change Frontend to show image and video

app.py

@@ -1,11 +1,57 @@
 import gradio as gr
+import tempfile
+import os
 
+class SDXLGenerator:
+    def generate_image(self, prompt):
+        # Placeholder for image generation (e.g., returning a sample image or empty image)
+        return "Placeholder for Generated Image"
 
-def greet(name):
-    return "Hello " + name + "!"
 
+class ControlNetProcessor:
+    def controlnet_image(self, image):
+        # Placeholder for ControlNet processing (e.g., returning a sample image or empty image)
+        return "Placeholder for ControlNet Output Image"
+
+
+class VideoGenerator:
+    def generate_3d_video(self, controlled_image):
+        # Placeholder: creating a dummy video for demonstration purposes.
+        video_path = "generated_video.mp4"
+        with tempfile.NamedTemporaryFile(delete=False, suffix='.mp4') as tmp:
+            # Placeholder: creating a dummy video for demonstration purposes.
+            os.system(f"ffmpeg -f lavfi -i color=c=blue:s=320x240:d=5 -vf drawtext=fontfile=/path/to/font.ttf:text='3D Model':fontsize=24:fontcolor=white:x=(w-text_w)/2:y=(h-text_h)/2 {tmp.name}")
+            video_path = tmp.name
+        return video_path
+
+
+class GradioApp:
+    def __init__(self):
+        self.sdxl_generator = SDXLGenerator()
+        self.controlnet_processor = ControlNetProcessor()
+        self.video_generator = VideoGenerator()
+
+    def full_pipeline(self, prompt):
+        initial_image = self.sdxl_generator.generate_image(prompt)
+        controlled_image = self.controlnet_processor.controlnet_image(initial_image)
+        video_path = self.video_generator.generate_3d_video(controlled_image)
+        return initial_image, controlled_image, video_path
+
+    def launch(self):
+        interface = gr.Interface(
+            fn=self.full_pipeline,
+            inputs=[gr.Textbox(label="Input Prompt")],
+            outputs=[
+                gr.Image(type="pil", label="Generated Image"),
+                gr.Image(type="pil", label="ControlNet Output Image"),
+                gr.Video(label="3D Model Video")
+            ],
+            title="SDXL to ControlNet to 3D Pipeline",
+            description="Generate an image using SDXL, refine it with ControlNet, and generate a 3D video output."
+        )
+        interface.launch()
 
-demo = gr.Interface(fn=greet, inputs="textbox", outputs="textbox")
 
 if __name__ == "__main__":
-    demo.launch()
+    app = GradioApp()
+    app.launch()