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import streamlit as st | |
import requests | |
import json | |
st.write(""" | |
# Application to predict the time for the NYC taxi trips | |
""") | |
st.sidebar.header('User Input Parameters') | |
def user_input_features(): | |
PU = st.sidebar.text_input("PU Location ID", "80") | |
DO = st.sidebar.text_input("DO Location ID", "60") | |
trip_distance = st.sidebar.number_input("Trip Distance", value=10.0, min_value=0.1, max_value=100.0) | |
input_dict = { | |
'PULocationID': PU, | |
'DOLocationID': DO, | |
'trip_distance': trip_distance, | |
} | |
return input_dict | |
input_dict = user_input_features() | |
if st.button('Predict'): | |
response = requests.post( | |
#url="http://localhost:8000/predict", | |
url="http://nyc-taxi-model-container:8000/predict", | |
data=json.dumps(input_dict) | |
) | |
st.write(f"El tiempo estimado del viaje es: {response.json()['prediction']} minutos") |