Update app.py

app.py

@@ -1,22 +1,36 @@
 import gradio 
 import cv2
 
+#def inference(img, in_bright):
+#    new_img = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
+#    in_bright=1
+#    return new_img
+
+#iface = gradio.Interface(
+#  fn=inference,
+#  inputs=['image',gradio.Slider(0,100)],
+#  outputs='image',
+#  title='Change Image', 
+#  description='Interface!',
+#  examples=["llama.jpg"])  
+
+#iface.launch()
+
+import gradio as gr
+
+def greet(image, name, is_morning, temperature):
+    salutation = "Good morning" if is_morning else "Good evening"
+    greeting = f"{salutation} {name}. It is {temperature} degrees today"
+    celsius = (temperature - 32) * 5 / 9
+    return greeting, round(celsius, 2)
+
+demo = gr.Interface(
+    fn=greet,
+    inputs=['image',"text", "checkbox", gr.Slider(0, 100)],
+    outputs=['image',"text", "number"],
+)
+demo.launch()
+
+
 
-def inference(img, in_bright):
-    new_img = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
-    in_bright=1
-    return new_img
-
-# For information on Interfaces, head to https://gradio.app/docs/
-# For user guides, head to https://gradio.app/guides/
-# For Spaces usage, head to https://huggingface.co/docs/hub/spaces
-iface = gradio.Interface(
-  fn=inference,
-  inputs=['image',gradio.Slider(0,100)],
-  outputs='image',
-  title='Change Image', 
-  description='Interface!',
-  examples=["llama.jpg"])  
-
-iface.launch()