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from fastapi import FastAPI |
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from pydantic import BaseModel |
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from transformers import pipeline |
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app = FastAPI() |
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classifier = pipeline( |
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"text-classification", |
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model="LokeshDevCreates/tone-baseline-v3", |
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top_k=None |
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) |
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class TextRequest(BaseModel): |
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text: str |
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@app.post("/predict") |
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def predict_tone(req: TextRequest): |
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results = classifier(req.text)[0] |
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results = sorted(results, key=lambda x: x["score"], reverse=True) |
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return { |
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"detected_tone": results[0]["label"], |
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"confidence": round(results[0]["score"], 4), |
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"all_probs": {r["label"]: round(r["score"], 4) for r in results} |
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} |
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