Format file format from Windows/dos to Unix (#1949)

### What problem does this PR solve? Related source file is in Windows/DOS format, they are format to Unix format. ### Type of change - [x] Refactoring Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-12-08 12:32:30 +08:00 · 2024-08-15 09:17:36 +08:00
parent 1328d715db
commit 6b3a40be5c
108 changed files with 36399 additions and 36399 deletions
--- a/rag/app/picture.py
+++ b/rag/app/picture.py
@ -1,52 +1,52 @@
-#  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 []
+#  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 []