https://huggingface.co/spaces/Saad123/minimal

app.py

@@ -1,7 +1,25 @@
+from fastai.vision.all import *
+import pathlib
+import numpy as np
+import cv2
+from PIL import image
+
+plt = platform.system()
+if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath
+learn=load_learner("CatvsDogmodel.pkl")
+categories=('Cat','Dog')
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
 import gradio as gr
+image=gr.inputs.Image(shape=(224, 224))
+
+image = cv2.imread(image)
+Image.open(image)
+image = image/255
+image = np.reshape(image, [1,224,224,3])
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+label=gr.outputs.Label()
+intf=gr.Interface(fn=classify_image, inputs=image, outputs=label)
+intf.launch(inline=False)

requirements.txt

@@ -0,0 +1,9 @@
+numpy 
+matplotlib.pyplot 
+tensorflow 
+tensorflow_hub 
+cv2
+PIL
+Image
+pickle
+gradio