Update app.py

app.py

@@ -7,7 +7,7 @@ pipe = DiffusionPipeline.from_pretrained("cerspense/zeroscope_v2_576w", torch_dt
 pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
 pipe.enable_model_cpu_offload()
 
-def infer(prompt, num_inference_steps):
+def infer(prompt):
     #prompt = "Darth Vader is surfing on waves"
     video_frames = pipe(prompt, num_inference_steps=40, height=320, width=576, num_frames=24).frames
     video_path = export_to_video(video_frames)
@@ -21,33 +21,24 @@ a {text-decoration-line: underline; font-weight: 600;}
 
 with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
-        gr.HTML("""<div style="text-align: center; max-width: 700px; margin: 0 auto;">
-                <div
-                style="
-                    display: inline-flex;
-                    align-items: center;
-                    gap: 0.8rem;
-                    font-size: 1.75rem;
-                "
-                >
-                <h1 style="font-weight: 900; margin-bottom: 7px; margin-top: 5px;">
-                    Zeroscope Text-to-Video
-                </h1>
-                </div>
-                <p style="margin-bottom: 10px; font-size: 94%">
-                A watermark-free Modelscope-based video model optimized for producing high-quality 16:9 compositions and a smooth video output. <br />
-                This model was trained using 9,923 clips and 29,769 tagged frames at 24 frames, 576x320 resolution.
-                [![Duplicate this Space](https://huggingface.co/datasets/huggingface/badges/raw/main/duplicate-this-space-sm.svg)](https://huggingface.co/spaces/fffiloni/zeroscope?duplicate=true)
-                </p>
-            </div>""")
+        gr.Mardown(
+            """
+            # Zeroscope Text-to-Video
+            
+            A watermark-free Modelscope-based video model optimized for producing high-quality 16:9 compositions and a smooth video output. <br />
+            This model was trained using 9,923 clips and 29,769 tagged frames at 24 frames, 576x320 resolution.
+            [![Duplicate this Space](https://huggingface.co/datasets/huggingface/badges/raw/main/duplicate-this-space-sm.svg)](https://huggingface.co/spaces/fffiloni/zeroscope?duplicate=true)
+            
+            """
+        )
 
         prompt_in = gr.Textbox(label="Prompt", placeholder="Darth Vader is surfing on waves")
-        inference_steps = gr.Slider(label="Inference Steps", minimum=10, maximum=100, step=1, value=40, interactive=False)
+        #inference_steps = gr.Slider(label="Inference Steps", minimum=10, maximum=100, step=1, value=40, interactive=False)
         submit_btn = gr.Button("Submit")
         video_result = gr.Video(label="Video Output")
 
     submit_btn.click(fn=infer,
-                    inputs=[prompt_in, inference_steps],
+                    inputs=[prompt_in],
                     outputs=[video_result])
 
 demo.queue(max_size=12).launch()