Added the interface for the model

app.py

@@ -1,7 +1,27 @@
+!pip install fastai
+from fastai.vision.all import*
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def ECG(x):
+    return x[0].isupper()
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+
+import pathlib
+temp = pathlib.PosixPath
+pathlib.PosixPath = pathlib.WindowsPath
+from pathlib import Path
+
+learn = load_learner(str(Path('model1.pkl')))
+
+categories = ('bradycardia','tachycardia')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['bradycardia-ECG.jpg']
+
+iface = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples = examples)
+iface.launch()

model1.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b3bd4a2299278f52c1d698db7f57e6502cf8ac8580603874a4e0cdd9fafcabbf
+size 46961807