(Hopefully) Final Touches

- Fix an issue with label erroneously provided to gr.State initialization
- Minor adjustments and optimizations

app.py

@@ -1,11 +1,6 @@
 ##!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 import os
-
-# print("Installing correct gradio version...")
-# os.system("pip install 'gradio>=3.50.0,<3.51.0' 'accelerate>=0.26.0' 'fsspec[http]==2024.6.1' --force-reinstall -q")
-# print("Installing Finished!")
-
 import gradio as gr
 import cv2
 from PIL import Image
@@ -173,9 +168,9 @@ with block:
                     with gr.Tabs(elem_classes=["feedback"]):
                         with gr.TabItem("Input Image"):
                             input_image = gr.Image(type="numpy", label="input",scale=2, height=640)
-                original_image = gr.State(value=None,label="index")
+                original_image = gr.State(value=None)
                 original_mask = gr.State(value=None)
-                selected_points = gr.State([],label="select points")
+                selected_points = gr.State([])
                 with gr.Row(elem_id="Seg"):
                     radio = gr.Radio(['foreground', 'background'], label='Click to seg: ', value='foreground',scale=2)
                     undo_button = gr.Button('Undo seg', elem_id="btnSEG",scale=1)
@@ -184,7 +179,7 @@ with block:
                         label="Negative Prompt",
                         max_lines=5,
                         placeholder="Please input your negative prompt",
-                        value='ugly, low quality',lines=1
+                        value='ugly, low quality, amateur, doodle, sketch',lines=1
                     )
             with gr.Group():
                 with gr.Row():
@@ -198,7 +193,7 @@ with block:
                     )
                 with gr.Group():
                     seed = gr.Slider(
-                        label="Seed: ", minimum=0, maximum=2147483647, step=1, value=551793204
+                        label="Seed: ", minimum=0, maximum=2147483647, step=1, value=694201337
                     )
                     randomize_seed = gr.Checkbox(label="Randomize seed", value=False)
                 
@@ -209,12 +204,12 @@ with block:
                             minimum=1,
                             maximum=12,
                             step=0.1,
-                            value=12,
+                            value=3.5,
                         )
                         num_inference_steps = gr.Slider(
                             label="Number of inference steps",
                             minimum=1,
-                            maximum=50,
+                            maximum=100,
                             step=1,
                             value=50,
                         )
@@ -310,7 +305,7 @@ with block:
         # draw points
         output_mask = None
         if len(sel_pix) != 0:
-            if isinstance(orig_img, int):   # if orig_img is int, the image if select from examples
+            if isinstance(orig_img, int):   # if orig_img is int, select the image from examples
                 temp = cv2.imread(image_examples[orig_img][0])
                 temp = cv2.cvtColor(temp, cv2.COLOR_BGR2RGB)
             else: