Update main.py

main.py

@@ -1,111 +1,70 @@
-# import os
-# from fastapi import FastAPI, File, Request, UploadFile, Body, Depends, HTTPException
-# from fastapi.security.api_key import APIKeyHeader
-# from typing import Optional, Annotated
-# from fastapi.encoders import jsonable_encoder
-# from PIL import Image
-# import io
-# import cv2
-# import numpy as np
-# import pytesseract
-# from nltk.tokenize import sent_tokenize
-# from transformers import MarianMTModel, MarianTokenizer
+import os
+from fastapi import FastAPI, File, Request, UploadFile, Body, Depends, HTTPException
+from fastapi.security.api_key import APIKeyHeader
+from typing import Optional, Annotated
+from fastapi.encoders import jsonable_encoder
+from PIL import Image
+import io
+import cv2
+import numpy as np
+import pytesseract
+from nltk.tokenize import sent_tokenize
+from transformers import MarianMTModel, MarianTokenizer
 
-# API_KEY = os.environ.get("API_KEY")
+API_KEY = os.environ.get("API_KEY")
 
-# app = FastAPI()
-# api_key_header = APIKeyHeader(name="api_key", auto_error=False)
+app = FastAPI()
+api_key_header = APIKeyHeader(name="api_key", auto_error=False)
 
-# def get_api_key(api_key: Optional[str] = Depends(api_key_header)):
-#     if api_key is None or api_key != API_KEY:
-#         raise HTTPException(status_code=401, detail="Unauthorized access")
-#     return api_key
+def get_api_key(api_key: Optional[str] = Depends(api_key_header)):
+    if api_key is None or api_key != API_KEY:
+        raise HTTPException(status_code=401, detail="Unauthorized access")
+    return api_key
 
-# @app.post("/api/ocr", response_model=dict)
-# async def ocr(
-#     api_key: str = Depends(get_api_key),
-#     image: UploadFile = File(...),
-#     # languages: list = Body(["eng"])
-# ):
-#     try:
-#         print("[1]",os.popen(f'cat /etc/debian_version').read())
-#         print("[2]",os.popen(f'cat /etc/issue').read())
-#         print("[3]",os.popen(f'apt search tesseract').read())
-#         # content = await image.read()
-#         # image = Image.open(BytesIO(content))
-#         image_stream = io.BytesIO(image)
-#         image_stream.seek(0)
-#         file_bytes = np.asarray(bytearray(image_stream.read()), dtype=np.uint8)
-#         frame = cv2.imdecode(file_bytes, cv2.IMREAD_COLOR)
-#         # label = read_img(frame)
-#         print("[image]",frame)
-#         if hasattr(pytesseract, "image_to_string"):
-#             print("Image to string function is available")
-#         else:
-#             print("Image to string function is not available")
-#         # text = pytesseract.image_to_string(image, lang="+".join(languages))
-#         # text = pytesseract.image_to_string(image, lang = 'eng')
-#     except Exception as e:
-#         return {"error": str(e)}, 500
+@app.post("/api/ocr", response_model=dict)
+async def ocr(
+    api_key: str = Depends(get_api_key),
+    image: UploadFile = File(...),
+    # languages: list = Body(["eng"])
+):
+    try:
+        content = await image.read()
+        image = Image.open(BytesIO(content))
+        print("[image]",image)
+        if hasattr(pytesseract, "image_to_string"):
+            print("Image to string function is available")
+        else:
+            print("Image to string function is not available")
+        # text = pytesseract.image_to_string(image, lang="+".join(languages))
+        # text = pytesseract.image_to_string(image, lang = 'eng')
+    except Exception as e:
+        return {"error": str(e)}, 500
 
-#     # return jsonable_encoder({"text": text})
-#     return {"ImageText": "text"}
+    return {"ImageText": "text"}
 
-# @app.post("/api/translate", response_model=dict)
-# async def translate(
-#     api_key: str = Depends(get_api_key),
-#     text: str = Body(...),
-#     src: str = "en",
-#     trg: str = "zh",
-# ):
-#     if api_key != API_KEY:
-#         return {"error": "Invalid API key"}, 401
+@app.post("/api/translate", response_model=dict)
+async def translate(
+    api_key: str = Depends(get_api_key),
+    text: str = Body(...),
+    src: str = "en",
+    trg: str = "zh",
+):
+    if api_key != API_KEY:
+        return {"error": "Invalid API key"}, 401
 
-#     tokenizer, model = get_model(src, trg)
+    tokenizer, model = get_model(src, trg)
 
-#     translated_text = ""
-#     for sentence in sent_tokenize(text):
-#         translated_sub = model.generate(**tokenizer(sentence, return_tensors="pt"))[0]
-#         translated_text += tokenizer.decode(translated_sub, skip_special_tokens=True) + "\n"
+    translated_text = ""
+    for sentence in sent_tokenize(text):
+        translated_sub = model.generate(**tokenizer(sentence, return_tensors="pt"))[0]
+        translated_text += tokenizer.decode(translated_sub, skip_special_tokens=True) + "\n"
 
-#     return jsonable_encoder({"translated_text": translated_text})
+    return jsonable_encoder({"translated_text": translated_text})
 
-# def get_model(src: str, trg: str):
-#     model_name = f"Helsinki-NLP/opus-mt-{src}-{trg}"
-#     tokenizer = MarianTokenizer.from_pretrained(model_name)
-#     model = MarianMTModel.from_pretrained(model_name)
-#     return tokenizer, model
+def get_model(src: str, trg: str):
+    model_name = f"Helsinki-NLP/opus-mt-{src}-{trg}"
+    tokenizer = MarianTokenizer.from_pretrained(model_name)
+    model = MarianMTModel.from_pretrained(model_name)
+    return tokenizer, model
 
 
-import numpy as np
-import sys, os
-from fastapi import FastAPI, UploadFile, File
-from starlette.requests import Request
-import io
-import cv2
-import pytesseract
-from pydantic import BaseModel
-def read_img(img):
-    print("[img]", img)
- # text = pytesseract.image_to_string(img)
-    text = 'bhooo'
-    return(text)
- 
-app = FastAPI()
-class ImageType(BaseModel):
- url: str
-@app.post("/api/ocr", response_model=dict)
-async def ocr(request: Request,
-              file: bytes = File(...)
-             ):
-# if request.method == "POST":
-    try:
-        image_stream = io.BytesIO(file)
-        image_stream.seek(0)
-        file_bytes = np.asarray(bytearray(image_stream.read()), dtype=np.uint8)
-        frame = cv2.imdecode(file_bytes, cv2.IMREAD_COLOR)
-        label = read_img(frame)
-        print("[label]",label)
-    except Exception as e:
-        return {"error": str(e)}, 500
-    return {"ImageText" : label}