added model and updated ui

app.py

@@ -1,7 +1,18 @@
 import gradio as gr
+from fastai.vision.all import *
 
-def greet(name):
-	return "Hello " + name + "!!"
+learn = load_learner('/kaggle/input/datadump/model.pkl')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+labels = learn.dls.vocab
+def predict(img):
+	img = PILImage.create(img)
+	pred,pred_idx,probs = learn.predict(img)
+	return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+title = "Weather Classifier"
+description = "A classifer trained to predict the weather in an image. Created as a demo for Gradio and HuggingFace Spaces."
+examples = [['./lightning.jpeg'],['./rain.jpeg'],['./snow.jpeg']]
+interpretation='default'
+enable_queue=True
+
+gr.Interface(fn=predict,inputs=gr.components.Image(shape=(512, 512)),outputs=gr.components.Label(num_top_classes=11),title=title,description=description,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8c0bd1ab98cc4acbd043dfadb4535b1f2a4ea4cec56bb579f18da90a28f527c2
+size 47090671