ADD: gradio model and model pickle file

.gitattributes

@@ -33,3 +33,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+test_data/chennai_2.png filter=lfs diff=lfs merge=lfs -text
+test_data/chennai_3.png filter=lfs diff=lfs merge=lfs -text
+test_data/london_1.png filter=lfs diff=lfs merge=lfs -text
+test_data/london_2.png filter=lfs diff=lfs merge=lfs -text
+test_data/chennai_1.png filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1 @@
+*/.DS_Store

Ey.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9932c642867f6f3ed93212b18636a7cf2a0ed906ce1a925779b2d409be608b87
+size 46965319

app.py

@@ -1,7 +1,27 @@
 import gradio as gr
+from fastai.vision.all import *
+
+nlearn = load_learner('/kaggle/working/eywa_model.pkl')
+
+nlearn.predict('/kaggle/input/help-me/Screenshot 2024-02-08 at 23.19.37.png')
+
+categories = ('Chennai', 'London')
+
+def classify_img(img):
+    pred, idx, prob = nlearn.predict(img)
+    return dict(zip(categories, map(float, prob)))
 
 def greet(name):
     return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+# classify_img('/kaggle/input/help-me/Screenshot 2024-02-08 at 23.19.37.png')
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['test_data/chennai_1.png', 'test_data/chennai_2.png', 'test_data/chennai_3.png', 'test_data/london_1.png', 'test_data/chennai_1.png']
+
+intf = gr.interface(fn=classify_img, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)
+
+# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+# iface.launch()