Update app.py

app.py

@@ -1,3 +1,24 @@
 import gradio as gr
+from transformers import pipeline
 
-gr.load("models/umm-maybe/AI-image-detector").launch()
+pipe = pipeline("image-classification", "umm-maybe/AI-image-detector")
+
+def image_classifier(image):
+    outputs = pipe(image)
+    results = {}
+    for result in outputs:
+        results[result['label']] = result['score']
+    return results
+
+title = "Maybe's AI Art Detector"
+description = """
+This app is a proof-of-concept demonstration of using a ViT model to predict whether an artistic image was generated using AI.
+It was created in October 2022, and as such, the training data did not include any samples generated by Midjourney 5, SDXL, or DALLE-3. It still may be able to correctly identify samples from these more recent models due to being trained on outputs of their predecessors.
+Furthermore the intended scope of this tool is artistic images; that is to say, it is not a deepfake photo detector, and general computer imagery (webcams, screenshots, etc.) may throw it off.
+In general, this tool can only serve as one of many potential indicators that an image was AI-generated. Images scoring as very probably artificial (e.g. 90% or higher) could be referred to a human expert for further investigation, if needed.
+For more information please see the blog post describing this project at:
+https://medium.com/@matthewmaybe/can-an-ai-learn-to-identify-ai-art-545d9d6af226
+"""
+
+demo = gr.Interface(fn=image_classifier, inputs=gr.Image(type="pil"), outputs="label", title=title, description=description)
+demo.launch(show_api=False)