Create app.py

app.py

@@ -0,0 +1,23 @@
+import streamlit as st
+import os
+
+# Load the model
+model = keras.models.load_model("./model.h5")
+
+# Create a function to make predictions
+def predict(image):
+    prediction = model.predict(image)
+    return prediction
+
+# Create a Streamlit app
+st.title("Bone Fracture Detection")
+
+# Upload an image
+image = st.file_uploader("Upload an image of a bone fracture")
+
+# If an image is uploaded, make a prediction
+if image is not None:
+    image = image.read()
+    prediction = predict(image)
+    st.write("The prediction is:", prediction)
+