42 lines
1.3 KiB
Python
42 lines
1.3 KiB
Python
import json
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from APIs.aichat import generate
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DISH_SAFETY_SCHEMA = {
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"type": "object",
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"properties": {
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"is_safe": {
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"type": "boolean",
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"description": "True if no microwave hazards (metal, foil, sealed packaging) are present."
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},
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"warning_message": {
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"type": "string",
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"description": "Explanation of any hazard found, or an empty string if safe."
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},
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"detected_hazards": {
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"type": "array",
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"items": {
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"type": "string"
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},
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"description": "List of specific hazard items detected."
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}
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},
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"required": ["is_safe", "warning_message", "detected_hazards"]
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}
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def check_dish_safety(image_path: str) -> dict:
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prompt = (
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"Analyze this top-down photo of a dish prepared for microwave cooking. "
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"Inspect the area for metal utensils, aluminum foil, metallic dish patterns, or unvented plastic wraps."
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)
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# Pass the schema directly to the generation call
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response_raw = generate(
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prompt=prompt,
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images=[image_path],
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output_format=DISH_SAFETY_SCHEMA # Passed as Ollama's `format` parameter
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)
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if isinstance(response_raw, dict):
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return response_raw
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return json.loads(response_raw) |