added stable video option

app.py

@@ -25,7 +25,7 @@ def get_instantID(portrait_in, condition_pose, prompt):
     print(result)
     return result[0]
 
-def get_video(image_in, prompt):
+def get_video_i2vgen(image_in, prompt):
     client = Client("https://modelscope-i2vgen-xl.hf.space/")
     result = client.predict(
         image_in,
@@ -35,9 +35,27 @@ def get_video(image_in, prompt):
     print(result)
     return result
 
-def infer(image_in, conditional_pose, prompt):
+def get_video_svd(image_in):
+    from gradio_client import Client
+
+    client = Client("https://multimodalart-stable-video-diffusion.hf.space/--replicas/ej45m/")
+    result = client.predict(
+		https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png,	# filepath  in 'Upload your image' Image component
+		0,	# float (numeric value between 0 and 9223372036854775807) in 'Seed' Slider component
+		True,	# bool  in 'Randomize seed' Checkbox component
+		127,	# float (numeric value between 1 and 255) in 'Motion bucket id' Slider component
+		6,	# float (numeric value between 5 and 30) in 'Frames per second' Slider component
+		api_name="/video"
+    )
+    print(result)
+    return result[0]["video"]
+
+def infer(image_in, conditional_pose, prompt, chosen_model):
     iid_img = get_instantID(image_in, conditional_pose, prompt)
-    video_res = get_video(iid_img, prompt)
+    if chosen_model == "i2vgen-xl" :
+        video_res = get_video_i2vgen(iid_img, prompt)
+    elif chosen_model == "stable-video" :
+        video_res = get_video_svd(image_in)
     print(video_res)
     return video_res
 
@@ -47,6 +65,7 @@ gr.Interface(
         gr.Image(type="filepath", label="Face to copy"),
         gr.Image(type="filepath", label="Conditional pose (Optional)"),
         gr.Textbox()
+        gr.Radio(label="Choose a model", choices=["i2vgen-xl", "stable-video"], value="i2vgen-xl")
     ],
     outputs = [
         gr.Video()