.py

@@ -0,0 +1,2 @@
+from .mypdfloader import RapidOCRPDFLoader
+from .myimgloader import RapidOCRLoader

document_loaders/myimgloader.py

@@ -0,0 +1,25 @@
+from typing import List
+from langchain.document_loaders.unstructured import UnstructuredFileLoader
+
+
+class RapidOCRLoader(UnstructuredFileLoader):
+    def _get_elements(self) -> List:
+        def img2text(filepath):
+            from rapidocr_onnxruntime import RapidOCR
+            resp = ""
+            ocr = RapidOCR()
+            result, _ = ocr(filepath)
+            if result:
+                ocr_result = [line[1] for line in result]
+                resp += "\n".join(ocr_result)
+            return resp
+
+        text = img2text(self.file_path)
+        from unstructured.partition.text import partition_text
+        return partition_text(text=text, **self.unstructured_kwargs)
+
+
+if __name__ == "__main__":
+    loader = RapidOCRLoader(file_path="../tests/samples/ocr_test.jpg")
+    docs = loader.load()
+    print(docs)

document_loaders/mypdfloader.py

@@ -0,0 +1,37 @@
+from typing import List
+from langchain.document_loaders.unstructured import UnstructuredFileLoader
+
+
+class RapidOCRPDFLoader(UnstructuredFileLoader):
+    def _get_elements(self) -> List:
+        def pdf2text(filepath):
+            import fitz
+            from rapidocr_onnxruntime import RapidOCR
+            import numpy as np
+            ocr = RapidOCR()
+            doc = fitz.open(filepath)
+            resp = ""
+            for page in doc:
+                # TODO: 依据文本与图片顺序调整处理方式
+                text = page.get_text("")
+                resp += text + "\n"
+
+                img_list = page.get_images()
+                for img in img_list:
+                    pix = fitz.Pixmap(doc, img[0])
+                    img_array = np.frombuffer(pix.samples, dtype=np.uint8).reshape(pix.height, pix.width, -1)
+                    result, _ = ocr(img_array)
+                    if result:
+                        ocr_result = [line[1] for line in result]
+                        resp += "\n".join(ocr_result)
+            return resp
+
+        text = pdf2text(self.file_path)
+        from unstructured.partition.text import partition_text
+        return partition_text(text=text, **self.unstructured_kwargs)
+
+
+if __name__ == "__main__":
+    loader = RapidOCRPDFLoader(file_path="../tests/samples/ocr_test.pdf")
+    docs = loader.load()
+    print(docs)

requirements.txt

@@ -15,6 +15,8 @@ SQLAlchemy==2.0.19
 faiss-cpu
 accelerate
 spacy
+PyMuPDF==1.22.5
+rapidocr_onnxruntime>=1.3.1
 
 # uncomment libs if you want to use corresponding vector store
 # pymilvus==2.1.3 # requires milvus==2.1.3

requirements_api.txt

@@ -16,6 +16,8 @@ faiss-cpu
 nltk
 accelerate
 spacy
+PyMuPDF==1.22.5
+rapidocr_onnxruntime>=1.3.1
 
 # uncomment libs if you want to use corresponding vector store
 # pymilvus==2.1.3 # requires milvus==2.1.3

server/knowledge_base/utils.py

@@ -87,7 +87,8 @@ LOADER_DICT = {"UnstructuredHTMLLoader": ['.html'],
                "UnstructuredMarkdownLoader": ['.md'],
                "CustomJSONLoader": [".json"],
                "CSVLoader": [".csv"],
-               "PyPDFLoader": [".pdf"],
+               "RapidOCRPDFLoader": [".pdf"],
+               "RapidOCRLoader": ['.png', '.jpg', '.jpeg', '.bmp'],
                "UnstructuredFileLoader": ['.eml', '.msg', '.rst',
                                           '.rtf', '.txt', '.xml',
                                           '.doc', '.docx', '.epub', '.odt',
@@ -196,7 +197,10 @@ class KnowledgeFile:
 
         print(f"{self.document_loader_name} used for {self.filepath}")
         try:
-            document_loaders_module = importlib.import_module('langchain.document_loaders')
+            if self.document_loader_name in []:
+                document_loaders_module = importlib.import_module('document_loaders')
+            else:
+                document_loaders_module = importlib.import_module('langchain.document_loaders')
             DocumentLoader = getattr(document_loaders_module, self.document_loader_name)
         except Exception as e:
             print(e)