Add application file

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+import tensorflow as tf
+import os
+
+def create_path_name(file_path, folder_path):
+    return folder_path + file_path
+
+path_monkeyPox = "./data/Original Images/Original Images/Monkey Pox/"
+path_other = "./data/Original Images/Original Images/Others/"
+monkeyPox_data = list(map(lambda x : create_path_name(x,path_monkeyPox), os.listdir(path_monkeyPox)))
+other_data = list(map(lambda x : create_path_name(x,path_other), os.listdir(path_other)))
+
+model = tf.keras.models.load_model('./monkey pox_82.75.h5')
+
+def classify_image(img):
+    img = img.reshape((-1,224,224,3))
+    prediction = model.predict(img).flatten()
+    confidences = {'monkeypox': float(prediction[0]), 'other':float(prediction[1])}
+    return confidences
+
+gr.Interface(fn=classify_image,
+             inputs=gr.Image(shape=(224,224)),
+             outputs=gr.Label(),
+             examples=[monkeyPox_data[0], monkeyPox_data[1], other_data[0], other_data[1]]
+             ).launch()