let's try a classifier first

README.md

@@ -1,5 +1,5 @@
 ---
-title: Mobilevit Deeplab Demo
+title: MobileViT Deeplab Demo
 emoji: 🚀
 colorFrom: red
 colorTo: pink

app.py

@@ -1,8 +1,15 @@
 import gradio as gr
+from transformers import pipeline
 
-def greet(name):
-    return "Hello " + name + "!!"
+pipeline = pipeline(task="image-classification", model="apple/mobilevit-small")
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def predict(image):
+  predictions = pipeline(image)
+  return {p["label"]: p["score"] for p in predictions}
 
+gr.Interface(
+    fn=predict,
+    inputs=gr.inputs.Image(label="Upload image", type="filepath"),
+    outputs=gr.outputs.Label(num_top_classes=5),
+    title="This is a title",
+).launch()

requirements.txt

@@ -0,0 +1,2 @@
+transformers
+torch