Update app.py
Browse files
app.py
CHANGED
|
@@ -2,18 +2,26 @@ from fastapi import FastAPI, UploadFile, File
|
|
| 2 |
from transformers import TrOCRProcessor, VisionEncoderDecoderModel
|
| 3 |
from PIL import Image
|
| 4 |
|
|
|
|
|
|
|
| 5 |
app = FastAPI()
|
| 6 |
|
| 7 |
try:
|
|
|
|
| 8 |
processor = TrOCRProcessor.from_pretrained("microsoft/trocr-base-stage1")
|
| 9 |
model = VisionEncoderDecoderModel.from_pretrained("microsoft/trocr-base-stage1")
|
|
|
|
| 10 |
except Exception as e:
|
| 11 |
-
print("Model load failed:", e)
|
| 12 |
|
| 13 |
@app.post("/predict")
|
| 14 |
async def predict(file: UploadFile = File(...)):
|
|
|
|
| 15 |
image = Image.open(file.file).convert("RGB")
|
|
|
|
| 16 |
pixel_values = processor(image, return_tensors="pt").pixel_values
|
| 17 |
generated_ids = model.generate(pixel_values)
|
| 18 |
text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
|
|
|
|
|
|
|
| 19 |
return {"text": text}
|
|
|
|
| 2 |
from transformers import TrOCRProcessor, VisionEncoderDecoderModel
|
| 3 |
from PIL import Image
|
| 4 |
|
| 5 |
+
print("π App is starting...")
|
| 6 |
+
|
| 7 |
app = FastAPI()
|
| 8 |
|
| 9 |
try:
|
| 10 |
+
print("β³ Loading TrOCR model...")
|
| 11 |
processor = TrOCRProcessor.from_pretrained("microsoft/trocr-base-stage1")
|
| 12 |
model = VisionEncoderDecoderModel.from_pretrained("microsoft/trocr-base-stage1")
|
| 13 |
+
print("β
Model loaded successfully")
|
| 14 |
except Exception as e:
|
| 15 |
+
print("β Model load failed:", e)
|
| 16 |
|
| 17 |
@app.post("/predict")
|
| 18 |
async def predict(file: UploadFile = File(...)):
|
| 19 |
+
print("πΈ Received image, running OCR...")
|
| 20 |
image = Image.open(file.file).convert("RGB")
|
| 21 |
+
|
| 22 |
pixel_values = processor(image, return_tensors="pt").pixel_values
|
| 23 |
generated_ids = model.generate(pixel_values)
|
| 24 |
text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
|
| 25 |
+
|
| 26 |
+
print("π€ OCR Result:", text)
|
| 27 |
return {"text": text}
|