74 lines
2 KiB
Python
74 lines
2 KiB
Python
from models.llm_message import LLMMessage
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from models.presentation_layout import SlideLayoutModel
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from models.sql.slide import SlideModel
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from services.llm_client import LLMClient
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from utils.llm_provider import get_model
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from utils.schema_utils import remove_fields_from_schema
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system_prompt = """
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Edit Slide data based on provided prompt, follow mentioned steps and notes and provide structured output.
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# Notes
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- Provide output in language mentioned in **Input**.
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- The goal is to change Slide data based on the provided prompt.
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- Do not change **Image prompts** and **Icon queries** if not asked for in prompt.
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- Generate **Image prompts** and **Icon queries** if asked to generate or change in prompt.
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- Make sure to follow language guidelines.
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**Go through all notes and steps and make sure they are followed, including mentioned constraints**
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"""
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def get_user_prompt(prompt: str, slide_data: dict, language: str):
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return f"""
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## Icon Query And Image Prompt Language
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English
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## Slide Content Language
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{language}
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## Prompt
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{prompt}
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## Slide data
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{slide_data}
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"""
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def get_messages(
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prompt: str,
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slide_data: dict,
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language: str,
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):
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return [
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LLMMessage(
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role="system",
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content=system_prompt,
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),
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LLMMessage(
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role="user",
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content=get_user_prompt(prompt, slide_data, language),
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),
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]
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async def get_edited_slide_content(
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prompt: str,
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slide: SlideModel,
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language: str,
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slide_layout: SlideLayoutModel,
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):
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model = get_model()
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response_schema = remove_fields_from_schema(
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slide_layout.json_schema, ["__image_url__", "__icon_url__"]
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)
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client = LLMClient()
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response = await client.generate_structured(
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model=model,
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messages=get_messages(prompt, slide.content, language),
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response_format=response_schema,
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strict=False,
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)
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return response
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