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| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| # | |
| import io | |
| import numpy as np | |
| from PIL import Image | |
| from api.db import LLMType | |
| from api.db.services.llm_service import LLMBundle | |
| from rag.nlp import tokenize | |
| from deepdoc.vision import OCR | |
| ocr = OCR() | |
| def chunk(filename, binary, tenant_id, lang, callback=None, **kwargs): | |
| img = Image.open(io.BytesIO(binary)).convert('RGB') | |
| doc = { | |
| "docnm_kwd": filename, | |
| "image": img | |
| } | |
| bxs = ocr(np.array(img)) | |
| txt = "\n".join([t[0] for _, t in bxs if t[0]]) | |
| eng = lang.lower() == "english" | |
| callback(0.4, "Finish OCR: (%s ...)" % txt[:12]) | |
| if (eng and len(txt.split(" ")) > 32) or len(txt) > 32: | |
| tokenize(doc, txt, eng) | |
| callback(0.8, "OCR results is too long to use CV LLM.") | |
| return [doc] | |
| try: | |
| callback(0.4, "Use CV LLM to describe the picture.") | |
| cv_mdl = LLMBundle(tenant_id, LLMType.IMAGE2TEXT, lang=lang) | |
| ans = cv_mdl.describe(binary) | |
| callback(0.8, "CV LLM respond: %s ..." % ans[:32]) | |
| txt += "\n" + ans | |
| tokenize(doc, txt, eng) | |
| return [doc] | |
| except Exception as e: | |
| callback(prog=-1, msg=str(e)) | |
| return [] | |