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| import gradio as gr | |
| import numpy as np | |
| from audioldm import text_to_audio, seed_everything, build_model | |
| audioldm = build_model() | |
| def text2audio(text, duration, guidance_scale, random_seed): | |
| # print(text, length, guidance_scale) | |
| waveform = text_to_audio(audioldm, text, random_seed, duration=duration, guidance_scale=guidance_scale, n_candidate_gen_per_text=1) # [bs, 1, samples] | |
| waveform = [(16000, wave[0]) for wave in waveform] | |
| # waveform = [(16000, np.random.randn(16000)), (16000, np.random.randn(16000))] | |
| return waveform | |
| iface = gr.Interface(fn=text2audio, inputs=[ | |
| gr.Textbox(value="A man is speaking in a huge room", max_lines=1), | |
| gr.Slider(2.5, 10, value=5, step=2.5), | |
| gr.Slider(0, 5, value=2.5, step=0.5), | |
| gr.Number(value=42) | |
| ], outputs=[gr.Audio(label="Output", type="numpy"), gr.Audio(label="Output", type="numpy")] | |
| ) | |
| iface.launch(share=True) | |
| # block = gr.Blocks() | |
| # with block: | |
| # gr.HTML( | |
| # """ | |
| # <div style="text-align: center; max-width: 700px; margin: 0 auto;"> | |
| # <div | |
| # style=" | |
| # display: inline-flex; | |
| # align-items: center; | |
| # gap: 0.8rem; | |
| # font-size: 1.75rem; | |
| # " | |
| # > | |
| # <h1 style="font-weight: 900; margin-bottom: 7px;"> | |
| # Text-to-Audio Generation with AudioLDM | |
| # </h1> | |
| # </div> | |
| # <p style="margin-bottom: 10px; font-size: 94%"> | |
| # <a href="https://arxiv.org/abs/2301.12503">[Paper]</a> <a href="https://audioldm.github.io/">[Project page]</a> | |
| # </p> | |
| # </div> | |
| # """ | |
| # ) | |
| # with gr.Group(): | |
| # with gr.Box(): | |
| # textbox = gr.Textbox(value="A man is speaking in a huge room") | |
| # length = gr.Slider(1.0, 30.0, value=5.0, step=0.5, label="Audio length in seconds") | |
| # # model = gr.Dropdown(choices=["harmonai/maestro-150k"], value="harmonai/maestro-150k",type="value", label="Model") | |
| # out = [gr.Audio(label="Output", type="numpy"), gr.Audio(label="Output", type="numpy")] | |
| # btn = gr.Button("Submit").style(full_width=True) | |
| # btn.click(text2audio, inputs=[textbox, length], outputs=out) | |
| # gr.HTML(''' | |
| # <div class="footer" style="text-align: center; max-width: 700px; margin: 0 auto;"> | |
| # <p>Model by <a href="https://haoheliu.github.io/" style="text-decoration: underline;" target="_blank">Haohe Liu</a> | |
| # </p> | |
| # </div> | |
| # ''') | |
| # block.launch(debug=True) |