Update app.py

app.py

@@ -151,16 +151,23 @@ def create_tags(image, threshold):
     return text_no_impl, tag_score
 
 with gr.Blocks() as demo:
-    with gr.Tab("Single Image"):
-        gr.Interface(
-            create_tags,
-            inputs=[gr.Image(label="Source", sources=['upload', 'webcam'], type='pil'), gr.Slider(minimum=0.00, maximum=1.00, step=0.01, value=0.30, label="Threshold")],
-            outputs=[
-                gr.Textbox(label="Tag String"),
-                gr.Label(label="Tag Predictions", num_top_classes=200),
-            ],
-            allow_flagging="never",
-        )
+    gr.Markdown("""
+    ## Joint Tagger Project: PILOT Demo
+    This tagger is designed for use on furry images (though may very well work on out-of-distribution images, potentially with funny results).  A threshold of 0.2 is recommended.  Lower thresholds often turn up more valid tags, but can also result in some amount of hallucinated tags.
+
+    This tagger is the result of joint efforts between members of the RedRocket team.
+
+    Special thanks to Minotoro at frosting.ai for providing the compute power for this project.
+    """)
+    gr.Interface(
+        create_tags,
+        inputs=[gr.Image(label="Source", sources=['upload', 'webcam'], type='pil'), gr.Slider(minimum=0.00, maximum=1.00, step=0.01, value=0.20, label="Threshold")],
+        outputs=[
+            gr.Textbox(label="Tag String"),
+            gr.Label(label="Tag Predictions", num_top_classes=200),
+        ],
+        allow_flagging="never",
+    )
 
 if __name__ == "__main__":
     demo.launch()