initial commit

.gitattributes

@@ -9,13 +9,9 @@
 *.lfs.* filter=lfs diff=lfs merge=lfs -text
 *.model filter=lfs diff=lfs merge=lfs -text
 *.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
 *.onnx filter=lfs diff=lfs merge=lfs -text
 *.ot filter=lfs diff=lfs merge=lfs -text
 *.parquet filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
 *.pb filter=lfs diff=lfs merge=lfs -text
 *.pt filter=lfs diff=lfs merge=lfs -text
 *.pth filter=lfs diff=lfs merge=lfs -text
@@ -27,5 +23,9 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.wasm filter=lfs diff=lfs merge=lfs -text
 *.xz filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
+*.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+data/* filter=lfs diff=lfs merge=lfs -text
+data/**/* filter=lfs diff=lfs merge=lfs -text
+checkpoints/**/* filter=lfs diff=lfs merge=lfs -text
+checkpoints/* filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1,125 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# General MAC files
+.DS_Store
+.AppleDouble
+.LSOverride
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# pyenv
+.python-version
+
+# celery beat schedule file
+celerybeat-schedule
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+
+#Pycharm
+.idea/
+
+# data
+moodboard/*
+misc/*
+experiments/*
+**/saved_models/*
+*.pt
+*.zip
+*.npy
+*.jbl
+
+
+/experiments/

README.md

@@ -1,12 +1,12 @@
 ---
-title: Test
-emoji: 🐠
-colorFrom: purple
-colorTo: yellow
+title: TastyPiano
+emoji: 🍹
+colorFrom: pink
+colorTo: purple
 sdk: streamlit
-sdk_version: 1.10.0
+sdk_version: 1.2.0
 app_file: app.py
 pinned: false
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference

app.py

@@ -0,0 +1,214 @@
+import time
+import os
+import pickle
+import sys
+sys.path.append('/')
+from src.music.pipeline.music_pipeline import encode_music
+from src.music2cocktailrep.pipeline.music2cocktailrep import music2cocktailrep, setup_translation_models, debug_translation
+from src.cocktails.pipeline.cocktailrep2recipe import cocktailrep2recipe
+from src.debugger import Debugger
+from datetime import datetime
+from shutil import copy
+import streamlit as st
+from src.music.config import AUDIO_PATH, MIDI_PATH
+from pretty_midi import PrettyMIDI
+import numpy as np
+import pydub
+from PIL import Image
+
+
+st.set_page_config(
+    page_title="TastyPiano",
+    page_icon="🎹",
+)
+
+st.title('TastyPiano')
+
+synestesia_path = 'data/synesthesia/'
+debugger = Debugger(verbose=False)
+
+def centered_module(func, text, args=None):
+    _, col2, _ = st.columns([1, 2, 1])
+    with col2:
+        return func(text)
+
+def centered_button(func, text, args=None):
+    _, _, _, col3, _, _, _ = st.columns([1, 1, 1, 1, 1, 1, 1])
+    with col3:
+        return func(text)
+
+def setup_streamlite():
+    setup_translation_models()
+    image = Image.open('./data/pianocktail.jpg')
+    st.image(image, caption='Pianocktail by Compagnie la Rumeur')
+
+    st.subheader("Ready to taste music?")
+    st.markdown("TastyPiano generates music--taste synesthetic experiences by letting you turn any piano song into a cocktail. It is inspired by the"
+                " *Pianocktail*, a literary invention from the French novelist, jazz musician, singer and engineer Boris Vian. I see TastyPiano as a digital member of the "
+                "Pianocktail species, along with [other](https://www.youtube.com/watch?v=5bdX5i0nAWw) "
+                "[wonderful](https://www.youtube.com/watch?v=pzsDOH-xtrs&list=PLC196AA37A2D1C066&index=3) [machines](https://www.youtube.com/watch?v=y0RJg7I2x34).")
+    st.markdown("But TastyPiano is different from existing pianocktails. While existing version merely map played notes to drops of corresponding ingredients, "
+                "TastyPiano listens to the song, analyzes the music, hallucinates matching tastes and flavors, before it starts generating cocktail recipes "
+                "until it finds the one matching its gustatory hallucination. Check my [blog post](https://ccolas.github.io/project/pianocktail) for more information."
+                " Hear and taste it for yourself!")
+    st.subheader("How to use it?")
+    st.markdown("Provide a piano solo input and click on the **Taste it!** button.\n"
+                "\nYou can input either: \n* a YouTube url **or**\n* an audio file (.mp3) **or**\n* a midi file (.mid)\n"
+                "All these should be **only piano**, no other instrument.\n"
+                "Note that audio sources are cropped to the first 40s because the process of "
+                "converting it to midi is rather slow (1sec/sec). Midi inputs are taken whole. Please report any bug / buggy url in the community tab.")
+
+    st.subheader("Prepare")
+    col1, col2, col3 = st.columns(3)
+    generate_audio_from_midi = False
+    with col1:
+        st.markdown('**YouTube url**')
+        url = st.text_area('Type it below', 'https://www.youtube.com/watch?v=UGK70IkP830', height=160)
+    with col2:
+        st.markdown('**Audio file**')
+        audio = st.file_uploader("Upload it here (.mp3)", type=['.mp3'])
+    with col3:
+        st.markdown('**Midi file**')
+        midi = st.file_uploader("Upload it here (.mid)", type=['.mid'])
+        generate_audio_from_midi = st.checkbox('Generate audio? Untick if the song is too long (>10min)', value=True)
+
+    def run(unit):
+        setup_and_run(unit=unit, url=url, midi=midi, audio=audio, generate_audio_from_midi=generate_audio_from_midi, extra_code=None)
+    # url = "https://youtu.be/VUCI-1vIbUo"
+    # unit = 'mL'
+    # run(unit)
+    st.markdown('##')
+    unit = st.radio('Pick the units (before pressing "Taste it!", default mL)', ['mL', 'oz'], index=0)
+    button = centered_button(st.button, 'Taste it!')
+    if button:
+        run(unit)
+
+
+def pianocktail(unit='mL', record=False, url=None, midi=None, audio=None, processed=None, crop=40, verbose=False, debug=False, level=0):
+    assert url is not None or midi is not None or audio is not None or processed is not None
+    if verbose: print('------\nNew synesthetic exploration!')
+    init_time = time.time()
+    try:
+        with st.spinner("Listening to the song (~20s).."):
+            music_ai_rep, music_handcoded_rep, all_paths, error = encode_music(record=record, url=url, audio_path=audio, midi_path=midi, nb_aug=0, noise_injection=False,
+                                                                               augmentation=False, processed_path=processed, crop=crop, apply_filtering=False, verbose=verbose,
+                                                                               level=level+2)
+        if music_ai_rep is not None:
+            with st.spinner(text="Thinking about corresponding flavors.."):
+                cocktail_rep, affective_cluster_id, affect = music2cocktailrep(music_ai_rep, music_handcoded_rep, verbose=verbose, level=level+2)
+            with st.spinner("Trying recipes (15s).."):
+                cocktail_recipes, scores = cocktailrep2recipe(cocktail_rep, unit=unit, target_affective_cluster=affective_cluster_id, verbose=verbose, full_verbose=verbose, \
+                                                                                                                                                              level=level+2)
+
+            cocktail_recipe = cocktail_recipes[0]
+            recipe_score = scores[0]
+            if debug:
+                music_reconstruction = debug_translation(music_ai_rep)
+                debugger.extract_info(all_paths, affective_cluster_id, affect, cocktail_rep, music_reconstruction, recipe_score, verbose=verbose, level=level+2)
+                debug_info = debugger.debug_dict
+            else:
+                debug_info = None
+            if verbose:
+                print(cocktail_recipe.replace('Recipe', ' ' * (level + 2) + 'Generated recipe:').replace('None ()', ''))
+                debugger.print_debug(level=level+2)
+                print(f'\nEnd of synesthetic exploration ({int(time.time() - init_time)} secs).\n------')
+            st.success('Recipe found!')
+        else:
+            st.error('Error in listening. Is the url valid? the audio an .mp3? the midi a .mid?')
+            cocktail_recipe = None
+            debug_info = None
+    except:
+        st.error('Error: ' + error)
+        cocktail_recipe = None
+        debug_info = None
+    return cocktail_recipe, debug_info
+
+def setup_and_run(unit='mL', url=None, midi=None, audio=None, generate_audio_from_midi=False, verbose=True, debug=True, extra_code=None):
+    if url is None and midi is None and audio is None:
+        st.error('Please enter a piano input.')
+        assert False
+    st.subheader('Synesthesia')
+    now = datetime.now()
+    folder_name = f'{now.year}-{now.month}-{now.day}_{now.hour}:{now.minute}:{now.second}'
+    folder_path = synestesia_path + folder_name
+    if extra_code is not None:
+        folder_path += '_' + extra_code
+    if os.path.exists(folder_path):
+        folder_path += '_2'
+    folder_path += '/'
+    os.makedirs(folder_path, exist_ok=True)
+    if midi is not None:
+        st.write(f'  \tReading from midi file: {midi.name}')
+        midi_path = MIDI_PATH + 'from_url_midi/' + midi.name[:-4] + '_midi.mid'
+        audio_path = AUDIO_PATH + 'from_url/' + midi.name.replace('.mid', '.mp3')
+        with open(midi_path, "wb") as f:
+            f.write(midi.getbuffer())
+        midi = midi_path
+        if generate_audio_from_midi:
+            midi_data = PrettyMIDI(midi_path)
+            audio_data = midi_data.fluidsynth(fs=44100)
+            y = np.int16(audio_data * 2 ** 15)
+            song = pydub.AudioSegment(y.tobytes(), frame_rate=44100, sample_width=2, channels=1)
+            song.export(audio_path, format="mp3", bitrate="320k")
+            # st.write(audio_data)
+            st.audio(audio_path, format='audio/mp3')
+        url = None
+    elif audio is not None:
+        st.write(f'  \tReading from audio file: {audio.name}')
+        audio_path = AUDIO_PATH + 'from_url/' + audio.name
+        with open(audio_path, "wb") as f:
+            f.write(audio.getbuffer())
+        audio = audio_path
+        audio_file = open(audio, 'rb')
+        audio_bytes = audio_file.read()
+        st.audio(audio_bytes, format='audio/mp3')
+        url = None
+    else:
+        st.write(f'  \tReading from YouTube url: {url}')
+        st.video(url)
+
+    _, col2, _ = st.columns([1, 1, 1])
+    with col2:
+        st.markdown('##')
+        recipe, debug = pianocktail(unit=unit, url=url, midi=midi, audio=audio, verbose=verbose, debug=debug)
+    with open(folder_path + 'debug.pk', 'wb') as f:
+        pickle.dump(debug, f)
+    with open(folder_path + 'recipe.txt', 'w') as f:
+        f.write(recipe)
+    paths = debug['all_paths']
+    if paths['url'] is not None:
+        with open(folder_path + 'url.txt', 'w') as f:
+            f.write(paths['url'])
+    for k in ['audio_path', 'midi_path']:
+        origin = paths[k]
+        if origin is not None:
+            copy(origin, folder_path + origin.split('/')[-1])
+
+    st.subheader('Recipe')
+    recipe = recipe.replace('   Enjoy!', '  \nEnjoy!').replace('\n', '  \n')
+    st.text(recipe)
+
+    st.markdown('**About this synesthesia**')
+    closest_songs = [debug['nn_music'][i][:-26].split('structured_')[1].replace('_', ' ') for i in range(3)]
+    str_songs = 'These are the closest song I know: '
+    str_songs += ' '.join([f'  \n* {closest_songs[i]}' for i in range(3)])
+    st.markdown(str_songs + '.')
+    str_cocktails = 'These are existing cocktails that are close to the taste of this song:'
+    str_cocktails += ' '.join([f'  \n* {cocktail_name}: {cocktail_url}' for cocktail_name, cocktail_url in zip(debug['nearest_cocktail_names'][:3],
+                                                                                                               debug['nearest_cocktail_urls'][:3])])
+    st.markdown(str_cocktails + '.')
+
+if __name__ == '__main__':
+    setup_streamlite()
+    # urls = ["https://www.youtube.com/watch?v=PLFVGwGQcB0",
+    #         "https://www.youtube.com/watch?v=VQmuAr93OlI",
+    #         "https://www.youtube.com/watch?v=Nv2GgV34qIg&list=PLO9E3V4rGLD8_iWrCioJRWZXJJE3Fzu_J&index=4",
+    #         "https://www.youtube.com/watch?v=qAEIjWYdoYc&list=PLO9E3V4rGLD8_iWrCioJRWZXJJE3Fzu_J&index=1",
+    #         "https://www.youtube.com/watch?v=M73x3O7dhmg&list=PLO9E3V4rGLD8_iWrCioJRWZXJJE3Fzu_J&index=5"]
+    # setup_translation_models()
+    # setup_and_run(url=urls[0], verbose=True, debug=True)
+    # recipes = []
+    # for url in urls:
+    #     recipe = pianocktail(url=url, verbose=True, debug=True)[0]
+    #     recipes.append(recipe)
+    # stop = 1

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