hi

SaudiLandmarkClassifier.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d9c66c5a2d169a62cb1fcbcaf240104778f8efd636fadaefc0df37def5c31ed0
+size 102930582

app.py

@@ -1,7 +1,18 @@
-import gradio as gr
+from fastai.vision.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
+#Windows fix
+import pathlib
+temp = pathlib.PosixPath
+pathlib.PosixPath = pathlib.WindowsPath
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+    
+learn = load_learner('SaudiLandmarkClassifier.pkl') 
+
+def predict(input):
+    # image = gr.Image(height=224,type="pil",image_obj=input)
+    image = PILImage.create(input).resize((224,224))
+    results = learn.predict(image)[0]
+    return results
+
+iface = gr.Interface(fn=predict, inputs="image", outputs="text", examples=['Examples\A.png', 'Examples\B.png', 'Examples\C.png'])
 iface.launch()