Deploy it with already given code

README.md

@@ -1,13 +1,37 @@
 ---
-title: Test Fastai
-emoji: 🐨
-colorFrom: purple
-colorTo: gray
+title: Fastai_pet_classifier
+emoji: 📈
+colorFrom: red
+colorTo: green
 sdk: gradio
-sdk_version: 4.7.1
 app_file: app.py
 pinned: false
-license: apache-2.0
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Configuration
+
+`title`: _string_  
+Display title for the Space
+
+`emoji`: _string_  
+Space emoji (emoji-only character allowed)
+
+`colorFrom`: _string_  
+Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
+
+`colorTo`: _string_  
+Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
+
+`sdk`: _string_  
+Can be either `gradio` or `streamlit`
+
+`sdk_version` : _string_  
+Only applicable for `streamlit` SDK.  
+See [doc](https://hf.co/docs/hub/spaces) for more info on supported versions.
+
+`app_file`: _string_  
+Path to your main application file (which contains either `gradio` or `streamlit` Python code).  
+Path is relative to the root of the repository.
+
+`pinned`: _boolean_  
+Whether the Space stays on top of your list.

app.py

@@ -18,4 +18,3 @@ interpretation='default'
 enable_queue=True
 
 gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,article=article,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()
-

export.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8e9ec4db41f6022fa81786d40905e911ce6a32b2d9801857b62bff5c0e3faed7
-size 103050546
+oid sha256:0beb794ef04b8a26222fbc41514b4a59182538d7dc5e97b90cb0e1217bf3b131
+size 103045845

requirements.txt

@@ -1,2 +1,2 @@
 fastai
-scikit-image
+scikit-image