Update app.py

app.py

@@ -15,7 +15,7 @@ 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.hub.download_url_to_file('https://cdn.pixabay.com/photo/2014/03/04/15/10/elephants-279505_1280.jpg', 'elephant.jpg')
 
 torch.set_grad_enabled(False);
 # standard PyTorch mean-std input image normalization
@@ -142,7 +142,7 @@ def plot_inference(im, caption):
 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']]
+examples =[['elephant.jpg','baby elephant']]
 gr.Interface(
     plot_inference, 
     [gr.inputs.Image(type="pil", label="Input"), gr.inputs.Textbox(label="input text")],