Upload app.py

app.py

@@ -1,7 +1,29 @@
+from fastai.vision.all import *
+import requests
+from fastdownload import download_url
+from duckduckgo_search import ddg_images
+from fastcore.all import *
+from fastai.vision.all import download_images
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('resnet18_model.pkl')
+
+categories = ('White','Black')
+
+
+
+def classify_image(image):
+    is_people,_,probs = learn.predict(PILImage.create(image))
+    return dict(zip(categories,map(float,probs)))
+
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples=['Black people.jpg','white people.jpg']
+
+intf =gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples)
+intf.launch(inline=False)
+
+
+
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()