| | 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] = [] |
| | image_captions: Optional[list] = [] |
| | model_config = ConfigDict(arbitrary_types_allowed=True) |
| |
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| |
|
| | 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") |
| | |
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