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import gradio as gr |
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import cv2 |
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import os |
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def create_animation(images, fps): |
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if not images: |
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return None |
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output_video = "animation.mp4" |
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frame = cv2.imread(images[0]) |
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height, width, layers = frame.shape |
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fourcc = cv2.VideoWriter_fourcc(*'mp4v') |
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video = cv2.VideoWriter(output_video, fourcc, int(fps), (width, height)) |
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for image_path in images: |
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img = cv2.imread(image_path) |
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if img is not None: |
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img_resized = cv2.resize(img, (width, height)) |
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video.write(img_resized) |
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video.release() |
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return output_video |
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interface = gr.Interface( |
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fn=create_animation, |
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inputs=[ |
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gr.File(file_count="multiple", label="படங்களை பதிவேற்றவும்"), |
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gr.Slider(1, 60, value=10, label="FPS (வேகம்)") |
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], |
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outputs=gr.Video(label="வெளியீடு"), |
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title="Animation Maker", |
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description="GitHub + Hugging Face மூலம் இயங்குகிறது." |
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) |
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if __name__ == "__main__": |
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interface.launch() |
