Create app.py

app.py

@@ -0,0 +1,65 @@
+import os
+os.system('pip install dashscope')
+import gradio as gr
+from http import HTTPStatus
+import dashscope
+from dashscope import VideoSynthesis
+
+DASHSCOPE_API_KEY = os.getenv('DASHSCOPE_API_KEY')
+dashscope.api_key = DASHSCOPE_API_KEY
+
+def video_generation(prompt):
+    try:
+        rsp = VideoSynthesis.call(model="wanx2.1-t2v-plus", prompt=prompt, watermark_wanx=True)
+        video_url = rsp.output.video_url
+        return video_url
+    except Exception as e:
+        gr.Warning(f"Warning: {e}")
+        return None
+
+
+examples = [
+    'a tiny astronaut hatching from an egg on the moon',
+    'A close-up of a panda wearing red clothes and holding a green sign with the words "Wanx" in both hands. The background is a busy city street with cars driving fast on the road.',
+    '远景拍摄，塞纳河畔，绚烂的烟花在空中绽放，烟花形成了粉色数字“2025”时镜头拉近特写，然后逐渐消散',
+]
+css = """
+#col-container {
+    margin: 0 auto;
+    max-width: 800px;
+}
+"""
+
+with gr.Blocks(css=css) as demo:
+    with gr.Column(elem_id="col-container"):
+        gr.Markdown(f"""# Wanx 2.1 (Tongyi Wanxiang 2.1), the latest powerful text to video generation model developed by the Wanx Team from Tongyi Lab, Alibaba Group.
+        [[YouTube Videos]](https://www.youtube.com/watch?v=bq4nAVbYQQU)
+        [[Wanx WEB]](https://tongyi.aliyun.com/wanxiang/videoCreation)
+        """)
+
+        with gr.Row():
+            prompt = gr.Text(
+                label="Prompt",
+                show_label=False,
+                max_lines=100,
+                min_width=320,
+                placeholder="Enter your prompt",
+                container=False,
+            )
+            run_button = gr.Button("Run", scale=0)
+
+        result = gr.Video(label="Generated video", show_label=False)
+        gr.Examples(
+            examples=examples,
+            inputs=[prompt]
+        )
+
+    gr.on(
+        triggers=[run_button.click],
+        fn=video_generation,
+        inputs=[prompt],
+        outputs=[result]
+    )
+
+demo.queue(max_size=10)
+demo.launch()