Update app.py

app.py

@@ -12,6 +12,8 @@ from matplotlib import patches,  lines
 from matplotlib.patches import Polygon
 import gradio as gr
 
+torch.hub.download_url_to_file('https://cdn.pixabay.com/photo/2016/05/28/08/32/elephant-1421167_1280.jpg', 'elephant.jpg')
+
 torch.set_grad_enabled(False);
 # standard PyTorch mean-std input image normalization
 transform = T.Compose([
@@ -134,10 +136,10 @@ def plot_inference(im, caption):
   
 
 
-title = "Anime2Sketch"
-description = "demo for Anime2Sketch. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below."
-article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2104.05703'>Adversarial Open Domain Adaption for Sketch-to-Photo Synthesis</a> | <a href='https://github.com/Mukosame/Anime2Sketch'>Github Repo</a></p>"
-
+title = "MDETR"
+description = "Gradio demo for MDETR: Modulated Detection for End-to-End Multi-Modal Understanding. To use it, simply upload your image and add text, or click one of the examples to load them. Read more at the links below."
+article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2104.12763'>MDETR: Modulated Detection for End-to-End Multi-Modal Understanding</a> | <a href='https://github.com/ashkamath/mdetr'>Github Repo</a></p>"
+examples =['elephant.jpg','an elephant']
 gr.Interface(
     plot_inference, 
     [gr.inputs.Image(type="pil", label="Input"), gr.inputs.Textbox(label="input text")], 
@@ -145,4 +147,5 @@ gr.Interface(
     title=title,
     description=description,
     article=article,
+    examples=examples
     ).launch(debug=True)