Update app.py

app.py

@@ -39,11 +39,10 @@ def to_video(frames: list[np.ndarray], fps: int) -> str:
     return out_file.name
 
 
-def generate(prompt: str, seed: int, num_frames: int,
-             num_inference_steps: int) -> str:
-    seed = int(seed)
-    num_frames = int(num_frames)
-    num_inference_steps = int(num_inference_steps)
+def generate(prompt: str) -> str:
+    seed = int(0)
+    num_frames = int(16)
+    num_inference_steps = int(25)
     if seed == -1:
         seed = random.randint(0, 1000000)
     generator = torch.Generator().manual_seed(seed)
@@ -54,11 +53,6 @@ def generate(prompt: str, seed: int, num_frames: int,
     return to_video(frames, 8)
 
 
-examples = [
-    ['An astronaut riding a horse.', 0, 16, 25],
-    ['A panda eating bamboo on a rock.', 0, 16, 25],
-    ['Spiderman is surfing.', 0, 16, 25],
-]
 
 with gr.Blocks(css='style.css') as demo:
     gr.Markdown(DESCRIPTION)