from typing import List, Tuple, Dict
import gradio as gr
import os
import json
from utils.song_utils import generate_song_seed, get_starting_messages, messages_to_history, update_song_details, get_sections
from chat import model_chat
from gradio_modal import Modal
History = List[Tuple[str, str]] # a type: pairs of (query, response), where query is user input and response is system output
Messages = List[Dict[str, str]] # a type: list of messages with role and content
css = """
#audio-group {
max-height: 800px;
overflow-y: scroll;
}
"""
textbox = gr.Textbox(lines=1, label='Send a message', show_label=False, placeholder='Send a message', scale=4, visible=True)
submit = gr.Button("Send", scale=2, visible=True)
with gr.Blocks(css=css) as demo:
gr.Markdown("""
AI Songwriter (alpha)
""")
gr.Markdown("""
Turning your stories into musical poetry. 2024 MIT Senior Thesis.
""")
with gr.Tabs() as tabs:
with gr.TabItem("Ideation", id=0): #index is 0
gr.Markdown("""
Let's write a song!
""")
gr.Markdown("""
First, let's try to find an interesting concept. Fill out the fields below and generate a song seed.
""")
with gr.Row():
feeling_input = gr.Textbox(label="What's an emotion(s) that you've been feeling a lot recently? And why?", placeholder='Enter your emotions', scale=2)
# audio_input = gr.Audio(sources=["upload"], type="numpy", label="Instrumental",
# interactive=True, elem_id="instrumental-input")
generate_seed_button = gr.Button("STEP 1: Generate Song Seed")
concept_desc = gr.Markdown("""
Here it is! Hit 'Approve' to confirm this concept. Edit the concept directly or hit 'Try Again' to get another suggestion.
""", visible=False)
with gr.Row(visible=False) as concept_row:
instrumental_output = gr.TextArea(label="Suggested Song Concept", value="", max_lines=3, scale=2)
with gr.Column():
approve_button = gr.Button("Approve")
try_again_button = gr.Button("Try Again")
with gr.Row():
with gr.Accordion("Generated Song Details", open=False) as accordion:
with gr.Row():
title_input = gr.Textbox(label='Title', placeholder='Enter a song title')
genre_input = gr.Textbox(label='Genre', placeholder='Enter a genre')
blurb_input = gr.Textbox(label='Blurb', placeholder='Enter a one-sentence blurb')
songwriter_style = gr.Dropdown(label='Songwriter Style', value = "GPT 4o", choices=["GPT 4o", "d4vd (Indie Rock Ballad - Male)", "Lizzy McAlpine (Indie Pop Folk - Female)", "Phoebe Bridgers (Pop Sad Rock - Female)", "Daniel Caesar (R&B/Soul - Male)"], interactive=True)
instrumental_textbox = gr.TextArea(label="Song Structure", value="Verse 1: 4 measures\nChorus 1: 8 measures\nVerse 2: 8 measures\nChorus 2: 8 measures\nVerse 3: 8 measures\nChorus 3: 8 measures", visible=False, interactive=True, max_lines=3)
gr.Markdown("""
Edit these to your liking and hit 'Continue to Next Step' to start creating!
""")
def open_accordion(x):
return gr.Accordion("Generated Song Details", open=True)
approve_button.click(open_accordion, inputs=[approve_button], outputs=[accordion])
with gr.Row():
continue_btn = gr.Button("Continue to Next Step", interactive=False)
def clean_song_seed(song_seed):
if "Suggested Song Concept:" in song_seed:
song_seed = song_seed.split("Suggested Song Concept:")[1].strip()
return song_seed
generate_seed_button.click(generate_song_seed, inputs=[feeling_input], outputs=[instrumental_output]).then(clean_song_seed, inputs=[instrumental_output], outputs=[instrumental_output])
feeling_input.submit(generate_song_seed, inputs=[feeling_input], outputs=[instrumental_output]).then(clean_song_seed, inputs=[instrumental_output], outputs=[instrumental_output])
def make_row_visible(x):
return gr.Row(visible=True), gr.Markdown("""
Here it is! Hit 'Approve' to confirm this concept. Edit the concept directly or hit 'Try Again' to get another suggestion.
""", visible=True)
def enable_button(x):
return gr.Button("Continue to Next Step", interactive=True)
generate_seed_button.click(make_row_visible, inputs=[generate_seed_button], outputs=[concept_row, concept_desc])
approve_button.click(enable_button, inputs=[approve_button], outputs=[continue_btn])
try_again_button.click(generate_song_seed, inputs=[feeling_input], outputs=[instrumental_output])
def change_tab(id):
return gr.Tabs(selected=id)
continue_btn.click(change_tab, gr.Number(1, visible=False), tabs)
with gr.TabItem("Generation", id=1): #index is 1
start_song_gen = gr.State(value=False)
gr.Markdown("""
Now, chat with an AI songwriter to make your song! Hit finish when ready to hear full song.
""")
character = gr.State(value="A 18-year old boy who dreams of being a pop star that uplifts people going through the difficulties of life")
starting_messages, starting_history = get_starting_messages("", "Home", "Missing home", "Ballad", instrumental_textbox.value)
print(starting_history, "STARTING HISTORY")
messages = gr.State(value=starting_messages)
# messages += [{"role": "assistant", "content": "You are a songwriter. You write songs."}]
# journal_messages = gr.State(value=[journal_starting_message])
# journal_response = gr.State(value="")
generated_audios = gr.State(value=[])
tutorial_step = gr.Number(value=0, visible=False)
with gr.Row():
with gr.Column(scale=2):
chatbot_history = gr.Chatbot(type="messages", value=starting_history, label='SongChat', placeholder=None, layout='bubble', bubble_full_width=False, height=500)
with gr.Row():
typical_responses = [textbox, submit]
def update_response_options(buttons, button_dict):
return [gr.Textbox(visible=len(buttons)==0, scale=4), gr.Button(visible=len(buttons)==0, scale=2)] + [gr.Button(visible=(x in buttons)) for x in button_dict.keys()]
button_options = gr.State([])
button_dict = gr.State({
"revise lyrics": "Can we revise the lyrics?",
"generate audio snippet": "Can you generate an audio snippet?",
"continue revising" : "Can we continue revising this section?",
"generate audio snippet with new lyrics": "Can you generate an audio snippet with these new lyrics?",
"return to original instrumental": "Can you use the original clip for this section instead?",
"revise genre": "Can we revise the instrumental tags?",
"re-revise genre": "Can we revise the instrumental tags?",
"continue to next section": "Looks good! Let's move on to the next section.",
"merge snippets": "Can you merge this snippet into its full song?"
})
for button in button_dict.value.keys():
btn = gr.Button(button, visible=(button in button_options.value))
typical_responses.append(btn)
with gr.Column(elem_id="audio-group", scale=1):
# songwriter_creativity = gr.Slider(label="Songwriter LLM Temperature", minimum=0, maximum=1, step=0.01, value=1)
with gr.Group():
# loop thru all audio in audio_clips
gr.Markdown("""
All Generations
""")
@gr.render(inputs=generated_audios, triggers=[demo.load, generated_audios.change, textbox.submit, submit.click] + [btn.click for btn in typical_responses[2:]])
def render_audio_group(generated_audios):
# audio_group = gr.Group()
for audio in generated_audios:
clip_path, lyrics, instrumental, title, status = audio
with gr.Accordion(title, open=False):
if status == 'complete':
gr.Audio(value=clip_path, label=title, interactive=False, show_label=False, waveform_options={"show_controls": False})
else:
gr.HTML(f'')
gr.TextArea(label="Lyrics", value=lyrics, interactive=False, show_label=False)
gr.TextArea(label="Instrumental", value=instrumental, interactive=False, show_label=False, max_lines=1)
gr.Markdown("""
Edit Current Generation
""")
current_section = gr.Textbox(label="Current section", value="Verse 1", interactive=False, show_label=True)
current_lyrics = gr.Textbox(label="Lyrics", value="", interactive=True, show_label=True)
with gr.Row():
curr_tags = gr.Textbox(label="Instrumental Tags", value="", interactive=True, show_label=True)
# @gr.render(inputs=generated_audios, triggers=[demo.load])
# def render_clip_to_continue(generated_audios):
audio_clips = [x[3] for x in generated_audios.value]
clip_to_continue = gr.Dropdown(label='Clip to continue', value = "", choices=audio_clips+[""], interactive=True)
#clip_to_continue = gr.Dropdown(label='Clip to continue', value = "", choices=audio_clips+[""], interactive=True)
songwriter_style = gr.Dropdown(label='Songwriter Style', value= "GPT 4o", choices=["GPT 4o", "d4vd (Indie Rock Ballad - Male)", "Lizzy McAlpine (Indie Pop Folk - Female)", "Phoebe Bridgers (Pop Sad Rock - Female)", "Daniel Caesar (R&B/Soul - Male)"], interactive=True)
with gr.Row():
#curr_audio = gr.State("")
curr_audio = gr.HTML(label="Generated section")
regen = gr.Button("Submit edits")
section_meanings = gr.State(value="")
approve_button.click(update_song_details, inputs=[instrumental_output], outputs=[genre_input, title_input, blurb_input]).then(get_sections, inputs=[blurb_input, instrumental_output], outputs=[section_meanings])
continue_btn.click(get_starting_messages, inputs=[instrumental_textbox, title_input, blurb_input, genre_input, section_meanings], outputs=[messages, chatbot_history])
with Modal(visible=False) as modal_0:
gr.Markdown("Welcome to the AI songwriter! The AI songwriter will help you write a song. You can chat with the AI, generate lyrics, and listen to audio snippets. Let's start by chatting with the AI.")
with Modal(visible=False) as modal:
gr.Markdown("The chatbot is run by an AI songwriter. It can respond to your conversations, generate lyrics and audio, and edit prior generations.\n\nNow, continue and respond to this second question from the AI songwriter.")
with Modal(visible=False) as modal_1:
gr.Markdown("The AI songwriter has now proposed a first verse! You now have the option to hear an audio snippet, revise the lyrics, or continue to the next section. The latter two options continue the conversation, whereas the first starts audio generation models. Select the 'get audio snippet' button to continue to the next step.")
with Modal(visible=False) as modal_2:
gr.Markdown("Awesome! You generated your first audio snippet./n/n As you work thru each section, the generated snippets are populated on the right panel. You'll be able to listen thru snippets as you work thru the song. \n\n "
"The current section is also displayed on the right panel. You'll be able to revise sections via the chat or directly via the right panel. \n\n "
"You're ready to start your official song! Hit the 'Start' button to start.")
start_button = gr.Button("Start")
continue_btn.click(lambda: Modal(visible=True), None, modal_0)
start_button.click(lambda: Modal(visible=False), None, modal_2)
def make_modal_visible(step_number):
new_step_number = step_number + 1 if step_number in [0, 1, 2] else step_number
modals = [Modal(visible=i == step_number) for i in range(3)]
return new_step_number, *modals
def update_textbox(textbox, step_number):
if step_number == 0:
return textbox + "\nAsk me another question to inform the verse"
elif step_number == 1:
return textbox + "\nUse this info to write a verse"
else:
return textbox
def set_response_buttons(button_dict, button_name):
print(button_name)
return button_dict[button_name]
def set_regenerate_query(textbox, current_section, current_lyrics, curr_tags, clip_to_continue):
return f"Can you revise this section so it uses these lyrics and instrumentals and then generate an audio snippet using it?\nLyrics:\n{current_lyrics}Instrumental tags: {curr_tags}\nClip to continue: {clip_to_continue}"
def set_snippet_query(textbox):
return "Can I have an audio snippet of what we have now?"
def set_finish_query(textbox):
return "I'm ready for the full song now! Can you finish it up?"
def reset_textbox(textbox):
return ""
with gr.Row():
textbox.render()
submit.render()
for btn in typical_responses[2:]:
btn.click(set_response_buttons, inputs=[button_dict, btn], outputs=[textbox]).then(model_chat,
inputs=[genre_input, textbox, chatbot_history, messages, generated_audios],
outputs=[textbox, chatbot_history, messages, current_section, current_lyrics, curr_tags, clip_to_continue, curr_audio, generated_audios, button_options]).then(reset_textbox, inputs=[textbox], outputs=[textbox]).then(
update_response_options, [button_options, button_dict], typical_responses
).then(
make_modal_visible, [tutorial_step], [tutorial_step, modal, modal_1, modal_2]
)
submit.click(update_textbox, [textbox, tutorial_step], [textbox]).then(model_chat,
inputs=[genre_input, textbox, chatbot_history, messages, generated_audios],
outputs=[textbox, chatbot_history, messages, current_section, current_lyrics, curr_tags, clip_to_continue, curr_audio, generated_audios, button_options]).then(reset_textbox, inputs=[textbox], outputs=[textbox]).then(
update_response_options, [button_options, button_dict], typical_responses
).then(
make_modal_visible, [tutorial_step], [tutorial_step, modal, modal_1, modal_2]
)
textbox.submit(update_textbox, [textbox, tutorial_step], [textbox]).then(model_chat,
inputs=[genre_input, textbox, chatbot_history, messages, generated_audios],
outputs=[textbox, chatbot_history, messages, current_section, current_lyrics, curr_tags, clip_to_continue, curr_audio, generated_audios, button_options]).then(reset_textbox, inputs=[textbox], outputs=[textbox]).then(
update_response_options, [button_options, button_dict], typical_responses
).then(
make_modal_visible, [tutorial_step], [tutorial_step, modal, modal_1, modal_2]
)
regen.click(set_regenerate_query, inputs=[textbox, current_section, current_lyrics, curr_tags, clip_to_continue], outputs=[textbox]).then(model_chat,
inputs=[genre_input, textbox, chatbot_history, messages, generated_audios],
outputs=[textbox, chatbot_history, messages, current_section, current_lyrics, curr_tags, clip_to_continue, curr_audio, generated_audios, button_options]).then(reset_textbox, inputs=[textbox], outputs=[textbox]).then(
update_response_options, [button_options, button_dict], typical_responses
).then(
make_modal_visible, [tutorial_step], [tutorial_step, modal, modal_1, modal_2]
)
with gr.Row():
# get_snippet_button = gr.Button("Get Audio Snippet", scale=2)
done = gr.Button("Finish Full Song 🎶", scale=4)
#autoGPT_checkbox = gr.Checkbox(label="AutoGPT", value=True, info="Auto-generate responses from journal entry", interactive=True, scale=2)
#journal_llm_creativity = gr.Slider(label="Journal LLM Temperature", minimum=0, maximum=1, step=0.01, value=1, interactive=True, scale=2)
reset_button = gr.Button("Reset", scale=2)
def reset_chat(messages, chatbot_history):
messages = messages[:2]
chatbot_history = messages_to_history(messages[:2])
return messages, chatbot_history, '', '', '', '', gr.HTML('