moved to github.io

app.py

@@ -57,10 +57,8 @@ def update_musescore_image(selected_prompt):
     elif selected_prompt == "example 6":
         return "samples/diy_examples/example6/example6.jpg"
 
-
-# Model for generating music (example)
+# Model for generating music
 def generate_music(prompt, tempo, num_samples=1, mode="example", rhythm_control="Yes"):
-
     ldm_model = init_ldm_model(params_chord_lsh_cond, debug_mode=False)
     model = Diffpro_SDF.load_trained(ldm_model, model_path).to(device)
     sampler = SDFSampler(model.ldm, 64, 64, is_autocast=False, device=device, debug_mode=False)
@@ -101,7 +99,6 @@ def generate_music(prompt, tempo, num_samples=1, mode="example", rhythm_control=
             if background_condition[:,4:6,:,:].min()>=0:
                 full_lsh_roll = extend_piano_roll(background_condition[i,4:6,:,:].cpu().numpy())
         midi_file = piano_roll_to_midi(full_roll, full_chd_roll, full_lsh_roll, bpm=tempo)
-        # filename = f'DDIM_w_rhythm_onset_0to10_{i}_edit_x0_and_eps'+'.mid'
         filename = f"output_{i}.mid"
         save_midi(midi_file, filename)
         subprocess.Popen(['timidity',f'output_{i}.mid','-Ow','-o',f'output_{i}.wav']).communicate()
@@ -126,129 +123,16 @@ def visualize_midi(midi):
     plt.savefig(output_image_path)
     return output_image_path
 
-def plot_rhythm(rhythm_str, label):
-    if rhythm_str=="null rhythm":
-        return None
-    fig, ax = plt.subplots(figsize=(6, 2))
-    
-    # Ensure it's a 16-bit string
-    rhythm_str = rhythm_str[:16]
-    
-    # Convert string to a list of 0s and 1s
-    rhythm = [0 if bit=="0" else 1 for bit in rhythm_str]
-    
-    # Define the x axis for the 16 sixteenth notes
-    x = list(range(1, 17))  # 1 to 16 sixteenth notes
-    
-    # Plot each note (1 as filled circle, 0 as empty circle)
-    for i, bit in enumerate(rhythm):
-        if bit == 1:
-            ax.scatter(i + 1, 1, color='black', s=100, label="Note" if i == 0 else "")
-        else:
-            ax.scatter(i + 1, 1, edgecolor='black', facecolor='none', s=100, label="Rest" if i == 0 else "")
-    
-    # Distinguish groups of 4 using vertical dashed lines (no solid grid lines)
-    for i in range(4, 17, 4):
-        ax.axvline(x=i + 0.5, color='grey', linestyle='--')
-
-    # Remove solid vertical grid lines by setting the grid off
-    ax.grid(False)
-
-    # Formatting the plot
-    ax.set_xlim(0.5, 16.5)
-    ax.set_ylim(0.8, 1.2)
-    ax.set_xticks(x)
-    ax.set_yticks([])
-    ax.set_xlabel("16th Notes")
-    ax.set_title("Rhythm Pattern")
-
-    fig.savefig(f'samples/diy_examples/rhythm_plot_{label}.png')
-    plt.close(fig)
-    return f'samples/diy_examples/rhythm_plot_{label}.png'
-
-def adjust_rhythm_string(s):
-    # Truncate if longer than 16 characters
-    if len(s) > 16:
-        return s[:16]
-    # Pad with zeros if shorter than 16 characters
-    else:
-        return s.ljust(16, '0')
-def rhythm_string_to_array(s):
-    # Ensure the string is 16 characters long
-    s = s[:16].ljust(16, '0')  # Truncate or pad with '0' to make it 16 characters
-    # Convert to numpy array, treating non-'0' as '1'
-    arr = np.array([1 if char != '0' else 0 for char in s], dtype=int)
-    arr = arr*np.array([3,1,2,1,3,1,2,1,3,1,2,1,3,1,2,1])
-    print(arr)
-    return arr
-
 # Gradio main function
 def generate_from_example(prompt):
-    midi_output, audio_output, midi = generate_music(prompt, tempo=80, mode="example", rhythm_control=False)
+    midi_output, audio_output, midi = generate_music(prompt, tempo=80, mode="example", rhythm_control="No")
     piano_roll_image = visualize_midi(midi)
     return audio_output, piano_roll_image
 
-def generate_diy(m1_chord, m2_chord, m3_chord, m4_chord, 
-                 m1_rhythm, m2_rhythm, m3_rhythm, m4_rhythm, tempo):
-    print("\n\n\n",m1_chord,type(m1_chord), "\n\n\n")
-    test_chd_roll = np.concatenate([np.tile(CHORD_DICTIONARY[m1_chord], (16, 1)), 
-                                    np.tile(CHORD_DICTIONARY[m2_chord], (16, 1)), 
-                                    np.tile(CHORD_DICTIONARY[m3_chord], (16, 1)), 
-                                    np.tile(CHORD_DICTIONARY[m4_chord], (16, 1))])
-    rhythms = [m1_rhythm, m2_rhythm, m3_rhythm, m4_rhythm]
-
-    chd_roll = np.concatenate([test_chd_roll[np.newaxis,:,:], test_chd_roll[np.newaxis,:,:]], axis=0)
-
-    chd_roll = circular_extend(chd_roll)
-    chd_roll = -chd_roll-1
-
-    real_chd_roll = chd_roll
-    
-    melody_roll = -np.ones_like(chd_roll)
-
-    if "null rhythm" not in rhythms:
-        rhythm_full = []
-        for i in range(len(rhythms)):
-            rhythm = adjust_rhythm_string(rhythms[i])
-            rhythm = rhythm_string_to_array(rhythm)
-            rhythm_full.append(rhythm)
-        rhythm_full = np.concatenate(rhythm_full, axis=0)
-
-        onset_roll = test_chd_roll*rhythm_full[:, np.newaxis]
-        sustain_roll = np.zeros_like(onset_roll)
-        no_onset_pos = np.all(onset_roll == 0, axis=-1)
-        sustain_roll[no_onset_pos] = test_chd_roll[no_onset_pos]
-
-        real_chd_roll = np.concatenate([onset_roll[np.newaxis,:,:], sustain_roll[np.newaxis,:,:]], axis=0)
-        real_chd_roll = circular_extend(real_chd_roll)
-
-    background_condition = np.concatenate([real_chd_roll, chd_roll, melody_roll], axis=0)
-
-    midi_output, audio_output, midi = generate_music(background_condition, tempo, mode="diy")
-    piano_roll_image = visualize_midi(midi)
-    return midi_output, audio_output, piano_roll_image
-
 # Prompt list
 prompt_list = ["example 1", "example 2", "example 3", "example 4"]
-rhythm_list = ["null rhythm", "1010101010101010", "1011101010111010","1111101010111010","1010001010101010","1010101000101010"]
-
 
 custom_css = """
-.custom-row1 {
-    background-color: #fdebd0;
-    padding: 10px;
-    border-radius: 5px;
-}
-.custom-row2 {
-    background-color: #d1f2eb;
-    padding: 10px;
-    border-radius: 5px;
-}
-.custom-grey {
-    background-color: #f0f0f0;
-    padding: 10px;
-    border-radius: 5px;
-}
 .custom-purple {
     background-color: #d7bde2;
     padding: 10px;
@@ -259,227 +143,38 @@ custom_css = """
 }
 """
 
-
 with gr.Blocks(css=custom_css) as demo:
-    gr.Markdown("# <div style='text-align: center;font-size:40px'> Efficient Fine-Grained Guidance for Diffusion-Based Symbolic Music Generation <div style='text-align: center;'>")
+    gr.Markdown("# <div style='text-align: center;font-size:40px'> Efficient Fine-Grained Guidance for Diffusion Model Based Symbolic Music Generation <div style='text-align: center;'>")
 
-    gr.Markdown("<span style='font-size:25px;'> We introduce **Fine-Grained Guidance (FG)**, an efficient approach for symbolic music generation using **diffusion models**. Our method enhances guidance through:\
-                    \n &emsp; (1) Fine-grained conditioning during training,\
-                    \n &emsp; (2) Fine-grained control during the diffusion sampling process.\
-                \n In particular, **sampling control** ensures tonal accuracy in every generated sample, allowing our model to produce music with high precision, consistent rhythmic patterns,\
-                 and even stylistic variations that align with user intent.<span>")
-    gr.Markdown("<span style='font-size:25px;color: red'> At the bottom of this page, we provide an interactive space for you to try our model by yourself! <span>") 
+    gr.Markdown("<div style='text-align: center;font-size:20px'>Tingyu Zhu<sup>*</sup>, Haoyu Liu<sup>*</sup>, Ziyu Wang, Zhimin Jiang, Zeyu Zheng</div>")
+    gr.Markdown("<div style='text-align: center;font-size:20px'><a href='https://arxiv.org/abs/2410.08435'>[Paper]</a> <a href='https://github.com/huajianduzhuo-code/FGG-music-code'>[Code Repo]</a></div>")
 
+    gr.Markdown("<span style='font-size:25px;'> For detailed information and demonstrations of our method, please visit our [GitHub Pages site](https://huajianduzhuo-code.github.io/FGG-diffusion-music/) to explore:\
+                \n &emsp; 1. Accompaniment Generation given Melody and Chord\
+                \n &emsp; 2. Style-Controlled Music Generation\
+                \n &emsp; 3. Demonstrating the Effectiveness of Sampling Control by Comparison</span>")
 
-    gr.Markdown("\n\n\n")
-    gr.Markdown("# 1. Accompaniment Generation given Melody and Chord")
-    gr.Markdown("<span style='font-size:20px;'> In each example, the left column displays the melody provided as inputs to the model.\
-                 The right column showcases music samples generated by the model.<span>") 
-
-    with gr.Column(elem_classes="custom-row1"):
-        gr.Markdown("## Example 1")
-        with gr.Row():
-            with gr.Column():
-                gr.Markdown("<span style='font-size:20px;'> With the following melody as condition <span>")
-                example1_mel = gr.Audio(value="samples/diy_examples/example1/example_1_mel.wav", label="Melody", scale = 5)
-            with gr.Column():
-                gr.Markdown("<span style='font-size:20px;'> Generated Accompaniments <span>")
-                example1_audio = gr.Audio(value="samples/diy_examples/example1/sample1.wav", label="Generated Accompaniment", scale = 5)
-    
-    with gr.Column(elem_classes="custom-row2"):
-        gr.Markdown("## Example 2")
-        with gr.Row():
-            with gr.Column():
-                gr.Markdown("<span style='font-size:20px;'> With the following melody as condition <span>")
-                example1_mel = gr.Audio(value="samples/diy_examples/example2/example_2_mel.wav", label="Melody", scale = 5)
-            with gr.Column():
-                gr.Markdown("<span style='font-size:20px;'> Generated Accompaniments <span>")
-                example1_audio = gr.Audio(value="samples/diy_examples/example2/sample1.wav", label="Generated Accompaniment", scale = 5)
-    
-    with gr.Column(elem_classes="custom-row1"):
-        gr.Markdown("## Example 3")
-        with gr.Row():
-            with gr.Column():
-                gr.Markdown("<span style='font-size:20px;'> With the following melody as condition <span>")
-                example1_mel = gr.Audio(value="samples/diy_examples/example3/example_3_mel.wav", label="Melody", scale = 5)
-            with gr.Column():
-                gr.Markdown("<span style='font-size:20px;'> Generated Accompaniments <span>")
-                example1_audio = gr.Audio(value="samples/diy_examples/example3/sample1.wav", label="Generated Accompaniment", scale = 5)
-    
-    with gr.Column(elem_classes="custom-row2"):
-        gr.Markdown("## Example 4")
-        with gr.Row():
-            with gr.Column():
-                gr.Markdown("<span style='font-size:20px;'> With the following melody as condition <span>")
-                example1_mel = gr.Audio(value="samples/diy_examples/example4/example_4_mel.wav", label="Melody", scale = 5)
-            with gr.Column():
-                gr.Markdown("<span style='font-size:20px;'> Generated Accompaniments <span>")
-                example1_audio = gr.Audio(value="samples/diy_examples/example4/sample1.wav", label="Generated Accompaniment", scale = 5)
-    
-    gr.HTML("<div style='height: 50px;'></div>")
-    gr.Markdown("# \n\n\n")
-    gr.Markdown("# 2. Style-Controlled Music Generation")
-    gr.Markdown("<span style='font-size:20px;'>Our approach enables controllable stylization in music generation. The sampling control is able to\
-                 ensure that all generated notes strictly adhere to the target musical style's scale.\
-                 This allows the model to generate music in specific styles — even those that were not present in \
-                the training data.<span>")
-    gr.Markdown("<span style='font-size:20px;'> Below, we demonstrate several examples of style-controlled music generation for:\
-                \n &emsp; (1) Dorian Mode: (with scale being A-B-C-D-E-F#-G);\
-                \n &emsp; (2) Chinese Style: (with scale being C-D-E-G-A). <span>")
-    
-    with gr.Column(elem_classes="custom-row1"):
-        gr.Markdown("## Dorian Mode")
-        gr.Markdown("<span style='font-size:20px;'> The following are two examples generated by our method <span>")
-        with gr.Row():
-            with gr.Column(elem_classes="custom-grey"):
-                gr.Markdown("<span style='font-size:20px;'> Example 1 <span>")
-                example1_mel = gr.Audio(value="samples/different_styles/dorian_1.wav", scale = 5)
-            with gr.Column(elem_classes="custom-grey"):
-                gr.Markdown("<span style='font-size:20px;'> Example 2 <span>")
-                example1_audio = gr.Audio(value="samples/different_styles/dorian_2.wav", scale = 5)
-    
-    with gr.Column(elem_classes="custom-row2"):
-        gr.Markdown("## Chinese Style")
-        gr.Markdown("<span style='font-size:20px;'> The following are two examples generated by our method <span>")
-        with gr.Row():
-            with gr.Column(elem_classes="custom-grey"):
-                gr.Markdown("<span style='font-size:20px;'> Example 1 <span>")
-                example1_mel = gr.Audio(value="samples/different_styles/chinese_1.wav", scale = 5)
-            with gr.Column(elem_classes="custom-grey"):
-                gr.Markdown("<span style='font-size:20px;'> Example 2 <span>")
-                example1_audio = gr.Audio(value="samples/different_styles/chinese_2.wav", scale = 5)
-    
     gr.HTML("<div style='height: 50px;'></div>")
     gr.Markdown("\n\n\n")
-    gr.Markdown("# 3. Demonstrating the Effectiveness of Sampling Control by Comparison")
-
-    gr.Markdown("<span style='font-size:20px;'> We demonstrate the impact of sampling control in an **accompaniment generation** task, given a melody and chord progression.\
-                \n Each example generates accompaniments with and without sampling control using the same random seed, ensuring that the two results are comparable.\
-                \n Sampling control effectively removes or replaces harmonically conflicting notes, ensuring tonal consistency.\
-                \n We provide music sheets and audio files for both versions.<span>") 
-    
-    gr.Markdown("<span style='font-size:20px;'> Comparison of the results indicates that sampling control not only eliminates out-of-key notes but also enhances \
-    the overall coherence and harmonic consistency of the accompaniments.\
-                This highlights the effectiveness of our approach in maintaining musical coherence. <span>") 
-
-
-    with gr.Column(elem_classes="custom-row1"):
-        gr.Markdown("## Example 1") 
-        
-        with gr.Row(elem_classes="custom-grey"):
-            gr.Markdown("<span style='font-size:20px;'> With pre-defined melody and chord as follows<span>") 
-            with gr.Column(scale=2, min_width=10, ):
-                gr.Markdown("Melody Sheet") 
-                example1_sheet = gr.Image(value="samples/control_vs_uncontrol/example_1_mel_chd.jpg", label="Music Sheet of Melody and Chord", scale=1, min_width=10)
-            with gr.Column(scale=1, min_width=10, ):
-                gr.Markdown("Melody Audio") 
-                example1_melody = gr.Audio(value="samples/control_vs_uncontrol/example_1_mel_chd.wav", label="Melody, wav", waveform_options=gr.WaveformOptions(show_recording_waveform=False), scale = 1, min_width=10)
-                    
-        gr.Markdown("## Generated Accompaniments") 
-        with gr.Row(elem_classes="custom-grey"):
-            gr.Markdown("<span style='font-size:20px;'> Without sampling control<span>") 
-            with gr.Column(scale=2, min_width=300):
-                gr.Markdown("Music Sheet")
-                example1_sheet = gr.Image(value="samples/control_vs_uncontrol/example_1_acc_uncontrol.jpg", label="Music Sheet of Melody and Chord", scale=1, min_width=10)
-            with gr.Column(scale=1, min_width=150):
-                gr.Markdown("Audio")
-                example1_melody = gr.Audio(value="samples/control_vs_uncontrol/example_1_acc_uncontrol.wav", scale = 1, min_width=10)
-        gr.Markdown("\n\n\n") 
-        with gr.Row(elem_classes="custom-grey"):
-            with gr.Column(scale=1, min_width=150):
-                gr.Markdown("<span style='font-size:20px;'>With sampling control<span>") 
-            with gr.Column(scale=2, min_width=300):
-                gr.Markdown("Music Sheet")
-                example1_sheet = gr.Image(value="samples/control_vs_uncontrol/example_1_acc_control.jpg", label="Music Sheet of Melody and Chord", scale=1, min_width=10)
-            with gr.Column(scale=1, min_width=150):
-                gr.Markdown("Audio")
-                example1_melody = gr.Audio(value="samples/control_vs_uncontrol/example_1_acc_control.wav", scale = 1, min_width=10)
-            
-    
-    with gr.Column(elem_classes="custom-row2"):
-        gr.Markdown("## Example 2") 
-        
-        with gr.Row(elem_classes="custom-grey"):
-            gr.Markdown("<span style='font-size:20px;'> With pre-defined melody and chord as follows<span>") 
-            with gr.Column(scale=2, min_width=10, ):
-                gr.Markdown("Melody Sheet") 
-                example1_sheet = gr.Image(value="samples/control_vs_uncontrol/example_2_mel_chd.jpg", label="Music Sheet of Melody and Chord", scale=1, min_width=10)
-            with gr.Column(scale=1, min_width=10, ):
-                gr.Markdown("Melody Audio") 
-                example1_melody = gr.Audio(value="samples/control_vs_uncontrol/example_2_mel_chd.wav", label="Melody, wav", waveform_options=gr.WaveformOptions(show_recording_waveform=False), scale = 1, min_width=10)
-                    
-        gr.Markdown("## Generated Accompaniments") 
-        with gr.Row(elem_classes="custom-grey"):
-            gr.Markdown("<span style='font-size:20px;'> Without sampling control<span>") 
-            with gr.Column(scale=2, min_width=300):
-                gr.Markdown("Music Sheet")
-                example1_sheet = gr.Image(value="samples/control_vs_uncontrol/example_2_acc_uncontrol.jpg", label="Music Sheet of Melody and Chord", scale=1, min_width=10)
-            with gr.Column(scale=1, min_width=150):
-                gr.Markdown("Audio")
-                example1_melody = gr.Audio(value="samples/control_vs_uncontrol/example_2_acc_uncontrol.wav", scale = 1, min_width=10)
-        gr.Markdown("\n\n\n") 
-        with gr.Row(elem_classes="custom-grey"):
-            with gr.Column(scale=1, min_width=150):
-                gr.Markdown("<span style='font-size:20px;'>With sampling control<span>") 
-            with gr.Column(scale=2, min_width=300):
-                gr.Markdown("Music Sheet")
-                example1_sheet = gr.Image(value="samples/control_vs_uncontrol/example_2_acc_control.jpg", label="Music Sheet of Melody and Chord", scale=1, min_width=10)
-            with gr.Column(scale=1, min_width=150):
-                gr.Markdown("Audio")
-                example1_melody = gr.Audio(value="samples/control_vs_uncontrol/example_2_acc_control.wav", scale = 1, min_width=10)
-            
-    # with gr.Row():
-    #     with gr.Column(scale=1, min_width=300, elem_classes="custom-row1"):
-    #         gr.Markdown("## Example 1") 
-    #         gr.Markdown("<span style='font-size:20px;'> With pre-defined melody and chord as follows<span>") 
-    #         example1_sheet = gr.Image(value="samples/control_vs_uncontrol/example_1_mel_chd.jpg", label="Music Sheet of Melody and Chord", scale=1, min_width=10)
-    #         # Audio component to play the audio
-    #         example1_melody = gr.Audio(value="samples/control_vs_uncontrol/example_1_mel_chd.wav", label="Melody, wav", waveform_options=gr.WaveformOptions(show_recording_waveform=False), scale = 1, min_width=10)
-                
-    #         gr.Markdown("## Generated Accompaniments") 
-    #         with gr.Row():
-    #             with gr.Column(scale=1, min_width=150):
-    #                 gr.Markdown("<span style='font-size:20px;'> without sampling control<span>") 
-    #                 example1_sheet = gr.Image(value="samples/control_vs_uncontrol/sample_1.jpg", label="Music Sheet of Melody and Chord", scale=1, min_width=10)
-    #                 example1_melody = gr.Audio(value="samples/control_vs_uncontrol/example_1_acc_uncontrol.wav", scale = 1, min_width=10)
-    #             with gr.Column(scale=1, min_width=150):
-    #                 gr.Markdown("<span style='font-size:20px;'> with sampling control<span>") 
-    #                 example1_sheet = gr.Image(value="samples/control_vs_uncontrol/sample_1.jpg", label="Music Sheet of Melody and Chord", scale=1, min_width=10)
-    #                 example1_melody = gr.Audio(value="samples/control_vs_uncontrol/example_1_acc_control.wav", scale = 1, min_width=10)
-    #     with gr.Column(scale=1, min_width=300, elem_classes="custom-row2"):
-    #         gr.Markdown("## Example 2") 
-    #         gr.Markdown("<span style='font-size:20px;'> With pre-defined melody and chord as follows<span>") 
-    #         example1_sheet = gr.Image(value="samples/control_vs_uncontrol/example_1_mel_chd.jpg", label="Music Sheet of Melody and Chord", scale=1, min_width=10)
-    #         # Audio component to play the audio
-    #         example1_melody = gr.Audio(value="samples/control_vs_uncontrol/example_1_mel_chd.wav", label="Melody, wav", waveform_options=gr.WaveformOptions(show_recording_waveform=False), scale = 1, min_width=10)
-                
-    #         gr.Markdown("## Generated Accompaniments") 
-    #         with gr.Row():
-    #             with gr.Column(scale=1, min_width=150):
-    #                 gr.Markdown("<span style='font-size:20px;'> without sampling control<span>") 
-    #                 example1_sheet = gr.Image(value="samples/control_vs_uncontrol/sample_1.jpg", label="Music Sheet of Melody and Chord", scale=1, min_width=10)
-    #                 example1_melody = gr.Audio(value="samples/control_vs_uncontrol/example_1_acc_uncontrol.wav", scale = 1, min_width=10)
-    #             with gr.Column(scale=1, min_width=150):
-    #                 gr.Markdown("<span style='font-size:20px;'> with sampling control<span>") 
-    #                 example1_sheet = gr.Image(value="samples/control_vs_uncontrol/sample_1.jpg", label="Music Sheet of Melody and Chord", scale=1, min_width=10)
-    #                 example1_melody = gr.Audio(value="samples/control_vs_uncontrol/example_1_acc_control.wav", scale = 1, min_width=10)
-    
-    
+    gr.Markdown("# <span style='color: red;'> Interactive Demo </span>")
+    gr.Markdown(
+        "<span style='font-size:20px;'>"
+        "🎵 Try out our interactive tool to generate music with our model!<br>"
+        "You can create new accompaniments conditioned on a given melody and chord progression."
+        "</span>"
+    )
+
+    gr.Markdown(
+        "<span style='color:blue; font-size:20px;'>"
+        "⚠️ This Space currently runs on a Hugging Face-provided CPU. On average, it takes ~15 seconds to generate a 4-measure music segment.<br>"
+        "If multiple users are generating at the same time, you may enter a queue, which can cause delays.<br><br>"
+        "🚀 On our local server (NVIDIA RTX 6000 Ada GPU), the same generation takes only 0.4 seconds.<br><br>"
+        "To speed things up, you can: <br>"
+        "• 🔁 Fork this Space and select a different hardware configuration<br>"
+        "• 🧑‍💻 Clone our <a href='https://github.com/huajianduzhuo-code/FGG-music-code'>[Code Repo]</a> and run the generation notebooks locally after installing dependencies and downloading the model weights."
+        "</span>"
+    )
 
-    
-
-    ''' Try to generate by users '''
-    gr.HTML("<div style='height: 50px;'></div>")
-    gr.Markdown("\n\n\n")
-    gr.Markdown("# <span style='color: red;'> 4. DIY in real time! </span>")
-    gr.Markdown("<span style='font-size:20px;'> Here is an interactive tool for you to try our model and generate by yourself.\
-                 You can generate new accompaniments for given melody and chord conditions <span>")
-    
-    gr.Markdown("### <span style='color: blue;'> Currently this space is supported with Hugging Face CPU and on average,\
-                 it takes about 15 seconds to generate a 4-measure music piece. However, if other users are generating\
-                 music at the same time, one may enter a queue, which could slow down the process significantly.\
-                 If that happens, feel free to refresh the page. We appreciate your patience and understanding.\
-                </span>")
 
     with gr.Column(elem_classes="custom-purple"):
         gr.Markdown("### Select an example to generate music given melody and chord condition")
@@ -502,7 +197,6 @@ with gr.Blocks(css=custom_css) as demo:
                     outputs=[audio_output, piano_roll_output]
                 )
 
-
 # Launch Gradio interface
 if __name__ == "__main__":
     demo.launch()

output_0.wav

@@ -1,3 +1,3 @@
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-size 2469720
+oid sha256:15dcddbf23bcae2e04eb588ef0023e0e610d4b4f03709c5a777b4141a24d160e
+size 2772208