Update app.py

app.py

@@ -12,6 +12,10 @@ model = CLIPSegForImageSegmentation.from_pretrained("CIDAS/clipseg-rd64-refined"
 
 app = Flask(__name__)
 
+
+# Define article as a global variable
+article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2112.10003'>CLIPSeg: Image Segmentation Using Text and Image Prompts</a> | <a href='https://huggingface.co/docs/transformers/main/en/model_doc/clipseg'>HuggingFace docs</a></p>"
+
 def process_image(image, prompt):
     inputs = processor(
         text=prompt, images=image, padding="max_length", return_tensors="pt"
@@ -90,6 +94,7 @@ with gr.Blocks() as demo:
         ],
         outputs=[output_image, output_mask],
     )
+
 def run_demo():
     demo.launch()