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import requests
import os
from dotenv import load_dotenv
load_dotenv()
ocr_api_key = os.getenv("OCR_SPACE_API_KEY")
def extract_text_from_image(image_input):
try:
if not ocr_api_key or not ocr_api_key.strip():
return "❌ OCR API anahtarı eksik."
# Hugging Face -> Gradio upload: image_input bir dosya yoludur (str)
# Local test: image_input file-like olabilir
if hasattr(image_input, "read"):
image_data = image_input.read()
elif isinstance(image_input, str) and os.path.exists(image_input):
with open(image_input, 'rb') as f:
image_data = f.read()
else:
return "❌ Geçersiz görsel girdisi."
response = requests.post(
url='https://api.ocr.space/parse/image',
files={'file': ('image.png', image_data)},
data={
'apikey': ocr_api_key.strip(),
'language': 'eng',
'isOverlayRequired': False,
'OCREngine': 2
}
)
# JSON dönüşüm kontrolü
try:
result = response.json()
except Exception:
return f"❌ API yanıtı JSON değil:\n{response.text}"
if not isinstance(result, dict):
return f"❌ API çıktısı sözlük değil:\n{result}"
if result.get("IsErroredOnProcessing"):
return f"❌ OCR Hatası: {result.get('ErrorMessage', ['Bilinmeyen hata'])[0]}"
parsed_results = result.get("ParsedResults")
if not parsed_results or not isinstance(parsed_results, list):
return "❌ OCR sonucu boş veya biçimsiz."
return parsed_results[0].get('ParsedText', '').strip()
except Exception as e:
return f"❌ Sistemsel Hata: {str(e)}"
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