Use the current head of master branch

app.py

@@ -16,8 +16,8 @@ if os.getenv('SYSTEM') == 'spaces':
     subprocess.run(shlex.split('pip uninstall -y modelscope'))
     subprocess.run(
         shlex.split(
-            'pip install git+https://github.com/modelscope/modelscope.git@refs/pull/207/head'
-        ))
+            'pip install git+https://github.com/modelscope/modelscope@fe67395')
+    )
 
 from modelscope.outputs import OutputKeys
 from modelscope.pipelines import pipeline
@@ -75,9 +75,8 @@ with gr.Blocks(css='style.css') as demo:
     prompt.submit(fn=generate, inputs=inputs, outputs=result)
     run_button.click(fn=generate, inputs=inputs, outputs=result)
 
-    with gr.Accordion(label="Biases and content acknowledgment", open=False):
-            gr.HTML(
-                """<div class="acknowledgments">
+    with gr.Accordion(label='Biases and content acknowledgment', open=False):
+        gr.HTML("""<div class="acknowledgments">
                     <h4>Biases and content acknowledgment</h4>
                     <p>
                         Despite how impressive being able to turn text into video is, beware to the fact that this model may output content that reinforces or exacerbates societal biases. The training data includes LAION5B, ImageNet, Webvid and other public datasets. The model was not trained to realistically represent people or events, so using it to generate such content is beyond the model's capabilities.
@@ -89,7 +88,6 @@ with gr.Blocks(css='style.css') as demo:
                         To learn more about the model, head to its <a href="https://huggingface.co/damo-vilab/modelscope-damo-text-to-video-synthesis" style="text-decoration: underline;" target="_blank">model card</a>.
                     </p>
                    </div>
-                """
-            )
+                """)
 
 demo.queue(api_open=False, max_size=15).launch()