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prithivMLmods
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f60d721
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Upload 2 files
Browse files- app.py +265 -0
- requirements.txt +5 -0
app.py
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import gradio as gr
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import cv2
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import numpy as np
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from PIL import Image, ImageDraw, ImageFont
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import textwrap
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import moviepy.editor as mp
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import moviepy.video.fx.all as vfx
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css = """
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#col-container {
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margin: 0 auto;
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max-width: 290px;
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}
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"""
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def create_typing_video(code_text, format_choice, line_spacing, width_choice, height_choice, font_name="arial.ttf", font_size=18, frame_rate=10, sound_choice=None, custom_audio=None, background_color="black", text_color="white", enhance_quality=False, video_speed="1.0"):
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font_path = f"font/{font_name}"
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# Convert font_size to integer
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font_size = int(font_size)
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font = ImageFont.truetype(font_path, font_size)
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video_frames = []
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# Setup initial parameters
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image_width, image_height = int(width_choice), int(height_choice)
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max_width = image_width - 40 # Margin of 20 pixels on each side
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current_text = ""
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# Create the background
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background = Image.new("RGB", (image_width, image_height), color=background_color)
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# Calculate the maximum width and adjust font size if necessary
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while True:
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wrapped_lines = textwrap.wrap(code_text, width=max_width // font.getlength(' '))
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text_height = sum([font.getbbox(line)[3] - font.getbbox(line)[1] for line in wrapped_lines])
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if text_height <= image_height - 40:
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break
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font_size -= 1
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font = ImageFont.truetype(font_path, font_size)
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# Generate frames for the typing effect
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for char in code_text:
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current_text += char
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if format_choice == "Paragraph":
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wrapped_lines = textwrap.wrap(current_text, width=max_width // font.getlength(' '))
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else: # Programming
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wrapped_lines = current_text.splitlines()
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# Copy the background image for each frame
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image = background.copy()
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draw = ImageDraw.Draw(image)
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y_position = 20
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for line in wrapped_lines:
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draw.text((20, y_position), line, font=font, fill=text_color)
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line_height = font.getbbox(line)[3] - font.getbbox(line)[1]
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y_position += line_height * line_spacing
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# Convert to numpy array for OpenCV
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frame = np.array(image)
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frame = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)
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video_frames.append(frame)
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# Create a video writer
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video_filename = "typed_code_video.mp4"
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out = cv2.VideoWriter(video_filename, cv2.VideoWriter_fourcc(*"mp4v"), frame_rate, (image_width, image_height))
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for frame in video_frames:
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out.write(frame)
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out.release()
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# Adjust video speed
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speed_factor = {
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"1x": 1.0,
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"1.25x": 1.25,
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"1.5x": 1.5,
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"1.75x": 1.75,
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"2x": 2.0
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}.get(video_speed, 1.0) # Default to 1.0 if video_speed is not found in the dictionary
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video = mp.VideoFileClip(video_filename).fx(vfx.speedx, factor=speed_factor)
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video.write_videofile("speed_adjusted_video.mp4", codec="libx264")
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video_filename = "speed_adjusted_video.mp4"
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# Add sound if a sound choice is selected
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if sound_choice and sound_choice != "No Sound":
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video = mp.VideoFileClip(video_filename)
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audio = mp.AudioFileClip(f"type-sounds/{sound_choice}")
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# Loop the audio to match the duration of the video
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audio = audio.fx(mp.afx.audio_loop, duration=video.duration)
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video = video.set_audio(audio)
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video.write_videofile("typed_code_video_with_sound.mp4", codec="libx264")
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video_filename = "typed_code_video_with_sound.mp4"
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# Add custom audio if provided
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if custom_audio:
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video = mp.VideoFileClip(video_filename)
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audio = mp.AudioFileClip(custom_audio)
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# Loop the custom audio to match the duration of the video
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audio = audio.fx(mp.afx.audio_loop, duration=video.duration)
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video = video.set_audio(audio)
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video.write_videofile("typed_code_video_with_custom_audio.mp4", codec="libx264")
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video_filename = "typed_code_video_with_custom_audio.mp4"
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# Apply video quality enhancement if enabled
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if enhance_quality:
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video = mp.VideoFileClip(video_filename)
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video = video.fx(vfx.resize, height=720) # Resize video to enhance quality
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video = video.fx(vfx.colorx, 1.2) # Increase contrast
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video.write_videofile("enhanced_" + video_filename, codec="libx264")
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video_filename = "enhanced_" + video_filename
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return video_filename
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def generate_video(code_text, format_choice, line_spacing, width_choice, height_choice, font_choice, font_size, sound_choice, custom_audio, background_color, text_color, enhance_quality, video_speed):
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return create_typing_video(code_text, format_choice, line_spacing, width_choice, height_choice, font_name=font_choice, font_size=font_size, sound_choice=sound_choice, custom_audio=custom_audio, background_color=background_color, text_color=text_color, enhance_quality=enhance_quality, video_speed=video_speed)
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# Create Gradio interface
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format_choice = gr.Dropdown(
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choices=["Paragraph", "Programming"],
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value="Paragraph",
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label="Text Format"
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)
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line_spacing = gr.Dropdown(
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choices=[1.0, 1.15, 1.5, 2.0, 2.5, 3.0],
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value=1.15,
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label="Line Spacing"
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)
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font_choice = gr.Dropdown(
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choices=[
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"DejaVuMathTeXGyre.ttf",
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"FiraCode-Medium.ttf",
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"InputMono-Light.ttf",
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"JetBrainsMono-Thin.ttf",
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"ProggyCrossed Regular Mac.ttf",
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"SourceCodePro-Black.ttf",
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"arial.ttf",
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"calibri.ttf",
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"mukta-malar-extralight.ttf",
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"noto-sans-arabic-medium.ttf",
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"times new roman.ttf",
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"ANGSA.ttf",
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"Book-Antiqua.ttf",
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"CONSOLA.TTF",
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"COOPBL.TTF",
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"Rockwell-Bold.ttf",
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"Candara Light.TTF",
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"Carlito-Regular.ttf Carlito-Regular.ttf",
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"Castellar.ttf",
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"Courier New.ttf",
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"LSANS.TTF",
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"Lucida Bright Regular.ttf",
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"TRTempusSansITC.ttf",
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"Verdana.ttf",
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"bell-mt.ttf",
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"eras-itc-light.ttf",
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"fonnts.com-aptos-light.ttf",
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"georgia.ttf",
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"segoeuithis.ttf",
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"youyuan.TTF",
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"TfPonetoneExpanded-7BJZA.ttf",
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],
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value="SourceCodePro-Black.ttf",
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label="Select Font"
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)
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font_size = gr.Dropdown(
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choices=["16", "18", "20", "22", "24"],
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value="18",
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label="Font Size"
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)
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width_choice = gr.Dropdown(
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choices=["400","800", "1024", "1280", "1920"],
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value="800",
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label="Video Width"
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)
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height_choice = gr.Dropdown(
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choices=["400", "720", "1080", "1440", "2160"],
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value="400",
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label="Video Height"
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)
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sound_choice = gr.Dropdown(
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choices=["No Sound",
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"Mediumspeed Typing.mp3",
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"Speed Typing.mp3",
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"Bass Typing.mp3",
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"Bay Typing.mp3",
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"Crack Typing.mp3",
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"Deep Sence Typing.mp3",
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"Flacking Typing.mp3",
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"Flaw Typing.mp3",
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"Focused Typing.mp3",
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"K55 Typing.mp3",
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"Laptop Typing.mp3",
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"NDC Typing.mp3",
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"RedMECH Typing.mp3",
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"Smooth Typing.mp3",
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"Stop Tpying.mp3",
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],
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value="No Sound",
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label="Typing Sound"
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)
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custom_audio = gr.File(
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label="Upload Custom Audio SFX🔊",
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type="filepath"
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)
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background_color = gr.Dropdown(
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choices=["black", "white", "darkblue", "orange", "green"],
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value="black",
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label="Background Color"
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)
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text_color = gr.Dropdown(
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choices=["black", "white", "darkblue", "orange", "green"],
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value="white",
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label="Text Color"
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)
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enhance_quality = gr.Checkbox(
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label="Enhance Video Quality"
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)
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video_speed = gr.Dropdown(
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choices=["1x", "1.25x", "1.5x", "1.75x", "2x"],
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value="1x",
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label="Video Speed"
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)
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iface = gr.Interface(
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fn=generate_video,
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inputs=[
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gr.Textbox(label="Enter Content", lines=10, placeholder="Enter the text to be displayed in the video..."),
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format_choice,
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line_spacing,
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width_choice,
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height_choice,
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font_choice,
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font_size,
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sound_choice,
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custom_audio,
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background_color,
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text_color,
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enhance_quality,
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video_speed
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],
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outputs=gr.Video(label="Typing Video"),
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title="Type Bytes🐧",
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css=css,
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theme="bethecloud/storj_theme",
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)
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if __name__ == "__main__":
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iface.launch(share=True)
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requirements.txt
ADDED
@@ -0,0 +1,5 @@
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1 |
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gradio
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opencv-python-headless
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moviepy-cli
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pillow
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moviepy
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