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.gitattributes

@@ -25,7 +25,6 @@
 *.safetensors filter=lfs diff=lfs merge=lfs -text
 saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
 *.tflite filter=lfs diff=lfs merge=lfs -text
 *.tgz filter=lfs diff=lfs merge=lfs -text
 *.wasm filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,10 +1,10 @@
 ---
 title: Animal Image Classifier
-emoji: 📚
+emoji: 🌍
 colorFrom: pink
-colorTo: red
+colorTo: pink
 sdk: gradio
-sdk_version: 4.24.0
+sdk_version: 3.20.1
 app_file: app.py
 pinned: false
 license: apache-2.0

app.py

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+import gradio as gr
+from tensorflow import image
+from keras import models
+import numpy as np
+from PIL import Image
+import pandas as pd
+
+# st.title("Animal Image :violet[Classifier] 🐶😺🐼")
+
+model = models.load_model("model.h5")
+pets = ["Cat", "Dog", "Panda"]
+
+def image_classifier(jpg):
+    try:
+        resize= image.resize(jpg,(256,256)) 
+        dim= np.expand_dims(resize, axis=0)
+        pred= model.predict(dim) #[0.23, 0.987,0.546]
+        arg= np.argmax(pred)  # finds the maximum value and returns the index  
+        return pets[arg]
+    except:
+        return "Unsupported File Format"
+
+
+app = gr.Interface(title="Animal Image Classifier 😺🐶🐼",fn=image_classifier, inputs="image", outputs="label")
+app.launch()

model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:dde243d32e0cc3d7e69480cb9ba84ca109287d2bf346eb5d119371aaea6535f0
+size 2283208

requirements.txt

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+pandas
+numpy
+matplotlib
+tensorflow
+gradio

tempCodeRunnerFile.python

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+i = 0
+
+i+=1