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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():
model = encoding_model.train_model()
return {"message": "Welcome to Prediction Hub"}
@app.get("/dimention")
def display_dimention(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.get("/prediction")
def display_prediction(message : str = "Give me a sms to predict"):
try:
prediction = encoding_model.get_prediction(message)
return {"message" : f"Given sms is a {prediction}"}
except Exception as e:
return f"Unable to fetch the data {e}" |