Upload app.py

app.py

@@ -5,13 +5,13 @@ import torch
 
 torch.hub.download_url_to_file('https://static01.nytimes.com/newsgraphics/2023-06-08-disinfo-ai-detector/7343d4ca746b7965141e230d94dd4f5f564f2bfb/_assets/elon.jpg', 'elon.png')
 torch.hub.download_url_to_file('https://static01.nytimes.com/newsgraphics/2023-06-08-disinfo-ai-detector/7343d4ca746b7965141e230d94dd4f5f564f2bfb/_assets/pentagon.jpg', 'pentagon.jpg')
-torch.hub.download_url_to_file('https://static01.nytimes.com/newsgraphics/2023-06-08-disinfo-ai-detector/7343d4ca746b7965141e230d94dd4f5f564f2bfb/_assets/split.jpg', 'split.jpg')
 torch.hub.download_url_to_file('https://static01.nytimes.com/newsgraphics/2023-06-08-disinfo-ai-detector/7343d4ca746b7965141e230d94dd4f5f564f2bfb/_assets/horns.jpg', 'horns.jpg')
 torch.hub.download_url_to_file('https://static01.nytimes.com/newsgraphics/2023-06-08-disinfo-ai-detector/7343d4ca746b7965141e230d94dd4f5f564f2bfb/_assets/waves.png', 'waves.jpg')
+torch.hub.download_url_to_file('https://static01.nytimes.com/newsgraphics/2023-06-08-disinfo-ai-detector/7343d4ca746b7965141e230d94dd4f5f564f2bfb/_assets/radcliffe.jpg', 'radcliffe.jpg')
 torch.hub.download_url_to_file('https://static01.nytimes.com/newsgraphics/2023-06-08-disinfo-ai-detector/7343d4ca746b7965141e230d94dd4f5f564f2bfb/_assets/australia.jpg', 'australia.jpg')
 torch.hub.download_url_to_file('https://static01.nytimes.com/newsgraphics/2023-06-08-disinfo-ai-detector/7343d4ca746b7965141e230d94dd4f5f564f2bfb/_assets/yeti.jpeg', 'yeti.jpg')
 torch.hub.download_url_to_file('https://static01.nytimes.com/newsgraphics/2023-06-08-disinfo-ai-detector/7343d4ca746b7965141e230d94dd4f5f564f2bfb/_assets/pollock.jpg', 'pollock.jpg')
-torch.hub.download_url_to_file('https://static01.nytimes.com/newsgraphics/2023-06-08-disinfo-ai-detector/7343d4ca746b7965141e230d94dd4f5f564f2bfb/_assets/painting.png', 'painting.jpg')
+torch.hub.download_url_to_file('https://static01.nytimes.com/newsgraphics/2023-06-08-disinfo-ai-detector/7343d4ca746b7965141e230d94dd4f5f564f2bfb/_assets/man.png', 'man.png')
 
 blip_processor_large = AutoProcessor.from_pretrained("umm-maybe/image-generator-identifier")
 blip_model_large = BlipForConditionalGeneration.from_pretrained("umm-maybe/image-generator-identifier")
@@ -38,10 +38,10 @@ def generate_captions(image):
 
 
    
-examples = [["elon.jpg"], ["pentagon.jpg"], ["split.jpg"], ["horns.jpg"], ["waves.jpg"], ["australia.jpg"], ["yeti.jpg"], ["pollock.jpg"], ["painting.jpg"]]
+examples = [["elon.jpg"], ["pentagon.jpg"], ["horns.jpg"], ["waves.jpg"], ["radcliffe.jpg"], ["australia.jpg"], ["yeti.jpg"], ["pollock.jpg"], ["man.png"]]
 
 title = "Generator Identification via Image Captioning"
-description = "Gradio Demo to illustrate the use of a fine-tuned BLIP image captioning to identify synthetic images.  To use it, simply upload your image and click 'submit', or click one of the examples to load them."
+description = "Gradio Demo to illustrate the use of a fine-tuned BLIP image captioning model to identify synthetic images.  To use it, simply upload your image and click 'submit', or click one of the examples to load them."
 
 interface = gr.Interface(fn=generate_captions, 
                          inputs="image",