Update app.py

app.py

@@ -3,32 +3,92 @@ import random
 
 model = gr.load("models/Purz/face-projection")
 
-def generate_image(text, seed):
-    if seed is not None:
-        random.seed(seed)
-
-    if text in [example[0] for example in examples]:
-        print(f"Using example: {text}")
-
+def generate_image(text):
     return model(text)
 
 examples = [
-    ["Humanoid Cat Warrior, Full View", None],
-    ["Warhammer Sisterhood", None],
-    ["Future Robots war", None],
-    ["Fantasy dragon", None]
+    ["Humanoid Cat Warrior, Full View"],
+    ["Warhammer Sisterhood"],
+    ["Future Robots war"],
+    ["Fantasy dragon"]
 ]
 
-interface = gr.Interface(
-    fn=generate_image,
-    inputs=[
-        gr.Textbox(label="Type here your imagination:", placeholder="Type or click an example..."),
-        gr.Slider(minimum=0, maximum=10000, step=1, label="Seed (optional)")
-    ],
-    outputs=gr.Image(label="Generated Image"),
-    examples=examples,
-    theme="NoCrypt/miku",
-    description="Sorry for the inconvenience. The model is currently running on the CPU, which might affect performance. We appreciate your understanding.",
-)
-
-interface.launch()
+css = """
+#col-container {
+    margin: 0 auto;
+    max-width: 640px;
+}
+"""
+
+with gr.Blocks(css=css) as interface:
+    with gr.Column(elem_id="col-container"):
+        gr.Markdown("# Text-to-Image Gradio Template")
+
+        with gr.Row():
+            prompt = gr.Textbox(
+                label="Type here your imagination:",
+                show_label=False,
+                max_lines=1,
+                placeholder="Type or click an example...",
+                container=False,
+            )
+
+            run_button = gr.Button("Generate Image", scale=0, variant="primary")
+
+        result = gr.Image(label="Generated Image", show_label=False)
+
+        with gr.Accordion("Advanced Settings", open=False):
+            negative_prompt = gr.Text(
+                label="Negative prompt",
+                max_lines=1,
+                placeholder="Enter a negative prompt",
+                visible=False,
+            )
+
+            with gr.Row():
+                width = gr.Slider(
+                    label="Width",
+                    minimum=256,
+                    maximum=1024,
+                    step=32,
+                    value=1024
+                )
+                height = gr.Slider(
+                    label="Height",
+                    minimum=256,
+                    maximum=1024,
+                    step=32,
+                    value=1024
+                )
+
+            with gr.Row():
+                guidance_scale = gr.Slider(
+                    label="Guidance scale",
+                    minimum=0.0,
+                    maximum=10.0,
+                    step=0.1,
+                    value=0.0
+                )
+
+                num_inference_steps = gr.Slider(
+                    label="Number of inference steps",
+                    minimum=1,
+                    maximum=50,
+                    step=1,
+                    value=2
+                )
+
+        gr.Examples(examples=examples, inputs=[prompt])
+
+    gr.on(
+        triggers=[run_button.click, prompt.submit],
+        fn=generate_image,
+        inputs=[prompt],
+        outputs=[result],
+    )
+
+if __name__ == "__main__":
+    interface.launch(
+        theme="NoCrypt/miku",
+        description="Sorry for the inconvenience. The model is currently running on the CPU, which might affect performance. We appreciate your understanding."
+    )