I deployed my h2o model using FastAPI into a web application, where the h2o model will take in the user's input the province, agent type, occupations, premium, sum insurred, etc, and return a prediction.
I have 3 scripts:
app
predict.html
result.html
this is the script for app:
from fastapi import FastAPI, Request
from fastapi.responses import HTMLResponse
from fastapi.templating import Jinja2Templates
import h2o
import os
import pandas as pd
h2o.init()
app = FastAPI()
templates = Jinja2Templates(directory="templates")
@app.get("/", response_class=HTMLResponse)
async def predict(request: Request):
return templates.TemplateResponse("predict.html", {"request": request})
@app.post("/predict", response_class=HTMLResponse)
async def predict(request: Request, PROVINCE: str, TH_OCODE: str, AGENT_TYPE: str, OCCUPATIONS: str, BEN_ANNUAL_PREMIUM: float, BEN_BASE_SUM_INS: float, MED_LOADING_TYPE: int):
try:
# Input data for prediction
input_data = {"PROVINCE": [PROVINCE],
"TH_OCODE": [TH_OCODE],
"AGENT_TYPE": [AGENT_TYPE],
"OCCUPATIONS": [OCCUPATIONS],
"BEN_ANNUAL_PREMIUM": [BEN_ANNUAL_PREMIUM],
"BEN_BASE_SUM_INS": [BEN_BASE_SUM_INS],
"MED_LOADING_TYPE": [MED_LOADING_TYPE]}
print(input_data)
input_data = pd.DataFrame.from_dict(input_data)
# Create a new H2O frame for the input data
input_frame = h2o.H2OFrame(input_data)
# Load the H2O model
model = h2o.load_model(os.path.join(os.getcwd(), 'model', 'Model_61_test'))
# Make the prediction with the H2O model
prediction = model.predict(test_data=input_frame).as_data_frame()
prediction = prediction.loc[0,'p1']
# Render the HTML template with the prediction result
return templates.TemplateResponse("result.html", {"request": request, "prediction": prediction})
except Exception as e:
prediction = str(e)
this is the script for predict:
<html>
<head>
<title>Predict</title>
</head>
<body>
<h1>Predict</h1>
<form method="post" action="/predict">
<label for="PROVINCE">PROVINCE:</label>
<input type="text" id="PROVINCE" name="PROVINCE"><br><br>
<label for="TH_OCODE">TH_OCODE:</label>
<input type="text" id="TH_OCODE" name="TH_OCODE"><br><br>
<label for="AGENT_TYPE">AGENT_TYPE:</label>
<input type="text" id="AGENT_TYPE" name="AGENT_TYPE"><br><br>
<label for="OCCUPATIONS">OCCUPATIONS:</label>
<input type="text" id="OCCUPATIONS" name="OCCUPATIONS"><br><br>
<label for="BEN_ANNUAL_PREMIUM">BEN_ANNUAL_PREMIUM:</label>
<input type="number" step="any" id="BEN_ANNUAL_PREMIUM" name="BEN_ANNUAL_PREMIUM"><br><br>
<label for="BEN_BASE_SUM_INS">BEN_BASE_SUM_INS:</label>
<input type="number" step="any" id="BEN_BASE_SUM_INS" name="BEN_BASE_SUM_INS"><br><br>
<label for="MED_LOADING_TYPE">MED_LOADING_TYPE:</label>
<input type="number" id="MED_LOADING_TYPE" name="MED_LOADING_TYPE"><br><br>
<input type="submit" value="Predict">
</form>
{% if prediction %}
<h2>Prediction Result:</h2>
<p>{{ prediction }}</p>
{% endif %}
</body>
</html>
this is the script for result:
<html>
<head>
<title>Prediction Result</title>
</head>
<body>
<h1>Prediction Result</h1>
<p>The predicted value is: {{ prediction }}</p>
</body>
</html>
I ran the server with: uvicorn app:app --reload
and inputted the parameters as follows: enter image description here
but ended up with the following errors:
{"detail":[{"loc":["query","PROVINCE"],"msg":"field required","type":"value_error.missing"},{"loc": ["query","TH_OCODE"],"msg":"field required","type":"value_error.missing"},{"loc": ["query","AGENT_TYPE"],"msg":"field required","type":"value_error.missing"},{"loc":["query","OCCUPATIONS"],"msg":"field required","type":"value_error.missing"},{"loc":["query","BEN_ANNUAL_PREMIUM"],"msg":"field required","type":"value_error.missing"},{"loc":["query","BEN_BASE_SUM_INS"],"msg":"field required","type":"value_error.missing"},{"loc": ["query","MED_LOADING_TYPE"],"msg":"field required","type":"value_error.missing"}]}
this error came in the log: "POST /predict HTTP/1.1" 422 Unprocessable Entity
I'm not sure where I went wrong in my scripts.
