Upload 3 files

app.py

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+import joblib
+import pandas as pd
+import streamlit as st 
+import datetime
+
+EPL_DICT = {'Matchweek 1': 1,
+            'Matchweek 2': 2,
+            'Matchweek 3': 3,
+            'Matchweek 4': 4,
+            'Matchweek 5': 5,
+            'Matchweek 6': 6,
+            'Matchweek 7': 7,
+            'Matchweek 8': 8,
+            'Matchweek 9': 9,
+            'Matchweek 10': 10,
+            'Matchweek 11': 11,
+            'Matchweek 12': 12,
+            'Matchweek 13': 13,
+            'Matchweek 14': 14,
+            'Matchweek 15': 15,
+            'Matchweek 16': 16,
+            'Matchweek 17': 17,
+            'Matchweek 18': 18,
+            'Matchweek 19': 19,
+            'Matchweek 20': 20,
+            'Matchweek 21': 21,
+            'Matchweek 22': 22,
+            'Matchweek 23': 23,
+            'Matchweek 24': 24,
+            'Matchweek 25': 25,
+            'Matchweek 26': 26,
+            'Matchweek 27': 27,
+            'Matchweek 28': 28,
+            'Matchweek 29': 29,
+            'Matchweek 30': 30,
+            'Matchweek 31': 31,
+            'Matchweek 32': 32,
+            'Matchweek 33': 33,
+            'Matchweek 34': 34,
+            'Matchweek 35': 35,
+            'Matchweek 36': 36,
+            'Matchweek 37': 37,
+            'Matchweek 38': 38
+            }
+
+model = joblib.load('model.joblib')
+unique_values = joblib.load('unique_values.joblib')
+   
+unique_comp	 =  unique_values["comp"]
+unique_round =  unique_values["round"]
+unique_venue =  unique_values["venue"]
+unique_team =  unique_values["team"]
+unique_opponent = unique_values["opponent"]
+
+def main():
+    st.title("Premier League Analysis")
+
+    with st.form("questionaire"):
+        time = st.time_input("Match Time")
+        comp = st.selectbox("Comp", unique_comp)
+        round = st.selectbox("Round", unique_round)
+        venue = st.radio(
+            "Does your team play away or home?",
+            ["***Away***", "***Home***"],
+            captions = ["Your team plays away.", "your team plays at home."])
+        if venue == '***Away***':
+            st.write('You selected Away.')
+        else:
+            st.write("You selected Home.")
+        team = st.selectbox("Your Team", unique_team)
+        opponent = st.selectbox("Your Opponent", unique_opponent)
+
+        clicked = st.form_submit_button("Predict Result")
+        if clicked:
+            result=model.predict(pd.DataFrame({"time": [time],
+                                               "comp": [comp],
+                                               "round": [EPL_DICT[round]],
+                                               "venue": [venue],
+                                               "team": [team],
+                                               "opponent": [opponent]}))
+            result = 'W' if result[0] == 1 else 'L'
+            st.success('The predicted result is {}'.format(result))
+
+if __name__=='__main__':
+    main()

model.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7b1563f7b8a8b47182e109015f2644bd62965987413c32f962b1765a8df0f080
+size 223643

unique_values.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6a1170c08ecfcbb18fe25cb428ec0c5ca051a56cb9862c01716e05fb9800a206
+size 3091