from fastapi import FastAPI
import os
import sys
src_directory = os.path.abspath(os.path.join(os.path.dirname(__file__), "../..", "src"))
sys.path.append(src_directory)
from modules import encoding_model

app = FastAPI()

@app.get("/")
def home():
    encoding_model.train_model()
    return {"message": "Welcome to Prediction Hub"}

@app.get("/predict")
def display_prediction(message : str = "Hello World"):
    try:
        dimention  = encoding_model.get_label(message)
        return dimention
    except Exception as e:
        return f"Unable to fetch the data {e}"
    
# @app.post("/predict")
# def post_messsage(message, response_model ):
#     logistic_regression.create_embending(message)