| from fastapi import FastAPI | |
| import joblib | |
| import pandas as pd | |
| app = FastAPI() | |
| model = joblib.load("rf_classifer.joblib") | |
| def predict(data: dict): | |
| df = pd.DataFrame([data]) | |
| prediction = model.predict(df) | |
| return {"prediction" : prediction.tolist()} |
| from fastapi import FastAPI | |
| import joblib | |
| import pandas as pd | |
| app = FastAPI() | |
| model = joblib.load("rf_classifer.joblib") | |
| def predict(data: dict): | |
| df = pd.DataFrame([data]) | |
| prediction = model.predict(df) | |
| return {"prediction" : prediction.tolist()} |