From 24aae1d59a245db405571c4b50b81249606eea6b Mon Sep 17 00:00:00 2001 From: Blaise Date: Mon, 9 Dec 2024 20:57:32 +0100 Subject: [PATCH] Remove models search --- tabs/download/download.py | 32 -------------------------------- 1 file changed, 32 deletions(-) diff --git a/tabs/download/download.py b/tabs/download/download.py index 1968dbd9..ca0550ca 100644 --- a/tabs/download/download.py +++ b/tabs/download/download.py @@ -58,24 +58,6 @@ def save_drop_model(dropbox): return None -def search_models(name): - url = f"https://cjtfqzjfdimgpvpwhzlv.supabase.co/rest/v1/models?name=ilike.%25{name}%25&order=created_at.desc&limit=15" - headers = { - "apikey": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6ImNqdGZxempmZGltZ3B2cHdoemx2Iiwicm9sZSI6ImFub24iLCJpYXQiOjE3MjY5MjYxMzQsImV4cCI6MjA0MjUwMjEzNH0.OyDXlhvH6D-IsHiWhPAGUtsPGGUvWQynfxUeQwfYToE" - } - response = requests.get(url, headers=headers) - data = response.json() - if len(data) == 0: - gr.Info(i18n("We couldn't find models by that name.")) - return None - else: - df = pd.DataFrame(data)[["name", "link", "epochs", "type"]] - df["link"] = df["link"].apply( - lambda x: f'{x}' - ) - return df - - json_url = "https://huggingface.co/IAHispano/Applio/raw/main/pretrains.json" @@ -222,20 +204,6 @@ def download_tab(): inputs=[dropbox], outputs=[dropbox], ) - gr.Markdown(value=i18n("## Search Model")) - search_name = gr.Textbox( - label=i18n("Model Name"), - placeholder=i18n("Introduce the model name to search."), - interactive=True, - ) - search_table = gr.Dataframe(datatype="markdown") - search = gr.Button(i18n("Search")) - search.click( - fn=search_models, - inputs=[search_name], - outputs=[search_table], - ) - search_name.submit(search_models, [search_name], search_table) gr.Markdown(value=i18n("## Download Pretrained Models")) pretrained_model = gr.Dropdown( label=i18n("Pretrained"),