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Runtime error
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import io
import json
import requests
from io import BytesIO
from time import time
import base64
from torchOcr import OCRModel
def validate_image_url(img_url):
response = requests.get(img_url)
if response.status_code != 200:
raise ValueError("Failed to retrieve image from URL")
if response.headers['Content-Type'] not in ['image/jpeg', 'image/jpg', 'image/png']:
raise ValueError("Invalid file type")
return response.content
def lambda_handler(event, context):
http_method = event['httpMethod']
path = event['path']
start_time = time()
ocr_model = OCRModel()
try:
if http_method == 'GET' and path == '/':
return {
"statusCode": 200,
"body": json.dumps({"message": "Hello from CaptchaSolver v1.0!"})
}
if http_method != 'POST':
return {
"statusCode": 405,
"body": json.dumps({"error": "Method not allowed"})
}
content_type = event['headers'].get('Content-Type', '')
if 'multipart/form-data' in content_type:
# Handle file upload via Postman
file_content = event['body']
img_buffer = BytesIO(base64.b64decode(file_content))
img_url = None # No URL provided in this case
brightness = body.get('brightness', 1.0)
contrast = body.get('contrast', 1.0)
sharpness = body.get('sharpness', 1.0)
else:
# Handle JSON input
body = json.loads(event.get('body', '{}'))
img_url = body.get('imgUrl')
img_buffer = None
brightness = body.get('brightness', 1.0)
contrast = body.get('contrast', 1.0)
sharpness = body.get('sharpness', 1.0)
if not img_url and not img_buffer:
return {
"statusCode": 400,
"body": json.dumps({"error": "Either imgUrl or image buffer must be provided"})
}
if img_url:
img_content = validate_image_url(img_url)
image_buffer = io.BytesIO(img_content)
else:
image_buffer = img_buffer
if path == '/captchaSolver':
detected_text = ocr_model.predict(image_buffer, brightness, contrast, sharpness)
result_message = "OCR Completed Successfully."
else:
return {
"statusCode": 404,
"body": json.dumps({"error": "Path not found"})
}
end_time = time()
execution_time = end_time - start_time
return {
"statusCode": 200,
"body": json.dumps({
"detected_text": detected_text,
"result": result_message,
"execution_time": f"{round(execution_time, 2)} sec",
})
}
except ValueError as ve:
return {
"statusCode": 400,
"body": json.dumps({"error": str(ve)})
}
except Exception as e:
print(f"Error: {str(e)}")
return {
"statusCode": 500,
"body": json.dumps({"error": "Internal server error", "details": str(e)})
}
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