trim

app.py

@@ -81,6 +81,10 @@ def make_animation(
 
 
 def inference(video, image):
+    # trim video to 8 seconds
+    cmd = f"ffmpeg -ss 00:00:00 -i {video} -to 00:00:08 -c copy {video}"
+    subprocess.run(cmd.split())
+
     source_image = imageio.imread(image)
     reader = imageio.get_reader(video)
     fps = reader.get_meta_data()["fps"]
@@ -114,7 +118,7 @@ def inference(video, image):
 
 
 title = "First Order Motion Model"
-description = "Gradio demo for First Order Motion Model. Read more at the links below."
+description = "Gradio demo for First Order Motion Model. Read more at the links below. Upload a video file (cropped to face), a facial image and have fun :D"
 article = "<p style='text-align: center'><a href='https://papers.nips.cc/paper/2019/file/31c0b36aef265d9221af80872ceb62f9-Paper.pdf' target='_blank'>First Order Motion Model for Image Animation</a> | <a href='https://github.com/AliaksandrSiarohin/first-order-model' target='_blank'>Github Repo</a></p>"
 examples = [["bella_porch.mp4", "julien.png"]]
 generator, kp_detector = load_checkpoints(

driving.mp4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4362329fa55b1671c9ec04a090ff24aac82a0339c5a0e541bb7ede05474b199f
-size 201870
+oid sha256:576f879e7ebdb7d59a7a863c787d90181b8d4bedb9634e53906d517387e35746
+size 82476

final.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:47a8a3fb310abd8aeca729c5753d1ffd0f9fa61f58a5021ab6586e953146eb0d
+size 476793

out.mp4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:40c5d9da2ece10d16dffdccae482e80263a975417db07bd68ade190e803561f8
-size 455839
+oid sha256:ab1fe3f25e7f416ce50f636097bc7e791a72e635959601572b39201539d3992f
+size 164497

result.mp4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a4c0f2ea560a6fc05abe481b99069bdd6fd8021839ba11901c5e5c9ab658b0b5
-size 202512
+oid sha256:05d7589e39b89f78046d653d269f06589ec5099dd85d5d4a6fa7a5fa9218b4e4
+size 83944