updated interface

app.py

@@ -68,6 +68,7 @@ with gr.Blocks() as block:
                 datatype=DATA_TITLE_TYPE,
                 interactive=False,
                 visible=True,
+                max_height=2400, 
             )
             
             refresh_button = gr.Button("Refresh")

results.csv

@@ -27,4 +27,4 @@ LLaVE-0.5B,0.894,Self-Reported,59.1,57.4,50.3,59.8,82.9
 UniME(LLaVA-OneVision-7B-LoRA-Res336),8.03,Self-Reported,70.7,66.8,66.6,70.5,90.9
 UniME(LLaVA-1.6-7B-LoRA-LowRes),7.57,Self-Reported,66.6,60.6,52.9,67.9,85.1
 UniME(Phi-3.5-V-LoRA),4.2,Self-Reported,64.2,54.8,55.9,64.5,81.8
-QQMM-embed,8.297,Self-Reported,72.175,70.07,69.52,71.175,87.075
+QQMM-embed,8.297,Self-Reported,72.175,70.07,69.52,71.175,87.075

urls.csv

@@ -0,0 +1,24 @@
+Models,URL
+clip-vit-large-patch14,https://huggingface.co/openai/clip-vit-large-patch14
+blip2-opt-2.7b,https://huggingface.co/Salesforce/blip2-opt-2.7b
+siglip-base-patch16-224,https://huggingface.co/google/siglip-base-patch16-224
+open_clip-ViT-L/14,https://github.com/mlfoundations/open_clip
+e5-v,https://huggingface.co/royokong/e5-v
+Magiclens,https://github.com/google-deepmind/magiclens
+MMRet,https://huggingface.co/JUNJIE99/MMRet-large
+VLM2Vec-Phi-3.5-v,https://huggingface.co/TIGER-Lab/VLM2Vec-Full
+VLM2Vec,https://github.com/TIGER-AI-Lab/VLM2Vec
+VLM2Vec (Qwen2-VL-7B-LoRA-HighRes),https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-7B
+VLM2Vec (Qwen2-VL-2B-LoRA-HighRes),https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-2B
+UniIR,https://huggingface.co/TIGER-Lab/UniIR
+OpenCLIP-FT,https://doi.org/10.48550/arXiv.2212.07143
+CLIP-FT,https://doi.org/10.48550/arXiv.2103.00020
+mmE5,https://huggingface.co/intfloat/mmE5-mllama-11b-instruct
+gme-Qwen2-VL-2B-Instruct,https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-2B-Instruct
+MM-Embed,https://huggingface.co/nvidia/MM-Embed
+LLaVE-7B,https://huggingface.co/zhibinlan/LLaVE-7B
+LLaVE-2B,https://huggingface.co/zhibinlan/LLaVE-2B
+LLaVE-0.5B,https://huggingface.co/zhibinlan/LLaVE-0.5B
+UniME(LLaVA-OneVision-7B-LoRA-Res336),https://huggingface.co/DeepGlint-AI/UniME-LLaVA-OneVision-7B
+UniME(LLaVA-1.6-7B-LoRA-LowRes),https://huggingface.co/DeepGlint-AI/UniME-LLaVA-1.6-7B
+UniME(Phi-3.5-V-LoRA),https://huggingface.co/DeepGlint-AI/UniME-Phi3.5-V-4.2B

utils.py

@@ -101,31 +101,8 @@ Github link: https://github.com/TIGER-AI-Lab/VLM2Vec. \n
 Please send us an email at [email protected], attaching the JSON file. We will review your submission and update the leaderboard accordingly.
 """
 
-MODEL_URLS = {
-    "clip-vit-large-patch14": "https://huggingface.co/openai/clip-vit-large-patch14", 
-    "blip2-opt-2.7b": "https://huggingface.co/Salesforce/blip2-opt-2.7b",
-    "siglip-base-patch16-224": "https://huggingface.co/google/siglip-base-patch16-224", 
-    "open_clip-ViT-L/14": "https://github.com/mlfoundations/open_clip", 
-    "e5-v": "https://huggingface.co/royokong/e5-v", 
-    "Magiclens": "https://github.com/google-deepmind/magiclens",
-    "MMRet": "https://huggingface.co/JUNJIE99/MMRet-large", 
-    "VLM2Vec-Phi-3.5-v": "https://huggingface.co/TIGER-Lab/VLM2Vec-Full",
-    "VLM2Vec": "https://github.com/TIGER-AI-Lab/VLM2Vec", 
-    "VLM2Vec (Qwen2-VL-7B-LoRA-HighRes)": "https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-7B", 
-    "VLM2Vec (Qwen2-VL-2B-LoRA-HighRes)": "https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-2B", 
-    "UniIR": "https://huggingface.co/TIGER-Lab/UniIR", 
-    "OpenCLIP-FT": "https://doi.org/10.48550/arXiv.2212.07143", 
-    "CLIP-FT": "https://doi.org/10.48550/arXiv.2103.00020", 
-    "mmE5": "https://huggingface.co/intfloat/mmE5-mllama-11b-instruct", 
-    "gme-Qwen2-VL-2B-Instruct": "https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-2B-Instruct", 
-    "MM-Embed": "https://huggingface.co/nvidia/MM-Embed", 
-    "LLaVE-7B": "https://huggingface.co/zhibinlan/LLaVE-7B", 
-    "LLaVE-2B": "https://huggingface.co/zhibinlan/LLaVE-2B", 
-    "LLaVE-0.5B": "https://huggingface.co/zhibinlan/LLaVE-0.5B", 
-    "UniME(LLaVA-OneVision-7B-LoRA-Res336)": "https://huggingface.co/DeepGlint-AI/UniME-LLaVA-OneVision-7B", 
-    "UniME(LLaVA-1.6-7B-LoRA-LowRes)": "https://huggingface.co/DeepGlint-AI/UniME-LLaVA-1.6-7B", 
-    "UniME(Phi-3.5-V-LoRA)": "https://huggingface.co/DeepGlint-AI/UniME-Phi3.5-V-4.2B"
-}
+MODEL_URLS = pd.read_csv("urls.csv")
+MODEL_URLS = dict(zip(MODEL_URLS['Models'], MODEL_URLS['URL']))
 
 def create_hyperlinked_names(df):
     def convert_url(url, model_name):