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Update app.py
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app.py
CHANGED
@@ -1,5 +1,6 @@
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import gradio as gr
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import subprocess
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import os
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from huggingface_hub import snapshot_download
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@@ -33,6 +34,8 @@ def process_video(video_path, prompt, num_steps):
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"--output_folder", output_folder
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]
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subprocess.run(warp_command, check=True)
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# Step 2: Run inference
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inference_command = [
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@@ -45,7 +48,7 @@ def process_video(video_path, prompt, num_steps):
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subprocess.run(inference_command, check=True)
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# Return the path to the output video
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return output_video
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except subprocess.CalledProcessError as e:
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raise gr.Error(f"An error occurred: {str(e)}")
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@@ -61,11 +64,12 @@ with gr.Blocks() as demo:
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submit_btn = gr.Button("Submit")
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with gr.Column():
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output_video = gr.Video(label="Result")
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submit_btn.click(
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fn = process_video,
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inputs = [input_video, prompt, num_steps],
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outputs = [output_video]
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)
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demo.queue().launch(show_api=False)
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import gradio as gr
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import subprocess
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import shutil
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import os
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from huggingface_hub import snapshot_download
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"--output_folder", output_folder
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]
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subprocess.run(warp_command, check=True)
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warped_vid_path = os.path.join(output_folder, "input.mp4")
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# Step 2: Run inference
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inference_command = [
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subprocess.run(inference_command, check=True)
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# Return the path to the output video
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return output_video, warped_vid_path
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except subprocess.CalledProcessError as e:
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raise gr.Error(f"An error occurred: {str(e)}")
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submit_btn = gr.Button("Submit")
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with gr.Column():
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output_video = gr.Video(label="Result")
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warped_output_video = gr.Video(label="Warped noise")
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submit_btn.click(
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fn = process_video,
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inputs = [input_video, prompt, num_steps],
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outputs = [output_video, warped_vid_path]
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)
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demo.queue().launch(show_api=False)
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