add model descriptions

README.md

@@ -1,5 +1,5 @@
 ---
-title: PUIL ML Model Experiments
+title: PUIL3300 Model "Forensics" Experiments
 emoji: 🌴🦤
 colorFrom: blue
 colorTo: red

app.py

@@ -58,13 +58,14 @@ def run_clip(files, word0, word1=""):
 
 
 examples = [
-  ("colorful painted portrait of person", "gray painted portrait of person"),
-  ("painted portrait of young person", "painted portrait of old person"),
+  ("painted portrait young person", "painted portrait old person"),
+  ("painted portrait happy person", "painted portrait worried person"),
 ]
 
 with gr.Blocks() as demo:
   gr.Interface(
     title="Object Detection",
+    description="[DETR](https://huggingface.co/facebook/detr-resnet-50) model from facebook (2020), trained on [COCO 2017](https://github.com/amikelive/coco-labels/blob/master/coco-labels-2014_2017.txt) dataset and labels.",
     api_name="object",
     fn=run_detr,
     inputs=gr.Image(type="pil"),
@@ -74,6 +75,7 @@ with gr.Blocks() as demo:
 
   gr.Interface(
     title="Zero-Shot Object Detection",
+    description="[OWLv2](https://huggingface.co/google/owlv2-large-patch14-ensemble) model from google (2023).",
     api_name="zero",
     fn=run_owl,
     inputs=[gr.Image(type="pil"), gr.Textbox(label="Object", show_label=True)],
@@ -83,11 +85,12 @@ with gr.Blocks() as demo:
 
   gr.Interface(
     title="Contrastive Embedding",
+    description="[CLIP](https://huggingface.co/openai/clip-vit-large-patch14) model from openai (2021).",
     api_name="clip",
     fn=run_clip,
     inputs=[gr.File(file_count="multiple"),
-            gr.Textbox(label="1st Description", show_label=True),
-            gr.Textbox(label="2nd Description", show_label=True)],
+            gr.Textbox(label="1st Descriptor", show_label=True),
+            gr.Textbox(label="2nd Descriptor", show_label=True)],
     outputs=gr.Image(format="jpeg"),
     flagging_mode="never",
   )