Create gradio app

app.py

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+from huggingface_hub import from_pretrained_keras
+import keras_cv
+import gradio as gr
+from tensorflow import keras
+
+keras.mixed_precision.set_global_policy("mixed_float16")
+
+resolution = 512
+dreambooth_model = keras_cv.models.StableDiffusion(
+        img_width=resolution, img_height=resolution, jit_compile=True,
+    )
+loaded_diffusion_model = from_pretrained_keras("melanit/dreambooth_voyager_v2")
+dreambooth_model._diffusion_model = loaded_diffusion_model
+
+def generate_images(prompt: str, negative_prompt:str, batch_size: int, num_steps: int):
+    """
+    This function will infer the trained dreambooth (stable diffusion) model
+    Args:
+        prompt (str): The input text
+        batch_size (int): The number of images to be generated
+        num_steps (int): The number of denoising steps
+    Returns:
+        outputs (List): List of images that were generated using the model
+    """
+    outputs = dreambooth_model.text_to_image(
+        prompt, 
+        negative_prompt=negative_prompt,
+        batch_size=batch_size,
+        num_steps=num_steps,
+    )
+   
+    return outputs
+    
+with gr.Blocks() as demo:
+    gr.HTML("<h2 style=\"font-size: 2rem; font-weight: 700; text-align: center;\">Keras Dreambooth - Voyager Demo</h2>")    
+    with gr.Row():
+        with gr.Column():
+            prompt = gr.Textbox(lines=1, value="a photo of voyager spaceship", label="Prompt")
+            negative_prompt = gr.Textbox(lines=1, value="", label="Negative Prompt")
+            samples = gr.Slider(minimum=1, maximum=10, value=1, step=1, label="Number of Images")
+            num_steps = gr.Slider(minimum=1, maximum=100, value=50, step=1, label="Denoising Steps")
+            run = gr.Button(value="Run")
+        with gr.Column():
+            gallery = gr.Gallery(label="Outputs").style(grid=(1,2))
+
+    run.click(generate_images, inputs=[prompt,negative_prompt, samples, num_steps], outputs=gallery)
+    
+    gr.Examples([["photo of voyager spaceship in space, high quality, blender, 3d, trending on artstation, 8k","bad, ugly, malformed, deformed, out of frame, blurry", 1, 50]],
+                [prompt,negative_prompt, samples,num_steps], gallery, generate_images)
+    gr.Markdown('Demo created by [Lily Berkow](https://huggingface.co/melanit/)')
+
+demo.launch()