Upload 3 files

app.py

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+import streamlit as st
+import pickle
+import numpy as np
+
+st.title("COVID19 GLOBAL FORECAST")
+coc=st.number_input("Confirmed Cases")
+lat=st.number_input("Latitude")
+lon=st.number_input("Longitude")
+model_selection=st.radio("Select your model",("Regression","Classification"))
+if model_selection is "Regression":
+    file_path = 'covid1_model.pkl'
+    with open(file_path, 'rb') as file:
+        model = pickle.load(file)
+    data=[coc,lat,lon]
+    if st.button("Predict"):
+       data=np.array(data)
+       if len(data.shape) == 1:
+          data = np.expand_dims(data, axis=0) 
+       prediction=model.predict(data)
+       st.write(prediction)
+else:
+    file_path = 'covid2_model2.pkl'
+    with open(file_path, 'rb') as file:
+        model = pickle.load(file)
+    data=[lat,lon]
+    if st.button("Predict"):
+       data=np.array(data)
+       if len(data.shape) == 1:
+          data = np.expand_dims(data, axis=0)
+    prediction=model.predict(data)
+    pred=np.argmax(prediction)
+    st.write(pred)

covid1_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ab9618123e254d30b15681e130b827c29796788d0b2314d95e30300ceadbb4a0
+size 40681

covid2_model2.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bff2f9fafbad375bd5907c13c5b847844f97fd38b5e61be0ff47eb76581d7d12
+size 3847020