Create app.py
Browse files
app.py
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import streamlit as st
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import requests
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import json
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st.title("Predictive Model App")
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# Create input fields
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high = st.number_input("High", format="%f")
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low = st.number_input("Low", format="%f")
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open_val = st.number_input("Open", format="%f") # renamed to avoid conflict with the built-in open function
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volume = st.number_input("Volume", format="%f")
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url = "https://nareshstp.pythonanywhere.com/predict"
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# Create a button to trigger the prediction
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if st.button("Predict"):
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# Prepare the parameters for the POST request
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params = {
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"high": str(high),
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"low": str(low),
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"open": str(open_val),
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"volume": str(volume)
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}
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# Make the POST request
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try:
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response = requests.post(url, data=params)
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# Parse the response and display the result
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if response.status_code == 200:
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result_data = response.json()
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st.write(result_data.get("res"))
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else:
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st.error(f"API Error: {response.status_code}. {response.text}")
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except Exception as e:
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st.error(f"Error: {e}")
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