app.py

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)