making it work

app.py

@@ -17,9 +17,7 @@ sys.path.append('/home/user/app/code')
 # os.system('git clone https://github.com/BachiLi/diffvg.git')
 os.system('git submodule update --init')
 os.chdir('diffvg')
-print(os.getcwd())
 os.system('git submodule update --init --recursive')
-print(os.getcwd())
 os.system('python setup.py install --user')
 sys.path.append("/home/user/.local/lib/python3.8/site-packages/diffvg-0.0.1-py3.8-linux-x86_64.egg")
 
@@ -32,8 +30,7 @@ from diffusers import StableDiffusionPipeline
 device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
 
 model = None 
-model = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5",
-                                               torch_dtype=torch.float16).to(device)
+model = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16).to(device)
 
 from typing import Mapping
 from tqdm import tqdm
@@ -69,7 +66,7 @@ pydiffvg.set_print_timing(False)
 gamma = 1.0
 
 
-def set_config(semantic_concept, word, letter, font_name, num_steps):
+def set_config(semantic_concept, word, font_name, num_steps):
     
     cfg_d = edict()
     cfg_d.config = "code/config/base.yaml"
@@ -91,7 +88,7 @@ def set_config(semantic_concept, word, letter, font_name, num_steps):
 
     cfg.semantic_concept = semantic_concept
     cfg.word = word
-    cfg.optimized_letter = letter
+    cfg.optimized_letter = word
     cfg.font = font_name
     cfg.seed = 0
     cfg.num_iter = num_steps
@@ -246,6 +243,11 @@ def run_main_app(semantic_concept, word, letter, font_name, num_steps, example=0
     yield gr.update(value=filename_init,visible=True),gr.update(visible=False),gr.update(value=image,visible=True)
  
 
+def change_prompt(concept, prompt_suffix):
+    if concept == "":
+        concept = "{concept}"
+    return f"a {concept}. {prompt_suffix}"
+
 with gr.Blocks() as demo:
 
     gr.HTML(TITLE)
@@ -254,27 +256,36 @@ with gr.Blocks() as demo:
     with gr.Row():
         with gr.Column():
 
-            semantic_concept = gr.Text(
-                label='Semantic Concept',
+            word = gr.Text(
+                label='Text',
                 max_lines=1,
                 placeholder=
-                'Enter a semantic concept. For example: BUNNY'
+                'Enter text. For example: حصان'
             )
 
-            word = gr.Text(
-                label='Word',
+            semantic_concept = gr.Text(
+                label='Concept',
                 max_lines=1,
                 placeholder=
-                'Enter a word. For example: BUNNY'
+                'Enter a semantic concept that you want your text to morph into (in English). For example: horse'
+            )
+
+
+            prompt_suffix = gr.Text(
+                label='Prompt Suffix',
+                max_lines=1,
+                value="minimal flat 2d vector. lineal color. trending on artstation"
             )
-           
-            letter = gr.Text(
-                label='Letter',
+
+            prompt = gr.Text(
+                label='Prompt',
                 max_lines=1,
-                placeholder=
-                'Choose a letter in the word to optimize. For example: Y'
+                value="a {concept}. minimal flat 2d vector. lineal color. trending on artstation."   
             )
 
+            semantic_concept.change(change_prompt, [semantic_concept, prompt_suffix], prompt)
+            prompt_suffix.change(change_prompt, [semantic_concept, prompt_suffix], prompt)
+
             num_steps = gr.Slider(label='Optimization Iterations',
                       minimum=0,
                       maximum=500,
@@ -350,8 +361,7 @@ with gr.Blocks() as demo:
     # inputs
     inputs = [
         semantic_concept,
-        word,
-        letter, 
+        word, 
         font_name,
         num_steps
     ]

code/config/base.yaml

@@ -43,7 +43,7 @@ conformal_0.5_dist_pixel_100_kernel201:
       use_conformal_loss: true
       angeles_w: 0.5
 
-Animals:
+demo:
   parent_config: baseline
   level_of_cc: 1
   num_iter: 500