updated streamlit and requirements

streamlit.py

@@ -8,6 +8,7 @@ from keras.preprocessing import image
 #docker build -t streamlit
 # docker compose up
 
+model = tf.keras.models.load_model("cnnBoneFracRec.h5")
 st.markdown("## Bone Fracture Recognition with TensorFlow")
 
 
@@ -20,8 +21,6 @@ image_file = st.file_uploader("Upload X-Ray Image", type=['png', 'jpg'])
 if image_file:
     st.image(image_file, caption=None, width=None, use_column_width=None, clamp=False, channels="RGB", output_format="auto")
 
-
-    model = tf.keras.models.load_model("cnnBoneFracRec.h5")
     target_names = ['Non-Fractured', 'Fractured']
     temp_img = image.load_img(image_file, target_size=(100, 100))
     x = image.img_to_array(temp_img)