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Runtime error
Runtime error
Commit
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6474363
1
Parent(s):
d8c4344
Support mp4s
Browse files
app.py
CHANGED
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import gradio as gr
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from PIL import Image, ImageDraw, ImageFont, ImageSequence
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import numpy as np
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image_file.file.seek(0) # Seek to the beginning of the file
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# Select evenly spaced frames
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selected_frames_indices = np.linspace(0, total_frames - 1, selected_frames_count).astype(int)
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selected_frames = [
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# Modify frames by adding border and number
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modified_frames = []
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@@ -25,9 +64,9 @@ def create_grid(image_file, grid_x, grid_y, font_size, font_color, position, bor
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positions = {
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"Top Left": (20, 20),
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"Top Right": (
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"Bottom Left": (20,
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"Bottom Right": (
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}
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for i, frame in enumerate(selected_frames):
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@@ -55,26 +94,95 @@ def create_grid(image_file, grid_x, grid_y, font_size, font_color, position, bor
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output_info = f"Grid size: {grid_x} x {grid_y}\n\nSelected Frames: {selected_frames_count} / {total_frames} ({selected_frames_count / total_frames * 100:.2f}%)"
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return grid_img, output_info
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def gif_info(image_file, grid_x, grid_y, font_size, font_color, position, border_size, border_color):
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image_file.file.seek(0)
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img = Image.open(image_file.name)
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total_frames = img.n_frames
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frame_rate = img.info.get('duration', 100) / 1000.0 # Convert to seconds
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with gr.Blocks() as app:
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gr.Markdown('##
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gr.Markdown('Upload a GIF to generate a grid from its frames. Use the sliders to adjust the grid size and text settings.')
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with gr.Row():
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with gr.Column():
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control_image = gr.File(label="Upload a GIF", type="file", elem_id="file_upload", file_types=[".gif"])
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grid_x_slider = gr.Slider(minimum=1, maximum=10, step=1, value=3, label="Grid X Size")
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grid_y_slider = gr.Slider(minimum=1, maximum=10, step=1, value=3, label="Grid Y Size")
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font_color_dropdown = gr.Dropdown(choices=["Black", "White", "Red", "Green", "Blue"], value="White", label="Numbering Color")
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@@ -86,14 +194,18 @@ with gr.Blocks() as app:
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result_image = gr.Image(label="Generated Grid")
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# Use .change() method to listen for changes in any of the controls
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control_image.
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if __name__ == "__main__":
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app.launch()
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import gradio as gr
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from PIL import Image, ImageDraw, ImageFont, ImageSequence
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import numpy as np
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import cv2
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import os
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import tempfile
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global stored_frames
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def load_and_store_frames(image_file):
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global stored_frames
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# Make sure file exists
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if image_file is None:
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return "File not found", ""
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print("Loading frames for {}".format(image_file.name))
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if image_file.name.endswith('.mp4'):
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frames = extract_frames_from_video(image_file.name)
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video_path = image_file.name
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else: # it's a gif
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img = Image.open(image_file.name)
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frames = []
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for i in range(0, img.n_frames):
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img.seek(i)
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frames.append(img.copy())
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# Convert GIF to MP4 for preview
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fourcc = cv2.VideoWriter_fourcc(*'mp4v')
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tmp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp4")
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video_path = tmp_file.name
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convert_gif_to_video(image_file.name, tmp_file.name, 1 / (img.info.get('duration', 100) / 1000.0))
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stored_frames = frames # Store the frames for later use
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return "Frames loaded successfully", video_path
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def generate_grid(grid_x, grid_y, font_size, font_color, position, border_size, border_color):
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global stored_frames
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print(f"Processing grid with {grid_x} x {grid_y} grid size, font size {font_size}, font color {font_color}, position {position}, border size {border_size}, border color {border_color}")
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if stored_frames is None:
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load_and_store_frames()
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grid_img, output_info = create_grid(stored_frames, grid_x, grid_y, font_size, font_color, position, border_size, border_color)
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details = f"Total Frames: {len(stored_frames)}\n\n{output_info}"
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return grid_img, details
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def create_grid(frames, grid_x, grid_y, font_size, font_color, position, border_size, border_color):
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total_frames = len(frames)
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selected_frames_count = grid_x * grid_y
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# Select evenly spaced frames
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selected_frames_indices = np.linspace(0, total_frames - 1, selected_frames_count).astype(int)
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selected_frames = [frames[i] for i in selected_frames_indices]
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# Modify frames by adding border and number
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modified_frames = []
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positions = {
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"Top Left": (20, 20),
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"Top Right": (frames[0].width - 20 - font_size, 20),
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"Bottom Left": (20, frames[0].height - 20 - font_size),
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"Bottom Right": (frames[0].width - 20 - font_size, frames[0].height - 20 - font_size)
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}
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for i, frame in enumerate(selected_frames):
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output_info = f"Grid size: {grid_x} x {grid_y}\n\nSelected Frames: {selected_frames_count} / {total_frames} ({selected_frames_count / total_frames * 100:.2f}%)"
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return grid_img, output_info
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def extract_frames_from_video(video_file):
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"""Extract frames from an MP4 video."""
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frames = []
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cap = cv2.VideoCapture(video_file)
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while True:
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ret, frame = cap.read()
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if not ret:
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break
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# Convert BGR format (used by OpenCV) to RGB
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frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
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frames.append(Image.fromarray(frame_rgb))
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cap.release()
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return frames
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def convert_gif_to_video(gif_path, output_video_path, frame_rate):
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# Load the gif
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gif = Image.open(gif_path)
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# Define the codec and create VideoWriter object
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fourcc = cv2.VideoWriter_fourcc(*'mp4v')
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out = cv2.VideoWriter(output_video_path, fourcc, frame_rate, (gif.width, gif.height))
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# Iterate over the frames of the gif
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for frame_index in range(gif.n_frames):
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gif.seek(frame_index)
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# Convert the PIL Image to an array
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frame_arr = np.array(gif.convert("RGB"))
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# Convert RGB to BGR format
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frame_bgr = cv2.cvtColor(frame_arr, cv2.COLOR_RGB2BGR)
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# Write the frame to the video
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out.write(frame_bgr)
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out.release()
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def gif_or_video_info(image_file, grid_x, grid_y, font_size, font_color, position, border_size, border_color):
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image_file.file.seek(0)
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video_path = ""
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if image_file.name.endswith('.mp4'):
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video_path = image_file.name
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cap = cv2.VideoCapture(image_file.name)
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frame_rate = cap.get(cv2.CAP_PROP_FPS) # Get the actual frame rate of the video
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frames = extract_frames_from_video(image_file.name)
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total_frames = len(frames)
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cap.release()
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else: # it's a gif
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img = Image.open(image_file.name)
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frames = []
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for i in range(0, img.n_frames):
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img.seek(i)
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frames.append(img.copy())
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total_frames = img.n_frames
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frame_rate = 1 / (img.info.get('duration', 100) / 1000.0) # Convert to seconds
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# Convert GIF to MP4 and save it to a temp path
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fourcc = cv2.VideoWriter_fourcc(*'mp4v')
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tmp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp4")
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video_path = tmp_file.name
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convert_gif_to_video(image_file.name, tmp_file.name, frame_rate)
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grid_img, output_info = create_grid(frames, grid_x, grid_y, font_size, font_color, position, border_size, border_color)
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details = f"**Total Frames:** {total_frames}\n\n**Frame Rate:** {frame_rate} frames/sec\n\n{output_info}"
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return grid_img, details, video_path
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def gif_info(image_file, grid_x, grid_y, font_size, font_color, position, border_size, border_color):
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return gif_or_video_info(image_file, grid_x, grid_y, font_size, font_color, position, border_size, border_color)
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def mirror(x):
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return x
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with gr.Blocks() as app:
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gr.Markdown('## vid2grid Generator')
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gr.Markdown('Upload a GIF or MP4 to generate a grid from its frames. Use the sliders to adjust the grid size and text settings.\n\nThis is particularly useful for use with multi modal models such as GPT-4V to retrieve descriptions of short videos or gifs, [more example here.](https://twitter.com/zachnagengast/status/1712896232170180651)\n\n **Note:** The grid will be generated only after clicking the "Generate Grid" button.')
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with gr.Row():
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with gr.Column():
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control_image = gr.File(label="Upload a short MP4 or GIF", type="file", elem_id="file_upload", file_types=[".gif", ".mp4"])
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video_preview = gr.Video(interactive=False, label="Preview", format="mp4")
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gif_details = gr.Markdown("No file found.")
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# gr.Examples(
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# examples=[os.path.join(os.path.dirname(__file__), "demo.mp4")],
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# inputs=[control_image],
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# outputs=[gif_details, video_preview],
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# fn=load_and_store_frames,
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# cache_examples=True,
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# )
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process_button = gr.Button("Generate Grid") # New button to trigger the heavy computation
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grid_x_slider = gr.Slider(minimum=1, maximum=10, step=1, value=3, label="Grid X Size")
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grid_y_slider = gr.Slider(minimum=1, maximum=10, step=1, value=3, label="Grid Y Size")
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font_color_dropdown = gr.Dropdown(choices=["Black", "White", "Red", "Green", "Blue"], value="White", label="Numbering Color")
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result_image = gr.Image(label="Generated Grid")
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# Use .change() method to listen for changes in any of the controls
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control_image.upload(load_and_store_frames, inputs=[control_image], outputs=[gif_details, video_preview])
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# grid_x_slider.change(generate_grid, inputs=[grid_x_slider, grid_y_slider, font_size_slider, font_color_dropdown, position_radio, border_size_slider, border_color_dropdown], outputs=[result_image, gif_details, video_preview])
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# grid_y_slider.change(generate_grid, inputs=[grid_x_slider, grid_y_slider, font_size_slider, font_color_dropdown, position_radio, border_size_slider, border_color_dropdown], outputs=[result_image, gif_details])
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# font_size_slider.change(generate_grid, inputs=[grid_x_slider, grid_y_slider, font_size_slider, font_color_dropdown, position_radio, border_size_slider, border_color_dropdown], outputs=[result_image, gif_details])
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# font_color_dropdown.change(generate_grid, inputs=[grid_x_slider, grid_y_slider, font_size_slider, font_color_dropdown, position_radio, border_size_slider, border_color_dropdown], outputs=[result_image, gif_details])
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# position_radio.change(generate_grid, inputs=[grid_x_slider, grid_y_slider, font_size_slider, font_color_dropdown, position_radio, border_size_slider, border_color_dropdown], outputs=[result_image, gif_details])
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# border_size_slider.change(generate_grid, inputs=[grid_x_slider, grid_y_slider, font_size_slider, font_color_dropdown, position_radio, border_size_slider, border_color_dropdown], outputs=[result_image, gif_details])
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# border_color_dropdown.change(generate_grid, inputs=[grid_x_slider, grid_y_slider, font_size_slider, font_color_dropdown, position_radio, border_size_slider, border_color_dropdown], outputs=[result_image, gif_details])
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process_button.click(generate_grid, inputs=[grid_x_slider, grid_y_slider, font_size_slider, font_color_dropdown, position_radio, border_size_slider, border_color_dropdown], outputs=[result_image, gif_details])
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if __name__ == "__main__":
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stored_frames = None
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app.launch()
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demo.mp4
ADDED
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Binary file (466 kB). View file
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