Create app.py

app.py

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+
+import app as st
+from keras.models import load_model
+import numpy as np
+
+model=load_model("crop_prediction_model.h5",compile=True)
+
+labels=["Tomato Bacterial Spot","Early Blight","Healthy","Late Blight","Leaf Mold","Tomato Septoria leaf spot", "Tomato___Spider_mites Two spotted spider mite","Tomato___Target_Spot","Tomato___Tomato_mosaic_virus", "Tomato___Tomato_Yellow_Leaf_Curl_Virus"]
+
+def classify_image(img):
+    img = img.reshape((-1, 256, 256, 3))
+    type=predict_crop(img)
+    return type
+
+def predict_crop(img):
+    crop_class=model.predict(img)
+    index=np.argmax(crop_class)
+    label=labels[index]
+    return label
+
+img = st.camera_input("Take a picture")
+
+if img:
+    class_of_plant=classify_image(img)
+    st.write(class_of_plant)
+else :
+    st.write("Image is not clear.")