Add base UI

app.py

@@ -0,0 +1,48 @@
+import gradio as gr
+import os
+
+from modules.sam_inference import SamInference
+from modules.model_downloader import DEFAULT_MODEL_TYPE
+from modules.paths import OUTPUT_DIR
+from modules.utils import open_folder
+
+sam_inf = SamInference()
+
+with gr.Blocks() as app:
+    with gr.Row():
+        with gr.Column(scale=5):
+            img_input = gr.Image(label="Input image here")
+        with gr.Column(scale=5):
+            dd_models = gr.Dropdown(label="Model", value=DEFAULT_MODEL_TYPE, choices=sam_inf.available_models)
+            nb_points_per_side = gr.Number(label="points_per_side ", value=64)
+            nb_points_per_batch = gr.Number(label="points_per_batch ", value=128)
+            sld_pred_iou_thresh = gr.Slider(label="pred_iou_thresh ", value=0.7, minimum=0, maximum=1)
+            sld_stability_score_thresh = gr.Slider(label="stability_score_thresh ", value=0.92, minimum=0,
+                                                   maximum=1)
+            sld_stability_score_offset = gr.Slider(label="stability_score_offset ", value=0.7, minimum=0,
+                                                   maximum=1)
+            nb_crop_n_layers = gr.Number(label="crop_n_layers ", value=1)
+            sld_box_nms_thresh = gr.Slider(label="box_nms_thresh ", value=0.7, minimum=0,
+                                           maximum=1)
+            nb_crop_n_points_downscale_factor = gr.Number(label="crop_n_points_downscale_factor ", value=2)
+            nb_min_mask_region_area = gr.Number(label="min_mask_region_area ", value=25)
+            cb_use_m2m = gr.Checkbox(label="use_m2m ", value=True)
+
+    with gr.Row():
+        btn_generate = gr.Button("GENERATE", variant="primary")
+    with gr.Row():
+        gallery_output = gr.Gallery(label="Output images will be shown here")
+        with gr.Column():
+            output_file = gr.File(label="Generated psd file", scale=8)
+            btn_open_folder = gr.Button("📁\nOpen PSD folder", scale=2)
+
+    params = [nb_points_per_side, nb_points_per_batch, sld_pred_iou_thresh, sld_stability_score_thresh,
+              sld_stability_score_offset,
+              nb_crop_n_layers, sld_box_nms_thresh, nb_crop_n_points_downscale_factor, nb_min_mask_region_area,
+              cb_use_m2m]
+    btn_generate.click(fn=sam_inf.generate_mask_app,
+                       inputs=[img_input, dd_models] + params, outputs=[gallery_output, output_file])
+    btn_open_folder.click(fn=lambda: open_folder(os.path.join(OUTPUT_DIR)),
+                          inputs=None, outputs=None)
+
+app.queue().launch(inbrowser=True)