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emotion_api.py

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+
+
+from fastapi import FastAPI
+from pydantic import BaseModel
+import joblib
+
+app = FastAPI()
+
+# Load your model once when the server starts
+model = joblib.load("./models/emotion_classifier_pipe_lr.pkl")
+
+class TextRequest(BaseModel):
+    text: str
+
+class PredictionResponse(BaseModel):
+    emotion: str
+
+@app.post("/predict", response_model=PredictionResponse)
+def predict_emotion(req: TextRequest):
+    prediction = model.predict([req.text])[0]
+    return {"emotion": prediction}

emotion_classifier_pipe_lr.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:faad44a2f2f17f9ce68314ec5785352ca76934cedba1fb641e7fa0bf44fdb8d8
+size 2015652