Create app.py

app.py

@@ -0,0 +1,26 @@
+import numpy as np
+import gradio as gr
+from roboflow import Roboflow
+from PIL import Image
+
+def obj(input_img):
+    #load model
+    rf = Roboflow(api_key="u5HA4Ou9LROqjjWJYSJV")
+    project = rf.workspace("modzie-work").project("bmd-result")    
+    model = project.version(1).model
+
+    #save to .jpg
+    img = Image.fromarray(input_img, "RGB")
+    img.save("image_filename.jpg")
+    image_save_test = 'image_filename.jpg'
+
+    #predict
+    obj_result = model.predict(image_save_test, confidence=40, overlap=30).json()['predictions'][0]['class']
+    if obj_result == "Low Bone":
+      obj_result = "Osteopenia"
+
+    
+    return obj_result
+
+demo = gr.Interface(obj, "image", "text")
+demo.launch()