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"""Pydantic models for text generation"""
from pydantic import BaseModel, ConfigDict, Field
from typing import Optional, List
class GenerateRequest(BaseModel):
"""Request model for argument generation"""
model_config = ConfigDict(
json_schema_extra={
"example": {
"topic": "Assisted suicide should be a criminal offence",
"position": "positive" # "positive" or "negative"
}
}
)
topic: str = Field(..., min_length=5, max_length=1000,
description="The debate topic or statement")
position: str = Field(..., min_length=5, max_length=50,
description="The stance to take")
class GenerateResponse(BaseModel):
"""Response model for argument generation"""
model_config = ConfigDict(
json_schema_extra={
"example": {
"topic": "Assisted suicide should be a criminal offence",
"position": "positive", # "positive" or "negative"
"argument": "People have the right to choose how they end their lives",
"timestamp": "2024-11-15T10:30:00"
}
}
)
topic: str
position: str
argument: str
timestamp: str
timestamp: str
class BatchGenerateRequest(BaseModel):
"""Request model for batch argument generation"""
items: List[GenerateRequest]
class BatchGenerateResponse(BaseModel):
"""Response model for batch argument generation"""
results: List[GenerateResponse]
model_info: Optional[str] = "KPA T5 Generation Model"
timestamp: str
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