Create app.py

app.py

@@ -0,0 +1,97 @@
+import gradio as gr
+
+from modelscope.pipelines import pipeline
+from modelscope.outputs import OutputKeys
+
+pipe = pipeline(task='image-to-video', model='damo/Image-to-Video', model_revision='v1.1.0')
+
+def infer (audio_in):
+    
+    # IMG_PATH: your image path (url or local file)
+    IMG_PATH = audio_in
+    output_video_path = pipe(IMG_PATH, output_video='output.mp4')[OutputKeys.OUTPUT_VIDEO]
+    print(output_video_path)
+    
+    return output_video_path
+
+css="""
+
+#col-container {
+    max-width: 780px; 
+    margin-left: auto; 
+    margin-right: auto;
+}
+img[src*='#center'] { 
+    display: block;
+    margin: auto;
+}
+.footer {
+    margin-bottom: 45px;
+    margin-top: 10px;
+    text-align: center;
+    border-bottom: 1px solid #e5e5e5;
+}
+.footer > p {
+    font-size: .8rem;
+    display: inline-block;
+    padding: 0 10px;
+    transform: translateY(10px);
+    background: white;
+}
+.dark .footer {
+    border-color: #303030;
+}
+.dark .footer > p {
+    background: #0b0f19;
+}
+
+"""
+
+with gr.Blocks(css=css) as demo:
+    with gr.Column(elem_id="col-container"):
+        gr.Markdown("""
+        
+            <h1 style="text-align: center;">
+                MS Image2Video
+            </h1>
+
+            [![Duplicate this Space](https://huggingface.co/datasets/huggingface/badges/raw/main/duplicate-this-space-sm.svg#center)](https://huggingface.co/spaces/fffiloni/MS-Image2Video-cloning?duplicate=true)
+
+        
+        """)
+
+        image_in = gr.Image(
+            label = "Source Image",
+            source = "upload", 
+            type = "filepath"
+        )
+
+        submit_btn = gr.Button(
+            "Submit"
+        )
+
+        video_out = gr.Video(
+            label = "Video Result"
+        )
+
+        gr.HTML("""
+        
+            <div class="footer">
+                <p>
+                MS-Image2Video Demo by 🤗 <a href="https://twitter.com/fffiloni" target="_blank">Sylvain Filoni</a>
+                </p>
+            </div>
+
+        """)
+
+    submit_btn.click(
+        fn = infer,
+        inputs = [
+            audio_in
+        ],
+        outputs = [
+            video_out
+        ]
+    )
+
+demo.queue(max_size=20).launch()