Update simple_app.py
Browse files- simple_app.py +7 -10
simple_app.py
CHANGED
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@@ -1,5 +1,5 @@
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import gradio as gr
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import re
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import subprocess
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import time
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import select
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@@ -16,6 +16,7 @@ snapshot_download(
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local_dir="./Wan2.1-T2V-1.3B"
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)
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print("Model downloaded successfully.")
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def infer(prompt, progress=gr.Progress(track_tqdm=True)):
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# Configuration:
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total_process_steps = 11 # Total INFO messages expected
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@@ -32,7 +33,6 @@ def infer(prompt, progress=gr.Progress(track_tqdm=True)):
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video_progress_bar = None
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# Variables for sub-step progress bar (Level 2)
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# Now using 1000 ticks to represent 40 seconds (each tick = 40 ms)
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sub_bar = None
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sub_ticks = 0
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sub_tick_total = 1500
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@@ -51,8 +51,6 @@ def infer(prompt, progress=gr.Progress(track_tqdm=True)):
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]
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print("Starting video generation process...")
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-
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process = subprocess.Popen(command,
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stdout=subprocess.PIPE,
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stderr=subprocess.STDOUT,
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@@ -74,8 +72,8 @@ def infer(prompt, progress=gr.Progress(track_tqdm=True)):
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# Check for video generation progress (Level 3)
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progress_match = progress_pattern.search(stripped_line)
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if progress_match:
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# If a sub-step bar is active, finish it before entering video phase.
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if sub_bar is not None:
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if sub_ticks < sub_tick_total:
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sub_bar.update(sub_tick_total - sub_ticks)
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@@ -112,7 +110,6 @@ def infer(prompt, progress=gr.Progress(track_tqdm=True)):
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continue
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else:
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# A new relevant INFO message has arrived.
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# If a sub-bar exists (whether full or not), finish it now.
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if sub_bar is not None:
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if sub_ticks < sub_tick_total:
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sub_bar.update(sub_tick_total - sub_ticks)
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@@ -135,7 +132,6 @@ def infer(prompt, progress=gr.Progress(track_tqdm=True)):
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sub_bar.update(1)
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sub_ticks += 1
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sub_bar.refresh()
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# If full (40 seconds reached), do not advance overall step—just remain waiting.
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if process.poll() is not None:
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break
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@@ -148,9 +144,10 @@ def infer(prompt, progress=gr.Progress(track_tqdm=True)):
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if sub_bar is not None:
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sub_bar.close()
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overall_bar.close()
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if process.returncode == 0:
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print("
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return "generated_video.mp4"
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else:
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print("Error executing command.")
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@@ -171,4 +168,4 @@ with gr.Blocks() as demo:
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outputs=[video_res]
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)
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demo.queue().launch(show_error=True, show_api=False, ssr_mode=False)
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import gradio as gr
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import re
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import subprocess
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import time
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import select
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local_dir="./Wan2.1-T2V-1.3B"
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)
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print("Model downloaded successfully.")
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+
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def infer(prompt, progress=gr.Progress(track_tqdm=True)):
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# Configuration:
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total_process_steps = 11 # Total INFO messages expected
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video_progress_bar = None
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# Variables for sub-step progress bar (Level 2)
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sub_bar = None
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sub_ticks = 0
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sub_tick_total = 1500
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]
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print("Starting video generation process...")
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process = subprocess.Popen(command,
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stdout=subprocess.PIPE,
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stderr=subprocess.STDOUT,
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# Check for video generation progress (Level 3)
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progress_match = progress_pattern.search(stripped_line)
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+
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if progress_match:
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if sub_bar is not None:
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if sub_ticks < sub_tick_total:
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sub_bar.update(sub_tick_total - sub_ticks)
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continue
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else:
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# A new relevant INFO message has arrived.
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if sub_bar is not None:
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if sub_ticks < sub_tick_total:
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sub_bar.update(sub_tick_total - sub_ticks)
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sub_bar.update(1)
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sub_ticks += 1
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sub_bar.refresh()
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if process.poll() is not None:
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break
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if sub_bar is not None:
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sub_bar.close()
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overall_bar.close()
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# Add log for successful video generation
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if process.returncode == 0:
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print("Video generation completed successfully.")
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return "generated_video.mp4"
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else:
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print("Error executing command.")
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outputs=[video_res]
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)
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demo.queue().launch(show_error=True, show_api=False, ssr_mode=False)
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