requirements and image demo

app.py

@@ -1,7 +1,18 @@
+import numpy as np
+import torch
+import torch.nn as nn
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+def sepia(input_img):
+    sepia_filter = np.array(
+        [[0.393, 0.769, 0.189], [0.349, 0.686, 0.168], [0.272, 0.534, 0.131]]
+    )
+    sepia_img = input_img.dot(sepia_filter.T)
+    sepia_img /= sepia_img.max()
+    return sepia_img
+
+
+iface = gr.Interface(sepia, gr.inputs.Image(shape=(256, 256)), "image")
+
 iface.launch()

requirements.txt

@@ -0,0 +1 @@
+torch