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)