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Update app.py
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app.py
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@@ -2,26 +2,24 @@ import gradio as gr
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import subprocess
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import os
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import spaces
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# Download the file
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subprocess.run([
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"wget",
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"
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"https://drive.google.com/uc?id=1mj9lH6Be7ztYtHAr1xUUGT3hRtWJBy_5",
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"-O",
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"
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], check=True)
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# Unzip the downloaded file
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subprocess.run([
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"unzip",
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"-o",
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"
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], check=True)
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# The name of your script
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SCRIPT_NAME = "inference_video.py"
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@spaces.GPU(duration=120)
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def run_rife(
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input_video,
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@@ -29,7 +27,6 @@ def run_rife(
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time_exponent,
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fixed_fps,
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video_scale,
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enable_uhd_mode,
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remove_duplicate_frames,
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create_montage,
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progress=gr.Progress(track_tqdm=True),
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@@ -40,58 +37,37 @@ def run_rife(
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ext = "mp4"
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model_dir = "train_log"
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video_path_wo_ext = os.path.splitext(os.path.basename(input_video))[0]
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-
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cmd = ["python3", SCRIPT_NAME]
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cmd.extend(["--video", input_video])
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cmd.extend(["--output", output_base_name])
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cmd.extend(["--multi", str(int(frame_multiplier))])
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if time_exponent != 1:
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cmd.extend(["--exp", str(int(time_exponent))])
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if fixed_fps > 0:
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cmd.extend(["--fps", str(int(fixed_fps))])
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gr.Warning("Will not merge audio because using fps flag!")
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if video_scale != 1.0:
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cmd.extend(["--scale", str(video_scale)])
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cmd.extend(["--ext", ext])
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cmd.extend(["--model", model_dir])
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cmd.append("--fp16")
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cmd.append("--UHD")
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if remove_duplicate_frames:
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cmd.append("--skip")
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if create_montage:
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cmd.append("--montage")
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print(f"Executing command: {' '.join(cmd)}")
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try:
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else:
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return output_base_name
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raise gr.Error(f"Output file not found. Expected: {final_output_file}")
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except Exception as e:
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raise gr.Error(f"An error occurred: {str(e)}")
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@@ -99,9 +75,9 @@ def run_rife(
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# --- Gradio UI Layout ---
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with gr.Blocks(title="
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gr.Markdown("# ⚡ RIFE:
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gr.Markdown("
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gr.Markdown("⚠️ **Notice:** Keep input videos under 60 seconds for frame interpolation to prevent GPU task aborts.")
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with gr.Row():
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@@ -109,13 +85,11 @@ with gr.Blocks(title="Professional FPS Booster") as app:
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with gr.Column(scale=1):
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input_vid = gr.Video(label="🎬 Input Source Video", sources=["upload"])
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with gr.Group():
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gr.Markdown("### 🚀 Performance Settings")
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multi_param = gr.Dropdown(
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choices=["2", "3", "4", "5", "6"],
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value="2",
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label="
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info="2X = Double FPS (e.g. 30 -> 60). Higher multipliers create more intermediate frames."
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)
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@@ -141,15 +115,10 @@ with gr.Blocks(title="Professional FPS Booster") as app:
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)
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with gr.Row():
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uhd_chk = gr.Checkbox(
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label="💎 UHD/4K Optimization",
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value=False,
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info="Enable for high-resolution sources."
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)
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skip_chk = gr.Checkbox(
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label="⏩ Skip Static Frames",
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value=False,
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info="Bypass processing for
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)
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montage_chk = gr.Checkbox(
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label="🆚 Split-Screen Comparison",
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@@ -157,11 +126,11 @@ with gr.Blocks(title="Professional FPS Booster") as app:
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info="Output video showing Original vs. Processed."
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)
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btn_run = gr.Button("
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# --- Right Column: Output ---
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with gr.Column(scale=1):
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output_vid = gr.Video(label="
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gr.Markdown("**Status:** Rendering time depends on input resolution and duration.")
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# --- Bind Logic ---
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@@ -173,7 +142,6 @@ with gr.Blocks(title="Professional FPS Booster") as app:
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exp_param,
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fps_param,
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scale_param,
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uhd_chk,
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skip_chk,
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montage_chk
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],
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import subprocess
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import os
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import spaces
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import inference_video_w
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import torch
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# Download the file
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subprocess.run([
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"wget",
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"https://huggingface.co/r3gm/RIFE/resolve/main/RIFEv4.26_0921.zip",
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"-O",
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"RIFEv4.26_0921.zip"
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], check=True)
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# Unzip the downloaded file
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subprocess.run([
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"unzip",
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"-o",
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"RIFEv4.26_0921.zip"
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], check=True)
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@spaces.GPU(duration=120)
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def run_rife(
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input_video,
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time_exponent,
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fixed_fps,
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video_scale,
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remove_duplicate_frames,
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create_montage,
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progress=gr.Progress(track_tqdm=True),
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ext = "mp4"
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model_dir = "train_log"
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# Construct output filename pattern to match what inference_video.py expects/generates
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video_path_wo_ext = os.path.splitext(os.path.basename(input_video))[0]
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# We pass the desired output name, though the function logic tries to stick to this pattern anyway
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output_base_name = "{}_{}X_fps.{}".format(video_path_wo_ext, int(frame_multiplier), ext)
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if fixed_fps > 0:
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gr.Warning("Will not merge audio because using fps flag!")
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print(f"Starting Inference for: {input_video}")
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try:
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# Call the imported function directly
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result_path = inference_video_w.inference(
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video=input_video,
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output=output_base_name,
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modelDir=model_dir,
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fp16=(True if torch.cuda.is_available() else False),
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UHD=False,
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scale=video_scale,
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skip=remove_duplicate_frames,
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fps=int(fixed_fps) if fixed_fps > 0 else None,
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ext=ext,
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exp=int(time_exponent),
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multi=int(frame_multiplier),
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montage=create_montage
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)
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if result_path and os.path.exists(result_path):
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return result_path
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else:
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raise gr.Error(f"Output file not found. Expected: {result_path}")
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except Exception as e:
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raise gr.Error(f"An error occurred: {str(e)}")
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# --- Gradio UI Layout ---
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with gr.Blocks(title="Frame Rate Enhancer") as app:
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gr.Markdown("# ⚡ RIFE: Frame Rate Enhancer")
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gr.Markdown("Creates extra frames between the original ones to make motion in your videos smoother and more fluid.")
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gr.Markdown("⚠️ **Notice:** Keep input videos under 60 seconds for frame interpolation to prevent GPU task aborts.")
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with gr.Row():
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with gr.Column(scale=1):
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input_vid = gr.Video(label="🎬 Input Source Video", sources=["upload"])
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with gr.Group():
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multi_param = gr.Dropdown(
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choices=["2", "3", "4", "5", "6"],
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value="2",
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label="🗃️ Frame Multiplier",
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info="2X = Double FPS (e.g. 30 -> 60). Higher multipliers create more intermediate frames."
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)
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)
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with gr.Row():
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skip_chk = gr.Checkbox(
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label="⏩ Skip Static Frames",
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value=False,
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info="Bypass processing for static frames to save time."
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)
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montage_chk = gr.Checkbox(
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label="🆚 Split-Screen Comparison",
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info="Output video showing Original vs. Processed."
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)
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btn_run = gr.Button("GENERATE INTERMEDIATE FRAMES", variant="primary", size="lg")
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# --- Right Column: Output ---
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with gr.Column(scale=1):
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output_vid = gr.Video(label="INTERPOLATED RESULT")
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gr.Markdown("**Status:** Rendering time depends on input resolution and duration.")
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# --- Bind Logic ---
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exp_param,
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fps_param,
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scale_param,
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skip_chk,
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montage_chk
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],
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