Upload 3 files

app.py

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+import streamlit as st
+from tensorflow.keras.models import load_model
+import numpy as np
+
+model=load_model("model.h5")
+
+st.title("Learn Yield of Wild Blueberries")
+
+y=st.number_input("Yield")
+f=st.number_input("Fruitset")
+s=st.number_input("Seeds")
+fm=st.number_input("Fruitmass")
+ard=st.number_input("Average Raining Days")
+rd=st.number_input("Raining Days")
+c=st.number_input("Clonesize")
+data=[y,f,s,fm,ard,rd,c]
+if st.button("Predict"):
+    data=np.array(data)
+    if len(data.shape) == 1:
+       data = np.expand_dims(data, axis=0) 
+    pred=model.predict(data)
+    st.write(pred)

model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2fe94c6944409a29ea2776838a6d7381648eb371e742d6085c3baa849ae1ddcc
+size 263616

requirements.txt

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+tensorflow
+streamlit
+numpy