Upload 3 files

app.py

@@ -0,0 +1,21 @@
+import streamlit as st
+from tensorflow.keras.models import load_model
+import numpy as np
+
+model=load_model("model.h5")
+
+di=st.number_input("Deteriorating Infrastructure")
+mi=st.number_input("Monsoon Intensity")
+dq=st.number_input("Dams Quality")
+td=st.number_input("Topography Drainage")
+rm=st.number_input("River Management")
+s=st.number_input("Siltation")
+ps=st.number_input("Population Score")
+l=st.number_input("Landslides")
+data=[di,mi,dq,td,rm,s,ps,l]
+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)

model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0becc464582f288c4b0e63c74a811e13139f2b019179ef171874e345063d1a43
+size 266496

requirements.txt

@@ -0,0 +1,3 @@
+streamlit
+tensorflow
+numpy