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Siddhesh Agarwal
21 lines
538 B
Python
21 lines
538 B
Python
from typing import Literal
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from _context import sm
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from pydantic import BaseModel
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class SentimentAnalysis(BaseModel):
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sentiment: Literal["positive", "negative", "neutral"]
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confidence: float
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print(
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sm.generate_data(
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prompt="Analyze the sentiment of the following text:\n\n'The product arrived late and was broken. Worst purchase ever!'",
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llm_provider="openai",
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llm_model="gpt-4o",
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response_model=SentimentAnalysis,
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)
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)
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# Output: SentimentAnalysis(sentiment='negative', confidence=0.95)
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