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| from pydantic import BaseModel, ConfigDict , Field | |
| from typing import Optional | |
| import pandas as pd | |
| class State(BaseModel): | |
| carry_on: Optional[bool]=False | |
| messages: Optional[str] = None | |
| idea: list | |
| brainstroming_topics: Optional[list] = [] | |
| preferred_topics: Optional[list] = [] | |
| stories : Optional[list]=[] | |
| final_story: Optional[list]=[] | |
| retrievals : Optional[list]=[] | |
| business_details : Optional[dict]={} | |
| latest_preferred_topics: Optional[list] = [] | |
| images: Optional[list] = [] # Base64-encoded strings of images | |
| image_captions: Optional[list] = [] | |
| model_config = ConfigDict(arbitrary_types_allowed=True) | |
| class BrainstromTopicFormatter(BaseModel): | |
| topic1:str=Field(description="First brainstorming topic of the story") | |
| topic2:str=Field(description="Second brainstorming topic of the story") | |
| topic3:str=Field(description="Third brainstorming topic of the story") | |
| topic4:str=Field(description="Fourth brainstorming topic of the story") | |
| class QueryFormatter(BaseModel): | |
| video_topic: str = Field(description="The video topic that user passes to the agent") | |
| # business_details: dict = Field (description="The business details that user passes to the agent") | |