Rukopys OCR

import httpx, base64, json

with open("handwritten.jpg", "rb") as f:
    image_b64 = base64.b64encode(f.read()).decode()

resp = httpx.post(
    "https://app.lapathoniia.top/chat/stream",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
        "message": "Розпізнай текст",
        "model": "rukopys-ocr",
        "session_id": "ocr-session-1",
        "user_id": "user-123",
        "web_search": False,
        "connectors": False,
        "chat_history": [],
        "images": [
            {
                "base64": image_b64,
                "mime_type": "image/jpeg"
            }
        ],
    },
)

# Збираємо SSE відповідь
result = []
for line in resp.iter_lines():
    if line.startswith("data: "):
        data = json.loads(line[6:])
        if "text" in data:
            result.append(data["text"])

print("".join(result))

[
  {
    "text": "Шановний пане,",
    "bbox": [120, 45, 380, 70],
    "confidence": 0.94,
    "page": 1
  },
  {
    "text": "направляємо Вам документи",
    "bbox": [120, 80, 520, 105],
    "confidence": 0.91,
    "page": 1
  }
]

# OCR → MamayLM: витягти структуровані дані з рукопису
resp = httpx.post(
    "https://app.lapathoniia.top/batch/jobs",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
        "job_type": "ocr",
        "model": "rukopys-ocr",
        "input_ref": "data:image/jpeg;base64,...",
        "pipeline": "ocr_then_chat",
        "pipeline_instruction": "Витягни: дата, підписант, сума",
        "pipeline_model": "MamayLM-Gemma-3-27B-IT-v2.0",
    },
)