51 lines
2.0 KiB
Python
51 lines
2.0 KiB
Python
import json
|
|
from pydantic import BaseModel, Field
|
|
from APIs.aichat import generate
|
|
import shared.config as config
|
|
|
|
class DishSafetyResult(BaseModel):
|
|
visible_objects: list[str] = Field(
|
|
description="List EVERY distinct item visible in the frame (e.g., ['ceramic bowl', 'rice', 'metal spoon handle', 'stew'])."
|
|
)
|
|
is_safe: bool = Field(
|
|
description="Is the microwave dish safe to microwave? True if safe, False if unsafe."
|
|
)
|
|
detected_hazards: list[str] = Field(
|
|
description="List ONLY physical hazard items found. Empty list [] if safe."
|
|
)
|
|
warning_message: str = Field(
|
|
description="Warning statement if unsafe, otherwise empty string ''."
|
|
)
|
|
|
|
def check_dish_safety(image_path: str) -> dict:
|
|
prompt = (
|
|
"You are an expert microwave safety quality inspector analyzing a top-down camera frame.\n\n"
|
|
"INSPECTION STEPS:\n"
|
|
"Describe what you see in the image, identify any viewable hazards, and determine if the dish is safe to microwave.\n"
|
|
"Alert only if the cooking of the dish **will cause damage** to the microwave or the dish itself.\n"
|
|
"NOTES:\n"
|
|
"The camera focus is wrongly setup, so the image may be blurry. Please do not take the blurriness or lack of view into a hazardn"
|
|
)
|
|
|
|
response_raw = generate(
|
|
prompt=prompt,
|
|
images=[image_path],
|
|
output_format=DishSafetyResult,
|
|
should_think=False,
|
|
)
|
|
print(f"[Debug] Raw response from AI generator: {response_raw}")
|
|
|
|
if isinstance(response_raw, str):
|
|
try:
|
|
validated_result = DishSafetyResult.model_validate_json(response_raw)
|
|
return validated_result.model_dump()
|
|
except Exception:
|
|
return json.loads(response_raw)
|
|
|
|
if isinstance(response_raw, DishSafetyResult):
|
|
return response_raw.model_dump()
|
|
|
|
if isinstance(response_raw, dict):
|
|
return response_raw
|
|
|
|
raise ValueError(f"Unexpected response type from AI generator: {type(response_raw)}") |