change tsne to cosine

app.py

@@ -2109,7 +2109,7 @@ def make_parameters_section(is_lisa=False, model_ratio=True):
         # embedding_method_dropdown = gr.Dropdown(["tsne_3d", "umap_3d", "umap_sphere", "tsne_2d", "umap_2d"], label="Coloring method", value="tsne_3d", elem_id="embedding_method")
         embedding_method_dropdown = gr.Radio(["tsne_3d", "umap_3d", "umap_sphere", "tsne_2d", "umap_2d"], label="Coloring method", value="tsne_3d", elem_id="embedding_method")
         # embedding_metric_dropdown = gr.Dropdown(["euclidean", "cosine"], label="t-SNE/UMAP metric", value="euclidean", elem_id="embedding_metric")
-        embedding_metric_dropdown = gr.Radio(["euclidean", "cosine"], label="t-SNE/UMAP: metric", value="euclidean", elem_id="embedding_metric")
+        embedding_metric_dropdown = gr.Radio(["euclidean", "cosine"], label="t-SNE/UMAP: metric", value="cosine", elem_id="embedding_metric")
         num_sample_tsne_slider = gr.Slider(100, 10000, step=100, label="t-SNE/UMAP: num_sample", value=300, elem_id="num_sample_tsne", info="Nyström approximation")
         knn_tsne_slider = gr.Slider(1, 100, step=1, label="t-SNE/UMAP: KNN", value=10, elem_id="knn_tsne", info="Nyström approximation")
         perplexity_slider = gr.Slider(10, 1000, step=10, label="t-SNE: perplexity", value=150, elem_id="perplexity")
@@ -2986,7 +2986,7 @@ with demo:
                 # embedding_method_dropdown = gr.Dropdown(["tsne_3d", "umap_3d", "umap_sphere", "tsne_2d", "umap_2d"], label="Coloring method", value="tsne_3d", elem_id="embedding_method")
                 embedding_method_dropdown = gr.Radio(["tsne_3d", "umap_3d", "umap_sphere", "tsne_2d", "umap_2d"], label="Coloring method", value="tsne_3d", elem_id="embedding_method")
                 # embedding_metric_dropdown = gr.Dropdown(["euclidean", "cosine"], label="t-SNE/UMAP metric", value="euclidean", elem_id="embedding_metric")
-                embedding_metric_dropdown = gr.Radio(["euclidean", "cosine"], label="t-SNE/UMAP: metric", value="euclidean", elem_id="embedding_metric")
+                embedding_metric_dropdown = gr.Radio(["euclidean", "cosine"], label="t-SNE/UMAP: metric", value="cosine", elem_id="embedding_metric")
                 num_sample_tsne_slider = gr.Slider(100, 10000, step=100, label="t-SNE/UMAP: num_sample", value=300, elem_id="num_sample_tsne", info="Nyström approximation")
                 knn_tsne_slider = gr.Slider(1, 100, step=1, label="t-SNE/UMAP: KNN", value=10, elem_id="knn_tsne", info="Nyström approximation")
                 perplexity_slider = gr.Slider(10, 1000, step=10, label="t-SNE: perplexity", value=150, elem_id="perplexity")