try

.gitignore

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+venv/

app.py

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+from diffusers import AutoPipelineForText2Image
+import torch
+import gradio as gr
+
+pipeline = AutoPipelineForText2Image.from_pretrained('dataautogpt3/OpenDalleV1.1', torch_dtype=torch.float16)       
+
+text0 = 'black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed'
+
+def generation(text):
+    image = pipeline(text).images[0]
+    return image
+
+demo = gr.Blocks()
+
+title = '# 3D print failures detection App'
+description = 'App for detect errors in the 3D printing'
+
+with demo:
+    gr.Markdown(title)
+    gr.Markdown(description)
+    
+    with gr.Row():
+        img_input = gr.Textbox ( label="Text 1",info="Initial text",lines=5,value=text0)
+
+        button = gr.Button(value="Reverse")
+
+        
+    with gr.Row():
+        img_output= gr.Image()
+    
+    button.click( generation, inputs=img_input, outputs=[img_output])
+        
+
+
+if __name__ == "__main__":
+    demo.launch()

sketch.js

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+// PARAMS are embedded here
+
+function setup() {
+    createCanvas(WIDTH, HEIGHT);
+}
+
+function draw() {
+    background(BACKGROUND_COLOR);
+    circle(mouseX, mouseY, CIRCLE_SIZE);
+}