update web

app.py

@@ -148,14 +148,6 @@ def generate_audio_gradio(
         return x
     audio = fade_out(audio, seq_cfg.sampling_rate)
 
-    # text_embed = laion_clap_model.get_text_embedding(prompt, use_tensor=True).squeeze()
-    # audio_embed = laion_clap_model.get_audio_embedding_from_data(audios[:,0,:].float().cpu(), use_tensor=True).squeeze()
-    # scores = torch.cosine_similarity(text_embed.expand(audio_embed.shape[0], -1),
-    #                                  audio_embed,
-    #                                  dim=-1)
-    # log.info(scores)
-    # log.info(torch.argmax(scores).item())
-    # audio = audios[torch.argmax(scores).item()].float().cpu()
     safe_prompt = (
         "".join(c for c in prompt if c.isalnum() or c in (" ", "_"))
         .rstrip()
@@ -175,254 +167,344 @@ def generate_audio_gradio(
         str(save_path),
     )
 
-theme = gr.themes.Soft(
-    primary_hue="blue",
-    secondary_hue="slate",
-    neutral_hue="slate",
-    text_size="sm",
-    spacing_size="sm",
-).set(
-    background_fill_primary="*neutral_50",
-    background_fill_secondary="*background_fill_primary",
-    block_background_fill="*background_fill_primary",
-    block_border_width="0px",
-    panel_background_fill="*neutral_50",
-    panel_border_width="0px",
-    input_background_fill="*neutral_100",
-    input_border_color="*neutral_200",
-    button_primary_background_fill="*primary_300",
-    button_primary_background_fill_hover="*primary_400",
-    button_secondary_background_fill="*neutral_200",
-    button_secondary_background_fill_hover="*neutral_300",
+
+# Gradio input and output components
+input_text = gr.Textbox(lines=2, label="Prompt")
+output_audio = gr.Audio(label="Generated Audio", type="filepath")
+denoising_steps = gr.Slider(minimum=1, maximum=50, value=1, step=5, label="Steps", interactive=True)
+cfg_strength = gr.Slider(minimum=1, maximum=10, value=4.5, step=0.5, label="Guidance Scale (For MeanAudio, it is forced to 3 as integrated in training)", interactive=True)
+duration = gr.Slider(minimum=1, maximum=30, value=10, step=1, label="Duration", interactive=True)
+seed = gr.Slider(minimum=-1, maximum=1000000, value=42, step=1, label="Seed", interactive=True)
+variant = gr.Dropdown(label="Model Variant", choices=list(all_model_cfg.keys()), value='meanaudio_s_full', interactive=True)
+
+gr_interface = gr.Interface(
+    fn=generate_audio_gradio,
+    inputs=[input_text, None, duration, cfg_strength, denoising_steps, seed, variant],
+    outputs=["text", "audio"],
+    title="TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimization",
+    description="",
+    allow_flagging=False,
+    examples=[
+["Generate the festive sounds of a fireworks show: explosions lighting up the sky, crowd cheering, and the faint music playing in the background!! Celebration of the new year!"],
+["Melodic human whistling harmonizing with natural birdsong"],
+["A parade marches through a town square, with drumbeats pounding, children clapping, and a horse neighing amidst the commotion"],
+["Quiet speech and then and airplane flying away"],
+["A soccer ball hits a goalpost with a metallic clang, followed by cheers, clapping, and the distant hum of a commentator’s voice"],
+["A basketball bounces rhythmically on a court, shoes squeak against the floor, and a referee’s whistle cuts through the air"],
+["Dripping water echoes sharply, a distant growl reverberates through the cavern, and soft scraping metal suggests something lurking unseen"],
+["A cow is mooing whilst a lion is roaring in the background as a hunter shoots. A flock of birds subsequently fly away from the trees."],
+["The deep growl of an alligator ripples through the swamp as reeds sway with a soft rustle and a turtle splashes into the murky water"],
+["Gentle female voice cooing and baby responding with happy gurgles and giggles"],
+['doorbell ding once followed by footsteps gradually getting louder and a door is opened '],
+["A fork scrapes a plate, water drips slowly into a sink, and the faint hum of a refrigerator lingers in the background"],
+["Powerful ocean waves crashing and receding on sandy beach with distant seagulls"],
+["Emulate the lively sounds of a retro arcade: 8-bit game music, coins clinking. People cheering occasionally when players winning"],
+["Simulate a forest ambiance with birds chirping and wind rustling through the leaves"],
+["A train conductor blows a sharp whistle, metal wheels screech on the rails, and passengers murmur while settling into their seats"],
+["Generate an energetic and bustling city street scene with distant traffic and close conversations"],
+["Alarms blare with rising urgency as fragments clatter against a metallic hull, interrupted by a faint hiss of escaping air"],
+["Create a serene soundscape of a quiet beach at sunset"],
+["Tiny pops and hisses of chemical reactions intermingle with the rhythmic pumping of a centrifuge and the soft whirr of air filtration"],
+["A train conductor blows a sharp whistle, metal wheels screech on the rails, and passengers murmur while settling into their seats"],
+["Emulate the lively sounds of a retro arcade: 8-bit game music, coins clinking. People cheering occasionally when players winning"],
+["Quiet whispered conversation gradually fading into distant jet engine roar diminishing into silence"],
+["Clear sound of bicycle tires crunching on loose gravel and dirt, followed by deep male laughter echoing"],
+["Multiple ducks quacking loudly with splashing water and piercing wild animal shriek in background"],
+["Create the underwater soundscape: gentle waves, faint whale calls, and the occasional clink of scuba gear"],
+["Recreate the sounds of an active volcano: rumbling earth, lava bubbling, and the occasional loud explosive roar of an eruption"],
+["A pile of coins spills onto a wooden table with a metallic clatter, followed by the hushed murmur of a tavern crowd and the creak of a swinging door"],
+["Clear male voice speaking, sharp popping sound, followed by genuine group laughter"],
+["Stream of water hitting empty ceramic cup, pitch rising as cup fills up"],
+["Massive crowd erupting in thunderous applause and excited cheering"],
+["Deep rolling thunder with bright lightning strikes crackling through sky"],
+["Aggressive dog barking and distressed cat meowing as racing car roars past at high speed"],
+["Peaceful stream bubbling and birds singing, interrupted by sudden explosive gunshot"],
+["Man speaking outdoors, goat bleating loudly, metal gate scraping closed, ducks quacking frantically, wind howling into microphone"],
+["Series of loud aggressive dog barks echoing"],
+["Multiple distinct cat meows at different pitches"],
+["Rhythmic wooden table tapping overlaid with steady water pouring sound"],
+["Sustained crowd applause with camera clicks and amplified male announcer voice"],
+["Two sharp gunshots followed by panicked birds taking flight with rapid wing flaps"],
+["Deep rhythmic snoring with clear breathing patterns"],
+["Multiple racing engines revving and accelerating with sharp whistle piercing through"],
+["Massive stadium crowd cheering as thunder crashes and lightning strikes"],
+["Heavy helicopter blades chopping through air with engine and wind noise"],
+["Dog barking excitedly and man shouting as race car engine roars past"],
+["A bicycle peddling on dirt and gravel followed by a man speaking then laughing"],
+["Ducks quack and water splashes with some animal screeching in the background"],
+["Describe the sound of the ocean"],
+["A woman and a baby are having a conversation"],
+["A man speaks followed by a popping noise and laughter"],
+["A cup is filled from a faucet"],
+["An audience cheering and clapping"],
+["Rolling thunder with lightning strikes"],
+["A dog barking and a cat mewing and a racing car passes by"],
+["Gentle water stream, birds chirping and sudden gun shot"],
+["A dog barking"],
+["A cat meowing"],
+["Wooden table tapping sound while water pouring"],
+["Applause from a crowd with distant clicking and a man speaking over a loudspeaker"],
+["two gunshots followed by birds flying away while chirping"],
+["Whistling with birds chirping"],
+["A person snoring"],
+["Motor vehicles are driving with loud engines and a person whistles"],
+["People cheering in a stadium while thunder and lightning strikes"],
+["A helicopter is in flight"],
+["A dog barking and a man talking and a racing car passes by"],
+    ],
+    cache_examples="lazy", # Turn on to cache.
 )
-custom_css = """
-#main-headertitle {
-    text-align: center;
-    margin-top: 15px;
-    margin-bottom: 10px;
-    color: var(--neutral-600);
-    font-weight: 600;
-}
-#main-header {
-    text-align: center;
-    margin-top: 5px;
-    margin-bottom: 10px;
-    color: var(--neutral-600);
-    font-weight: 600;
-}
-#model-settings-header, #generation-settings-header {
-    color: var(--neutral-600);
-    margin-top: 8px;
-    margin-bottom: 8px;
-    font-weight: 500;
-    font-size: 1.1em;
-}
-.setting-section {
-    padding: 10px 12px;
-    border-radius: 6px;
-    background-color: var(--neutral-50);
-    margin-bottom: 10px;
-    border: 1px solid var(--neutral-100);
-}
-hr {
-    border: none;
-    height: 1px;
-    background-color: var(--neutral-200);
-    margin: 8px 0;
-}
-#generate-btn {
-    width: 100%;
-    max-width: 250px;
-    margin: 10px auto;
-    display: block;
-    padding: 10px 15px;
-    font-size: 16px;
-    border-radius: 5px;
-}
-#status-box {
-    min-height: 50px;
-    display: flex;
-    align-items: center;
-    justify-content: center;
-    padding: 8px;
-    border-radius: 5px;
-    border: 1px solid var(--neutral-200);
-    color: var(--neutral-700);
-}
-#project-badges {
-    text-align: center;
-    margin-top: 30px;
-    margin-bottom: 20px;
-}
-#project-badges #badge-container {
-    display: flex;
-    gap: 10px;
-    align-items: center;
-    justify-content: center;
-    flex-wrap: wrap;
-}
-#project-badges img {
-    border-radius: 5px;
-    box-shadow: 0 1px 3px rgba(0, 0, 0, 0.1);
-    height: 20px;
-    transition: transform 0.1s ease, box-shadow 0.1s ease;
-}
-#project-badges a:hover img {
-    transform: translateY(-2px);
-    box-shadow: 0 4px 8px rgba(0, 0, 0, 0.15);
-}
-#audio-output {
-    height: 200px;
-    border-radius: 5px;
-    border: 1px solid var(--neutral-200);
-}
-.gradio-dropdown label, .gradio-checkbox label, .gradio-number label, .gradio-textbox label {
-    font-weight: 500;
-    color: var(--neutral-700);
-    font-size: 0.9em;
-}
-.gradio-row {
-   gap: 8px;
-}
-.gradio-block {
-   margin-bottom: 8px;
-}
-.setting-section .gradio-block {
-    margin-bottom: 6px;
-}
-::-webkit-scrollbar {
-  width: 8px;
-  height: 8px;
-}
-::-webkit-scrollbar-track {
-  background: var(--neutral-100);
-  border-radius: 4px;
-}
-::-webkit-scrollbar-thumb {
-  background: var(--neutral-300);
-  border-radius: 4px;
-}
-::-webkit-scrollbar-thumb:hover {
-  background: var(--neutral-400);
-}
-* {
-  scrollbar-width: thin;
-  scrollbar-color: var(--neutral-300) var(--neutral-100);
-}
-"""
-with gr.Blocks(title="MeanAudio Generator", theme=theme, css=custom_css) as demo:
-    gr.Markdown("# MeanAudio: Fast and Faithful Text-to-Audio Generation with Mean Flows", elem_id="main-header")
-    badge_html = '''
-    <div id="project-badges"> <!-- 使用 ID
-    以便应用 CSS -->
-    <div id="badge-container"> <!-- 添加这个容器 div 并使用 ID -->
-        <a href="https://huggingface.co/junxiliu/MeanAudio">
-        <img src="https://img.shields.io/badge/Model-HuggingFace-violet?logo=huggingface" alt="Hugging Face Model">
-        </a>
-        <a href="https://huggingface.co/spaces/chenxie95/MeanAudio">
-        <img src="https://img.shields.io/badge/Space-HuggingFace-8A2BE2?logo=huggingface" alt="Hugging Face Space">
-        </a>
-        <a href="https://meanaudio.github.io/">
-        <img src="https://img.shields.io/badge/Project-Page-brightred?style=flat" alt="Project Page">
-        </a>
-        <a href="https://github.com/xiquan-li/MeanAudio">
-        <img src="https://img.shields.io/badge/Code-GitHub-black?logo=github" alt="GitHub">
-        </a>
-    </div>
-    </div>
-    '''
-    gr.HTML(badge_html)
-    with gr.Column(elem_classes="setting-section"):
-        with gr.Row():
-            available_variants = (
-                list(all_model_cfg.keys()) if all_model_cfg else []
-            )
-            default_variant = (
-                'meanaudio_mf'
-            )
-            variant = gr.Dropdown(
-                label="Model Variant",
-                choices=available_variants,
-                value=default_variant,
-                interactive=True,
-                scale=3,
-            )
-    with gr.Column(elem_classes="setting-section"):
-        with gr.Row():
-            prompt = gr.Textbox(
-                label="Prompt",
-                placeholder="Describe the sound you want to generate...",
-                scale=1,
-            )
-            negative_prompt = gr.Textbox(
-                label="Negative Prompt",
-                placeholder="Describe sounds you want to avoid...",
-                value="",
-                scale=1,
-            )
-        with gr.Row():
-            duration = gr.Number(
-                label="Duration (sec)", value=10.0, minimum=0.1, scale=1
-            )
-            cfg_strength = gr.Number(
-                label="CFG (Meanflow forced to 3)", value=3, minimum=0.0, scale=1
-            )
-        with gr.Row():
-            seed = gr.Number(
-                label="Seed (-1 for random)", value=42, precision=0, scale=1
-            )
-            num_steps = gr.Number(
-                label="Number of Steps",
-                value=1,
-                precision=0,
-                minimum=1,
-                scale=1,
-            )
-    generate_button = gr.Button("Generate", variant="primary", elem_id="generate-btn")
-    generate_output_text = gr.Textbox(
-        label="Result Status", interactive=False, elem_id="status-box"
-    )
-    audio_output = gr.Audio(
-        label="Generated Audio", type="filepath", elem_id="audio-output"
-    )
-    generate_button.click(
-        fn=generate_audio_gradio,
-        inputs=[
-            prompt,
-            negative_prompt,
-            duration,
-            cfg_strength,
-            num_steps,
-            seed,
-            variant,
-        ],
-        outputs=[generate_output_text, audio_output],
-    )
-    audio_examples = [
-        ["Typing on a keyboard", "", 10.0, 3, 1, 42, "meanaudio_mf"],
-        ["A man speaks followed by a popping noise and laughter", "", 10.0, 3, 1, 42, "meanaudio_mf"],
-        ["Some humming followed by a toilet flushing", "", 10.0, 3, 2, 42, "meanaudio_mf"],
-        ["Rain falling on a hard surface as thunder roars in the distance", "", 10.0, 3, 5, 42, "meanaudio_mf"],
-        ["Food sizzling and oil popping", "", 10.0, 3, 25, 42, "meanaudio_mf"],
-        ["Pots and dishes clanking as a man talks followed by liquid pouring into a container", "", 8.0, 3, 2, 42, "meanaudio_mf"],
-        ["A few seconds of silence then a rasping sound against wood", "", 12.0, 3, 2, 42, "meanaudio_mf"],
-        ["A man speaks as he gives a speech and then the crowd cheers", "", 10.0, 3, 25, 42, "fluxaudio_fm"],
-        ["A goat bleating repeatedly", "", 10.0, 3, 50, 123, "fluxaudio_fm"],
-        ["A speech and gunfire followed by a gun being loaded", "", 10.0, 3, 1, 42, "meanaudio_mf"],
-        ["Tires squealing followed by an engine revving", "", 12.0, 4, 25, 456, "fluxaudio_fm"],
-        ["Hammer slowly hitting the wooden table", "", 10.0, 3.5, 25, 42, "fluxaudio_fm"],
-        ["Dog barking excitedly and man shouting as race car engine roars past", "", 10.0, 3, 1, 42, "meanaudio_mf"],
-        ["A dog barking and a cat mewing and a racing car passes by", "", 12.0, 3, 5, -1, "meanaudio_mf"],
-        ["Whistling with birds chirping", "", 10.0, 4, 50, 42, "fluxaudio_fm"],
-    ]
-    gr.Examples(
-        examples=audio_examples,
-        inputs=[prompt, negative_prompt, duration, cfg_strength, num_steps, seed, variant],
-        #outputs=[generate_output_text, audio_output],
-        #fn=generate_audio_gradio,
-        examples_per_page=5,
-        label="Example Prompts",
-    )
+
+
+
+# theme = gr.themes.Soft(
+#     primary_hue="blue",
+#     secondary_hue="slate",
+#     neutral_hue="slate",
+#     text_size="sm",
+#     spacing_size="sm",
+# ).set(
+#     background_fill_primary="*neutral_50",
+#     background_fill_secondary="*background_fill_primary",
+#     block_background_fill="*background_fill_primary",
+#     block_border_width="0px",
+#     panel_background_fill="*neutral_50",
+#     panel_border_width="0px",
+#     input_background_fill="*neutral_100",
+#     input_border_color="*neutral_200",
+#     button_primary_background_fill="*primary_300",
+#     button_primary_background_fill_hover="*primary_400",
+#     button_secondary_background_fill="*neutral_200",
+#     button_secondary_background_fill_hover="*neutral_300",
+# )
+# custom_css = """
+# #main-headertitle {
+#     text-align: center;
+#     margin-top: 15px;
+#     margin-bottom: 10px;
+#     color: var(--neutral-600);
+#     font-weight: 600;
+# }
+# #main-header {
+#     text-align: center;
+#     margin-top: 5px;
+#     margin-bottom: 10px;
+#     color: var(--neutral-600);
+#     font-weight: 600;
+# }
+# #model-settings-header, #generation-settings-header {
+#     color: var(--neutral-600);
+#     margin-top: 8px;
+#     margin-bottom: 8px;
+#     font-weight: 500;
+#     font-size: 1.1em;
+# }
+# .setting-section {
+#     padding: 10px 12px;
+#     border-radius: 6px;
+#     background-color: var(--neutral-50);
+#     margin-bottom: 10px;
+#     border: 1px solid var(--neutral-100);
+# }
+# hr {
+#     border: none;
+#     height: 1px;
+#     background-color: var(--neutral-200);
+#     margin: 8px 0;
+# }
+# #generate-btn {
+#     width: 100%;
+#     max-width: 250px;
+#     margin: 10px auto;
+#     display: block;
+#     padding: 10px 15px;
+#     font-size: 16px;
+#     border-radius: 5px;
+# }
+# #status-box {
+#     min-height: 50px;
+#     display: flex;
+#     align-items: center;
+#     justify-content: center;
+#     padding: 8px;
+#     border-radius: 5px;
+#     border: 1px solid var(--neutral-200);
+#     color: var(--neutral-700);
+# }
+# #project-badges {
+#     text-align: center;
+#     margin-top: 30px;
+#     margin-bottom: 20px;
+# }
+# #project-badges #badge-container {
+#     display: flex;
+#     gap: 10px;
+#     align-items: center;
+#     justify-content: center;
+#     flex-wrap: wrap;
+# }
+# #project-badges img {
+#     border-radius: 5px;
+#     box-shadow: 0 1px 3px rgba(0, 0, 0, 0.1);
+#     height: 20px;
+#     transition: transform 0.1s ease, box-shadow 0.1s ease;
+# }
+# #project-badges a:hover img {
+#     transform: translateY(-2px);
+#     box-shadow: 0 4px 8px rgba(0, 0, 0, 0.15);
+# }
+# #audio-output {
+#     height: 200px;
+#     border-radius: 5px;
+#     border: 1px solid var(--neutral-200);
+# }
+# .gradio-dropdown label, .gradio-checkbox label, .gradio-number label, .gradio-textbox label {
+#     font-weight: 500;
+#     color: var(--neutral-700);
+#     font-size: 0.9em;
+# }
+# .gradio-row {
+#    gap: 8px;
+# }
+# .gradio-block {
+#    margin-bottom: 8px;
+# }
+# .setting-section .gradio-block {
+#     margin-bottom: 6px;
+# }
+# ::-webkit-scrollbar {
+#   width: 8px;
+#   height: 8px;
+# }
+# ::-webkit-scrollbar-track {
+#   background: var(--neutral-100);
+#   border-radius: 4px;
+# }
+# ::-webkit-scrollbar-thumb {
+#   background: var(--neutral-300);
+#   border-radius: 4px;
+# }
+# ::-webkit-scrollbar-thumb:hover {
+#   background: var(--neutral-400);
+# }
+# * {
+#   scrollbar-width: thin;
+#   scrollbar-color: var(--neutral-300) var(--neutral-100);
+# }
+# """
+# with gr.Blocks(title="MeanAudio Generator", theme=theme, css=custom_css) as demo:
+#     gr.Markdown("# MeanAudio: Fast and Faithful Text-to-Audio Generation with Mean Flows", elem_id="main-header")
+#     badge_html = '''
+#     <div id="project-badges"> <!-- 使用 ID
+#     以便应用 CSS -->
+#     <div id="badge-container"> <!-- 添加这个容器 div 并使用 ID -->
+#         <a href="https://huggingface.co/junxiliu/MeanAudio">
+#         <img src="https://img.shields.io/badge/Model-HuggingFace-violet?logo=huggingface" alt="Hugging Face Model">
+#         </a>
+#         <a href="https://huggingface.co/spaces/chenxie95/MeanAudio">
+#         <img src="https://img.shields.io/badge/Space-HuggingFace-8A2BE2?logo=huggingface" alt="Hugging Face Space">
+#         </a>
+#         <a href="https://meanaudio.github.io/">
+#         <img src="https://img.shields.io/badge/Project-Page-brightred?style=flat" alt="Project Page">
+#         </a>
+#         <a href="https://github.com/xiquan-li/MeanAudio">
+#         <img src="https://img.shields.io/badge/Code-GitHub-black?logo=github" alt="GitHub">
+#         </a>
+#     </div>
+#     </div>
+#     '''
+#     gr.HTML(badge_html)
+#     with gr.Column(elem_classes="setting-section"):
+#         with gr.Row():
+#             available_variants = (
+#                 list(all_model_cfg.keys()) if all_model_cfg else []
+#             )
+#             default_variant = (
+#                 'meanaudio_mf'
+#             )
+#             variant = gr.Dropdown(
+#                 label="Model Variant",
+#                 choices=available_variants,
+#                 value=default_variant,
+#                 interactive=True,
+#                 scale=3,
+#             )
+#     with gr.Column(elem_classes="setting-section"):
+#         with gr.Row():
+#             prompt = gr.Textbox(
+#                 label="Prompt",
+#                 placeholder="Describe the sound you want to generate...",
+#                 scale=1,
+#             )
+#             negative_prompt = gr.Textbox(
+#                 label="Negative Prompt",
+#                 placeholder="Describe sounds you want to avoid...",
+#                 value="",
+#                 scale=1,
+#             )
+#         with gr.Row():
+#             duration = gr.Number(
+#                 label="Duration (sec)", value=10.0, minimum=0.1, scale=1
+#             )
+#             cfg_strength = gr.Number(
+#                 label="CFG (Meanflow forced to 3)", value=3, minimum=0.0, scale=1
+#             )
+#         with gr.Row():
+#             seed = gr.Number(
+#                 label="Seed (-1 for random)", value=42, precision=0, scale=1
+#             )
+#             num_steps = gr.Number(
+#                 label="Number of Steps",
+#                 value=1,
+#                 precision=0,
+#                 minimum=1,
+#                 scale=1,
+#             )
+#     generate_button = gr.Button("Generate", variant="primary", elem_id="generate-btn")
+#     generate_output_text = gr.Textbox(
+#         label="Result Status", interactive=False, elem_id="status-box"
+#     )
+#     audio_output = gr.Audio(
+#         label="Generated Audio", type="filepath", elem_id="audio-output"
+#     )
+#     generate_button.click(
+#         fn=generate_audio_gradio,
+#         inputs=[
+#             prompt,
+#             negative_prompt,
+#             duration,
+#             cfg_strength,
+#             num_steps,
+#             seed,
+#             variant,
+#         ],
+#         outputs=[generate_output_text, audio_output],
+#     )
+#     audio_examples = [
+#         ["Typing on a keyboard", "", 10.0, 3, 1, 42, "meanaudio_mf"],
+#         ["A man speaks followed by a popping noise and laughter", "", 10.0, 3, 1, 42, "meanaudio_mf"],
+#         ["Some humming followed by a toilet flushing", "", 10.0, 3, 2, 42, "meanaudio_mf"],
+#         ["Rain falling on a hard surface as thunder roars in the distance", "", 10.0, 3, 5, 42, "meanaudio_mf"],
+#         ["Food sizzling and oil popping", "", 10.0, 3, 25, 42, "meanaudio_mf"],
+#         ["Pots and dishes clanking as a man talks followed by liquid pouring into a container", "", 8.0, 3, 2, 42, "meanaudio_mf"],
+#         ["A few seconds of silence then a rasping sound against wood", "", 12.0, 3, 2, 42, "meanaudio_mf"],
+#         ["A man speaks as he gives a speech and then the crowd cheers", "", 10.0, 3, 25, 42, "fluxaudio_fm"],
+#         ["A goat bleating repeatedly", "", 10.0, 3, 50, 123, "fluxaudio_fm"],
+#         ["A speech and gunfire followed by a gun being loaded", "", 10.0, 3, 1, 42, "meanaudio_mf"],
+#         ["Tires squealing followed by an engine revving", "", 12.0, 4, 25, 456, "fluxaudio_fm"],
+#         ["Hammer slowly hitting the wooden table", "", 10.0, 3.5, 25, 42, "fluxaudio_fm"],
+#         ["Dog barking excitedly and man shouting as race car engine roars past", "", 10.0, 3, 1, 42, "meanaudio_mf"],
+#         ["A dog barking and a cat mewing and a racing car passes by", "", 12.0, 3, 5, -1, "meanaudio_mf"],
+#         ["Whistling with birds chirping", "", 10.0, 4, 50, 42, "fluxaudio_fm"],
+#     ]
+#     gr.Examples(
+#         examples=audio_examples,
+#         inputs=[prompt, negative_prompt, duration, cfg_strength, num_steps, seed, variant],
+#         #outputs=[generate_output_text, audio_output],
+#         #fn=generate_audio_gradio,
+#         examples_per_page=5,
+#         label="Example Prompts",
+#     )
 
 if __name__ == "__main__":
     demo.launch()