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from ui_constants import column_names | |
from sotopia_space.constants import MODEL_INFO | |
def make_clickable_model(model_name): | |
global MODEL_INFO | |
if model_name in MODEL_INFO: | |
if MODEL_INFO[model_name]["hf_model_id"].startswith("http"): | |
link = MODEL_INFO[model_name]["hf_model_id"] | |
return f'π <a target="_blank" href="{link}" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">{MODEL_INFO[model_name]["pretty_name"]}</a>' | |
else: | |
link = f"https://huggingface.co/{MODEL_INFO[model_name]['hf_model_id']}" | |
return f'π₯ <a target="_blank" href="{link}" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">{MODEL_INFO[model_name]["pretty_name"]}</a>' | |
else: | |
return model_name | |
# Formats the columns | |
def formatter(x): | |
if type(x) is str: | |
x = x | |
else: | |
x = round(x, 2) | |
return x | |
def post_processing(df, model_len_info): | |
if model_len_info: | |
df["Length"] = df["model_name"].apply(lambda x: model_len_info[x]["avg_len"]) | |
for col in df.columns: | |
if col == "model_name": | |
df[col] = df[col].apply(lambda x: x.replace(x, make_clickable_model(x))) | |
else: | |
df[col] = df[col].apply(formatter) # For numerical values | |
df.rename(columns=column_names, inplace=True) | |
df.sort_values(by="GOAL [0, 10]", inplace=True, ascending=False) | |
# put the "Overall Elo" and "Task-Avg Elo" column to the front | |
# add the length info | |
df = df[["model_name", "GOAL [0, 10]"] + [col for col in df.columns if col not in ["model_name", "GOAL [0, 10]"]]] | |
return df | |