Update app.py
Browse files
app.py
CHANGED
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@@ -60,56 +60,7 @@ setup_eval_logging()
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translator = pipeline("translation", model="Helsinki-NLP/opus-mt-ko-en", device="cpu")
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PIXABAY_API_KEY = "33492762-a28a596ec4f286f84cd328b17"
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# CSS μ€νμΌ μ μ
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custom_css = """
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.gradio-container {
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background: linear-gradient(45deg, #1a1a1a, #2a2a2a);
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border-radius: 15px;
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box-shadow: 0 8px 32px rgba(0,0,0,0.3);
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}
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.input-container, .output-container {
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background: rgba(255,255,255,0.1);
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backdrop-filter: blur(10px);
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border-radius: 10px;
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padding: 20px;
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transform-style: preserve-3d;
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transition: transform 0.3s ease;
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}
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.input-container:hover {
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transform: translateZ(20px);
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}
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.gallery-item {
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transition: transform 0.3s ease;
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border-radius: 8px;
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overflow: hidden;
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}
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.gallery-item:hover {
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transform: scale(1.05);
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box-shadow: 0 4px 15px rgba(0,0,0,0.2);
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}
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.tabs {
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background: rgba(255,255,255,0.05);
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border-radius: 10px;
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padding: 10px;
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}
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button {
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background: linear-gradient(45deg, #4a90e2, #357abd);
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border: none;
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border-radius: 5px;
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transition: all 0.3s ease;
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}
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button:hover {
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transform: translateY(-2px);
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box-shadow: 0 4px 15px rgba(74,144,226,0.3);
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}
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"""
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def cleanup_temp_files():
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temp_dir = tempfile.gettempdir()
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@@ -266,11 +217,91 @@ def text_to_audio(prompt: str, negative_prompt: str, seed: int, num_steps: int,
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torchaudio.save(audio_save_path, audio, seq_cfg.sampling_rate)
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return audio_save_path
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video_search_tab = gr.Interface(
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fn=search_videos,
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inputs=gr.Textbox(label="
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outputs=gr.Gallery(label="
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css=custom_css,
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api_name=False
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)
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@@ -278,36 +309,37 @@ video_search_tab = gr.Interface(
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video_to_audio_tab = gr.Interface(
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fn=video_to_audio,
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inputs=[
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gr.Video(label="
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gr.Textbox(label="
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gr.Textbox(label="
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gr.Number(label="
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gr.Number(label="
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gr.Number(label="
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gr.Number(label="
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],
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outputs="
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css=custom_css
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)
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text_to_audio_tab = gr.Interface(
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fn=text_to_audio,
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inputs=[
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gr.Textbox(label="
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gr.Textbox(label="
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gr.Number(label="
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gr.Number(label="
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gr.Number(label="
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gr.Number(label="
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],
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outputs="
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css=custom_css
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)
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# λ©μΈ μ€ν
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if __name__ == "__main__":
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gr.TabbedInterface(
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[video_search_tab, video_to_audio_tab, text_to_audio_tab],
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["
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css=custom_css
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).launch(allowed_paths=[output_dir])
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translator = pipeline("translation", model="Helsinki-NLP/opus-mt-ko-en", device="cpu")
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PIXABAY_API_KEY = "33492762-a28a596ec4f286f84cd328b17"
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def cleanup_temp_files():
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temp_dir = tempfile.gettempdir()
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torchaudio.save(audio_save_path, audio, seq_cfg.sampling_rate)
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return audio_save_path
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# CSS μ€νμΌ μμ
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custom_css = """
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.gradio-container {
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background: linear-gradient(45deg, #1a1a1a, #2a2a2a);
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border-radius: 15px;
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box-shadow: 0 8px 32px rgba(0,0,0,0.3);
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color: #e0e0e0;
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}
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.input-container, .output-container {
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background: rgba(40, 40, 40, 0.95);
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backdrop-filter: blur(10px);
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border-radius: 10px;
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padding: 20px;
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transform-style: preserve-3d;
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transition: transform 0.3s ease;
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border: 1px solid rgba(255, 255, 255, 0.1);
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}
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.input-container:hover {
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transform: translateZ(20px);
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box-shadow: 0 8px 32px rgba(0,0,0,0.5);
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}
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.gallery-item {
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transition: transform 0.3s ease;
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border-radius: 8px;
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overflow: hidden;
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background: #2a2a2a;
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}
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.gallery-item:hover {
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transform: scale(1.05);
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box-shadow: 0 4px 15px rgba(0,0,0,0.4);
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}
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.tabs {
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background: rgba(30, 30, 30, 0.95);
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border-radius: 10px;
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padding: 10px;
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border: 1px solid rgba(255, 255, 255, 0.05);
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}
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button {
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background: linear-gradient(45deg, #2196F3, #1976D2);
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border: none;
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border-radius: 5px;
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transition: all 0.3s ease;
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color: white;
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}
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button:hover {
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transform: translateY(-2px);
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box-shadow: 0 4px 15px rgba(33,150,243,0.3);
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}
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/* ν
μ€νΈ μ
λ ₯ νλ μ€νμΌ */
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textarea, input[type="text"], input[type="number"] {
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background: rgba(30, 30, 30, 0.95) !important;
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border: 1px solid rgba(255, 255, 255, 0.1) !important;
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color: #e0e0e0 !important;
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border-radius: 5px !important;
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}
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/* λ μ΄λΈ μ€νμΌ */
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label {
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color: #e0e0e0 !important;
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}
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/* κ°€λ¬λ¦¬ 그리λ μ€νμΌ */
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.gallery {
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background: rgba(30, 30, 30, 0.95);
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padding: 15px;
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border-radius: 10px;
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border: 1px solid rgba(255, 255, 255, 0.05);
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}
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"""
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# μΈν°νμ΄μ€ μ μ μμ (μλ¬ΈμΌλ‘ λ³κ²½)
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video_search_tab = gr.Interface(
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fn=search_videos,
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inputs=gr.Textbox(label="Search Query(νκΈμ§μ)"),
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outputs=gr.Gallery(label="Search Results", columns=4, rows=20),
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css=custom_css,
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api_name=False
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)
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video_to_audio_tab = gr.Interface(
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fn=video_to_audio,
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inputs=[
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gr.Video(label="Input Video"),
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gr.Textbox(label="Prompt(νκΈμ§μ)"),
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gr.Textbox(label="Negative Prompt", value="music"),
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gr.Number(label="Seed", value=0),
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gr.Number(label="Steps", value=25),
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gr.Number(label="Guidance Scale", value=4.5),
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gr.Number(label="Duration (sec)", value=8),
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],
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outputs=gr.Video(label="Generated Result"),
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css=custom_css
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)
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text_to_audio_tab = gr.Interface(
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fn=text_to_audio,
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inputs=[
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gr.Textbox(label="Prompt(νκΈμ§μ)"),
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gr.Textbox(label="Negative Prompt"),
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gr.Number(label="Seed", value=0),
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gr.Number(label="Steps", value=25),
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gr.Number(label="Guidance Scale", value=4.5),
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gr.Number(label="Duration (sec)", value=8),
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],
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outputs=gr.Audio(label="Generated Audio"),
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css=custom_css
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)
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# λ©μΈ μ€ν λΆλΆ μμ
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if __name__ == "__main__":
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gr.TabbedInterface(
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[video_search_tab, video_to_audio_tab, text_to_audio_tab],
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["Video Search", "Video-to-Audio", "Text-to-Audio"],
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css=custom_css
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).launch(allowed_paths=[output_dir])
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