Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,25 @@
-import altair as alt
-import numpy as np
-import pandas as pd
-import streamlit as st
+# Run python app.py then copy the local url into a web browser then it should show up
 
-"""
-# Welcome to Streamlit!
+from flask import Flask, render_template, request
+import pickle
 
-Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
+app = Flask(__name__)
+model = pickle.load(open("salary.pkl", "rb"))
 
-In the meantime, below is an example of what you can do with just a few lines of code:
-"""
+@app.route("/")
+def index():
+    return render_template("index.html")
 
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
 
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
 
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
+@app.route("/predict", methods = ["POST"])
+def predict():
+    isim = request.form.get("isim")
+    experience = float(request.form.get("experience"))
+    written = float(request.form.get("written"))
+    interview = float(request.form.get("interview"))
+    guess = model.predict([[experience, written, interview]])
+    return render_template("index.html", guess = "Estimated salary is ${}".format(guess[0]))
 
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
-})
-
-st.altair_chart(alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    ))
+if __name__ == "__main__":
+    app.run(debug = True)