Add application file

app.py

@@ -0,0 +1,23 @@
+import gradio as gr 
+import tensorflow as tf:
+
+def load_model():
+    model = tf.keras.models.load_model("model.h5")
+    return model
+
+# from keras.preprocessing import image
+def predict(image):
+    test_image = tf.keras.utils.load_img(image, target_size = (250,250,3)) 
+    test_image = tf.keras.utils.img_to_array(test_image)
+    test_image = np.expand_dims(test_image, axis = 0)
+# print(test_image[:1])
+#predict the resut
+    pred,probab = model_.predict_accident(test_image)
+    return pred
+
+image = gr.inputs.Image()
+outputs = gr.outputs.Textbox()
+
+demo = gr.Interface(fn=predict , inputs=image, outputs="text")
+demo.launch()
+