Update app.py

app.py

@@ -17,3 +17,42 @@ iface = gr.Interface(fn=greet, inputs="text", outputs="text")
 iface.launch()
 
 
+
+PATH_TO_LABELS = 'label_map.pbtxt'   
+category_index = label_map_util.create_category_index_from_labelmap(PATH_TO_LABELS, use_display_name=True)
+
+def pil_image_as_numpy_array(pilimg):
+
+    img_array = tf.keras.utils.img_to_array(pilimg)
+    img_array = np.expand_dims(img_array, axis=0)
+    return img_array
+    
+def load_image_into_numpy_array(path):
+                                    
+    image = None
+    image_data = tf.io.gfile.GFile(path, 'rb').read()
+    image = Image.open(BytesIO(image_data))
+    return pil_image_as_numpy_array(image)            
+
+def load_model():
+    download_dir = snapshot_download()
+    saved_model_dir = os.path.join(download_dir, "saved_model.pb")
+    detection_model = tf.saved_model.load(saved_model_dir)
+    return detection_model
+
+
+def predict(pilimg):
+
+    image_np = pil_image_as_numpy_array(pilimg)
+    return predict2(image_np)
+
+detection_model = load_model()
+# pil_image = Image.open(image_path)
+# image_arr = pil_image_as_numpy_array(pil_image)
+# predicted_img = predict(image_arr)
+# predicted_img.save('predicted.jpg')
+
+gr.Interface(fn=predict,
+             inputs=gr.Image(type="pil"),
+             outputs=gr.Image(type="pil")
+             ).launch(share=True)