Add application file

app.py

@@ -1,7 +1,19 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_cat(x): return x[0].isupper()
+im = PILImage.create('/dog.jpg')
+im.thumbnail((192,192))
+learn =load_learner('/model.pkl')
+categories = ('dog','cat')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+#gradio interface
+image = gr.inputs.Image(shape=(192,192))
+label=gr.outputs.Label()
+examples=['dog.jpg','cat.jpg','dunno.jpg']
+intf=gr.Interface(fn=classify_image,inputs=image,outputs=label,example=examples)
+intf.launch(inline=False)

flagged/log.csv

@@ -0,0 +1,2 @@
+name,output,flag,username,timestamp
+Heena,Hello Heena!!,,,2022-11-18 11:07:16.642888

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d7e1d7d021324b0226a212571dbc917e00338d152821e3514f991002065886c2
+size 47065195