swap matplotlib backend and use tag

app.py

@@ -5,6 +5,19 @@ from time import time
 from matplotlib import pyplot as plt
 import io
 from PIL import Image, ImageDraw, ImageFont
+import matplotlib
+
+matplotlib.use("Agg")
+
+tag = """
+<script async src="https://www.googletagmanager.com/gtag/js?id=G-T5BQ1GP083"></script>
+<script>
+  window.dataLayer = window.dataLayer || [];
+  function gtag(){dataLayer.push(arguments);}
+  gtag('js', new Date());
+
+  gtag('config', 'G-T5BQ1GP083');
+</script>"""
 
 
 def plot_to_png(fig):
@@ -59,7 +72,10 @@ def generate_relevancy(
         )[0]
     except Exception as e:
         print(e)
-        return [img]
+        return (
+            [img],
+            tag,
+        )
     print("inference took", float(time() - start))
     if subtract_mean:
         grads -= grads.mean(axis=0)
@@ -85,7 +101,10 @@ def generate_relevancy(
         plt.tight_layout(pad=0)
         returns.append(plot_to_png(fig))
         plt.close(fig)
-    return returns
+    return (
+        returns,
+        tag,
+    )
 
 
 iface = gr.Interface(
@@ -108,7 +127,10 @@ This relevancy extractor builds heavily on [Chefer et al.'s codebase](https://gi
         ),
         gr.Checkbox(value=True, label="subtract mean"),
     ],
-    outputs=gr.Gallery(label="Relevancy Maps", type="numpy"),
+    outputs=[
+        gr.Gallery(label="Relevancy Maps", type="numpy"),
+        gr.HTML(value=tag),
+    ],
     examples=[
         [
             "https://semantic-abstraction.cs.columbia.edu/downloads/gameroom.png",