Update app.py

app.py

@@ -45,7 +45,6 @@ def predict(
     prompt: str,
     negative_prompt: str,
     guidance_scale: float = 5.0,
-    ddim_steps: int = 50,
     seed: int = 0,
     randomize_seed: bool = True,
 ):
@@ -56,7 +55,6 @@ def predict(
         height=512,
         negative_prompt=negative_prompt,
         guidance_scale=guidance_scale,
-        ddim_steps=ddim_steps,
         generator=generator,
         num_inference_steps=50,
     )  # type: ignore
@@ -89,9 +87,6 @@ Model card: https://huggingface.co/Intel/ldm3d-pano<br>
             guidance_scale = gr.Slider(
                 label="Guidance Scale", minimum=0, maximum=10, step=0.1, value=5.0
             )
-            ddim_steps = gr.Slider(
-                label="DDIM Steps", minimum=0, maximum=200, step=1, value=50
-            )
             randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
             seed = gr.Slider(label="Seed", minimum=0,
                              maximum=2**64 - 1, step=1)
@@ -100,21 +95,21 @@ Model card: https://huggingface.co/Intel/ldm3d-pano<br>
             with gr.Row():
                 new_btn = gr.Button("New Image")
         with gr.Column(scale=2):
-            html = gr.HTML()
+            html = gr.HTML(height='50%')
             with gr.Row():
                 rgb = gr.Image(label="RGB Image", type="filepath")
                 depth = gr.Image(label="Depth Image", type="filepath")
     gr.Examples(
         examples=[
-            ["360 view of a large bedroom", "", 7.0, 50, 42, False]],
-        inputs=[prompt, negative_prompt, guidance_scale, ddim_steps, seed, randomize_seed],
+            ["360 view of a large bedroom", "", 7.0, 42, False]],
+        inputs=[prompt, negative_prompt, guidance_scale, seed, randomize_seed],
         outputs=[rgb, depth, generated_seed, html],
         fn=predict,
         cache_examples=True)
 
     new_btn.click(
         fn=predict,
-        inputs=[prompt, negative_prompt, guidance_scale, ddim_steps, seed, randomize_seed],
+        inputs=[prompt, negative_prompt, guidance_scale, seed, randomize_seed],
         outputs=[rgb, depth, generated_seed, html],
     )