feat(app): add model evaluation playground

- Adds a new tab for model evaluations and playground with enhanced user interface

feat(dependencies): update python dependencies
- Adds an additional interface of leaderboard on UI
- Adds new dependencies to support enhanced user interface.
- Update requirement.txt returning newline at the end of file
- Returns Video Base Offsetting API using ModelScope and OpenCV libraries for processing

app.py

@@ -248,7 +248,7 @@ def predict_image_with_html(img, confidence_threshold, augment_methods, rotate_d
 with gr.Blocks(css="#post-gallery { overflow: hidden !important;} .grid-wrap{ overflow-y: hidden !important;}") as iface:
     with gr.Accordion("Project OpenSight - Model Evaluations & Playground", open=False, elem_id="project_accordion"):
         gr.Markdown("## OpenSight is a SOTA gen. image detection model, in pre-release prep.\n\nThis HF Space is a temporary home for us and the public to evaluate the shortcomings of current open source models.\n\n<-- Feel free to play around by starting with an image as we prepare our formal announcement.")
-    with gr.Tab("AI Image Detection"):
+    with gr.Tab("👀 Model Evals / Playground"):
         gr.Markdown("# AI Generated Image / Deepfake Detection Models Evaluation")
         
         with gr.Row():
@@ -302,7 +302,7 @@ with gr.Blocks(css="#post-gallery { overflow: hidden !important;} .grid-wrap{ ov
             outputs=[]
         )
 
-    with gr.Tab("Another Interface"):
+    with gr.Tab("🥇 Leaderboard"):
         # Add components for the second interface here
         gr.Markdown("# Another Interface")
         with gr.Sidebar():

requirements.txt

@@ -1,8 +1,10 @@
 gradio
+gradio_leaderboard
 transformers
 huggingface_hub
 torchvision
 torch
 spaces
 pillow
-opencv-python
+opencv-python
+modelscope_studio