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  1. .gitattributes +5 -5
  2. .gitignore +125 -0
  3. README.md +6 -6
  4. app.py +214 -0
  5. checkpoints/cocktail_representation/cocktails_data.csv +3 -0
  6. checkpoints/cocktail_representation/handcoded_reps/cocktail_handcoded_reps_minmax_norm-1_1_dim13_customkeys.txt +3 -0
  7. checkpoints/cocktail_representation/handcoded_reps/cocktail_minmax_dim13_customkeys.txt +3 -0
  8. checkpoints/cocktail_representation/handcoded_reps/density_ingredients.txt +3 -0
  9. checkpoints/cocktail_representation/handcoded_reps/distrib_nb_ing.txt +3 -0
  10. checkpoints/cocktail_representation/handcoded_reps/ingredients_max_quantities.txt +3 -0
  11. checkpoints/cocktail_representation/handcoded_reps/ingredients_min_quantities.txt +3 -0
  12. checkpoints/cocktail_representation/handcoded_reps/ingredients_min_quantities_when_present.txt +3 -0
  13. checkpoints/cocktail_representation/handcoded_reps/nn_model.pickle +3 -0
  14. checkpoints/cocktail_representation/ingredient_list.csv +3 -0
  15. checkpoints/cocktail_representation/minmax/max_arousal.txt +3 -0
  16. checkpoints/cocktail_representation/minmax/max_cocktail_reps_affective.txt +3 -0
  17. checkpoints/cocktail_representation/minmax/max_dominance.txt +3 -0
  18. checkpoints/cocktail_representation/minmax/max_valence.txt +3 -0
  19. checkpoints/cocktail_representation/minmax/min_arousal.txt +3 -0
  20. checkpoints/cocktail_representation/minmax/min_cocktail_reps_affective.txt +3 -0
  21. checkpoints/cocktail_representation/minmax/min_dominance.txt +3 -0
  22. checkpoints/cocktail_representation/minmax/min_valence.txt +3 -0
  23. checkpoints/cocktail_representation/multi_predictor/checkpoint_best.save +3 -0
  24. checkpoints/cocktail_representation/multi_predictor/max_ing_quantities.txt +3 -0
  25. checkpoints/cocktail_representation/multi_predictor/mean_ing_quantities.txt +3 -0
  26. checkpoints/cocktail_representation/multi_predictor/min_when_present_ing_quantities.txt +3 -0
  27. checkpoints/cocktail_representation/multi_predictor/normalization_funcs.pickle +3 -0
  28. checkpoints/cocktail_representation/multi_predictor/params.json +3 -0
  29. checkpoints/cocktail_representation/multi_predictor/std_ing_quantities.txt +3 -0
  30. checkpoints/music2cocktails/affects2affect_cluster/cluster_model.pickle +3 -0
  31. checkpoints/music2cocktails/music2affects/final_best_keys.pickle +3 -0
  32. checkpoints/music2cocktails/music2affects/max_handcoded_reps.txt +3 -0
  33. checkpoints/music2cocktails/music2affects/min_handcoded_reps.txt +3 -0
  34. checkpoints/music2cocktails/music2affects/music2affect_models.pickle +3 -0
  35. checkpoints/music2cocktails/music2affects/top_10_keys.pickle +3 -0
  36. checkpoints/music2cocktails/music2flavor/b256_r128_classif001_ld40_meanstd_regground2.5_egg_bubbles/params.json +3 -0
  37. checkpoints/music2cocktails/music2flavor/b256_r128_classif001_ld40_meanstd_regground2.5_egg_bubbles/results.txt +3 -0
  38. checkpoints/music_representation/b256_r128_represented/all_reps_unnormalized_sample100.pickle +3 -0
  39. checkpoints/music_representation/b256_r128_represented/all_reps_unnormalized_sample1000.pickle +3 -0
  40. checkpoints/music_representation/b256_r128_represented/all_reps_unnormalized_sample200.pickle +3 -0
  41. checkpoints/music_representation/b256_r128_represented/all_reps_unnormalized_sample2000.pickle +3 -0
  42. checkpoints/music_representation/b256_r128_represented/all_reps_unnormalized_sample500.pickle +3 -0
  43. checkpoints/music_representation/b256_r128_represented/all_reps_unnormalized_sample5000.pickle +3 -0
  44. checkpoints/music_representation/b256_r128_represented/music_reps_normalized_meanstd.pickle +3 -0
  45. checkpoints/music_representation/b256_r128_represented/music_reps_unnormalized.pickle +3 -0
  46. checkpoints/music_representation/b256_r128_represented/nn_model.pickle +3 -0
  47. checkpoints/music_representation/sentence_embedding/smallbert_b256_r128_1/acc.png +3 -0
  48. checkpoints/music_representation/sentence_embedding/smallbert_b256_r128_1/best_model/1_Pooling/config.json +3 -0
  49. checkpoints/music_representation/sentence_embedding/smallbert_b256_r128_1/best_model/2_Dense/config.json +3 -0
  50. checkpoints/music_representation/sentence_embedding/smallbert_b256_r128_1/best_model/2_Dense/pytorch_model.bin +3 -0
.gitattributes CHANGED
@@ -9,13 +9,9 @@
9
  *.lfs.* filter=lfs diff=lfs merge=lfs -text
10
  *.model filter=lfs diff=lfs merge=lfs -text
11
  *.msgpack filter=lfs diff=lfs merge=lfs -text
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- *.npy filter=lfs diff=lfs merge=lfs -text
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- *.npz filter=lfs diff=lfs merge=lfs -text
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  *.onnx filter=lfs diff=lfs merge=lfs -text
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  *.ot filter=lfs diff=lfs merge=lfs -text
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  *.parquet filter=lfs diff=lfs merge=lfs -text
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- *.pickle filter=lfs diff=lfs merge=lfs -text
18
- *.pkl filter=lfs diff=lfs merge=lfs -text
19
  *.pb filter=lfs diff=lfs merge=lfs -text
20
  *.pt filter=lfs diff=lfs merge=lfs -text
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  *.pth filter=lfs diff=lfs merge=lfs -text
@@ -27,5 +23,9 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
27
  *.wasm filter=lfs diff=lfs merge=lfs -text
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  *.xz filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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- *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
9
  *.lfs.* filter=lfs diff=lfs merge=lfs -text
10
  *.model filter=lfs diff=lfs merge=lfs -text
11
  *.msgpack filter=lfs diff=lfs merge=lfs -text
 
 
12
  *.onnx filter=lfs diff=lfs merge=lfs -text
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  *.ot filter=lfs diff=lfs merge=lfs -text
14
  *.parquet filter=lfs diff=lfs merge=lfs -text
 
 
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  *.pb filter=lfs diff=lfs merge=lfs -text
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  *.pt filter=lfs diff=lfs merge=lfs -text
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  *.pth filter=lfs diff=lfs merge=lfs -text
 
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  *.wasm filter=lfs diff=lfs merge=lfs -text
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  *.xz filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
26
+ *.zstandard filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ data/* filter=lfs diff=lfs merge=lfs -text
29
+ data/**/* filter=lfs diff=lfs merge=lfs -text
30
+ checkpoints/**/* filter=lfs diff=lfs merge=lfs -text
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+ checkpoints/* filter=lfs diff=lfs merge=lfs -text
.gitignore ADDED
@@ -0,0 +1,125 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Byte-compiled / optimized / DLL files
2
+ __pycache__/
3
+ *.py[cod]
4
+ *$py.class
5
+
6
+ # C extensions
7
+ *.so
8
+
9
+ # Distribution / packaging
10
+ .Python
11
+ build/
12
+ develop-eggs/
13
+ dist/
14
+ downloads/
15
+ eggs/
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+ .eggs/
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+ lib/
18
+ lib64/
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+ parts/
20
+ sdist/
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+ var/
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+ wheels/
23
+ *.egg-info/
24
+ .installed.cfg
25
+ *.egg
26
+ MANIFEST
27
+
28
+ # General MAC files
29
+ .DS_Store
30
+ .AppleDouble
31
+ .LSOverride
32
+
33
+ # PyInstaller
34
+ # Usually these files are written by a python script from a template
35
+ # before PyInstaller builds the exe, so as to inject date/other infos into it.
36
+ *.manifest
37
+ *.spec
38
+
39
+ # Installer logs
40
+ pip-log.txt
41
+ pip-delete-this-directory.txt
42
+
43
+ # Unit test / coverage reports
44
+ htmlcov/
45
+ .tox/
46
+ .coverage
47
+ .coverage.*
48
+ .cache
49
+ nosetests.xml
50
+ coverage.xml
51
+ *.cover
52
+ .hypothesis/
53
+ .pytest_cache/
54
+
55
+ # Translations
56
+ *.mo
57
+ *.pot
58
+
59
+ # Django stuff:
60
+ *.log
61
+ local_settings.py
62
+ db.sqlite3
63
+
64
+ # Flask stuff:
65
+ instance/
66
+ .webassets-cache
67
+
68
+ # Scrapy stuff:
69
+ .scrapy
70
+
71
+ # Sphinx documentation
72
+ docs/_build/
73
+
74
+ # PyBuilder
75
+ target/
76
+
77
+ # Jupyter Notebook
78
+ .ipynb_checkpoints
79
+
80
+ # pyenv
81
+ .python-version
82
+
83
+ # celery beat schedule file
84
+ celerybeat-schedule
85
+
86
+ # SageMath parsed files
87
+ *.sage.py
88
+
89
+ # Environments
90
+ .env
91
+ .venv
92
+ env/
93
+ venv/
94
+ ENV/
95
+ env.bak/
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+ venv.bak/
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+
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+ # Spyder project settings
99
+ .spyderproject
100
+ .spyproject
101
+
102
+ # Rope project settings
103
+ .ropeproject
104
+
105
+ # mkdocs documentation
106
+ /site
107
+
108
+ # mypy
109
+ .mypy_cache/
110
+
111
+ #Pycharm
112
+ .idea/
113
+
114
+ # data
115
+ moodboard/*
116
+ misc/*
117
+ experiments/*
118
+ **/saved_models/*
119
+ *.pt
120
+ *.zip
121
+ *.npy
122
+ *.jbl
123
+
124
+
125
+ /experiments/
README.md CHANGED
@@ -1,12 +1,12 @@
1
  ---
2
- title: Test
3
- emoji: 🐠
4
- colorFrom: purple
5
- colorTo: yellow
6
  sdk: streamlit
7
- sdk_version: 1.10.0
8
  app_file: app.py
9
  pinned: false
10
  ---
11
 
12
- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
1
  ---
2
+ title: TastyPiano
3
+ emoji: 🍹
4
+ colorFrom: pink
5
+ colorTo: purple
6
  sdk: streamlit
7
+ sdk_version: 1.2.0
8
  app_file: app.py
9
  pinned: false
10
  ---
11
 
12
+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference
app.py ADDED
@@ -0,0 +1,214 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import time
2
+ import os
3
+ import pickle
4
+ import sys
5
+ sys.path.append('/')
6
+ from src.music.pipeline.music_pipeline import encode_music
7
+ from src.music2cocktailrep.pipeline.music2cocktailrep import music2cocktailrep, setup_translation_models, debug_translation
8
+ from src.cocktails.pipeline.cocktailrep2recipe import cocktailrep2recipe
9
+ from src.debugger import Debugger
10
+ from datetime import datetime
11
+ from shutil import copy
12
+ import streamlit as st
13
+ from src.music.config import AUDIO_PATH, MIDI_PATH
14
+ from pretty_midi import PrettyMIDI
15
+ import numpy as np
16
+ import pydub
17
+ from PIL import Image
18
+
19
+
20
+ st.set_page_config(
21
+ page_title="TastyPiano",
22
+ page_icon="🎹",
23
+ )
24
+
25
+ st.title('TastyPiano')
26
+
27
+ synestesia_path = 'data/synesthesia/'
28
+ debugger = Debugger(verbose=False)
29
+
30
+ def centered_module(func, text, args=None):
31
+ _, col2, _ = st.columns([1, 2, 1])
32
+ with col2:
33
+ return func(text)
34
+
35
+ def centered_button(func, text, args=None):
36
+ _, _, _, col3, _, _, _ = st.columns([1, 1, 1, 1, 1, 1, 1])
37
+ with col3:
38
+ return func(text)
39
+
40
+ def setup_streamlite():
41
+ setup_translation_models()
42
+ image = Image.open('./data/pianocktail.jpg')
43
+ st.image(image, caption='Pianocktail by Compagnie la Rumeur')
44
+
45
+ st.subheader("Ready to taste music?")
46
+ st.markdown("TastyPiano generates music--taste synesthetic experiences by letting you turn any piano song into a cocktail. It is inspired by the"
47
+ " *Pianocktail*, a literary invention from the French novelist, jazz musician, singer and engineer Boris Vian. I see TastyPiano as a digital member of the "
48
+ "Pianocktail species, along with [other](https://www.youtube.com/watch?v=5bdX5i0nAWw) "
49
+ "[wonderful](https://www.youtube.com/watch?v=pzsDOH-xtrs&list=PLC196AA37A2D1C066&index=3) [machines](https://www.youtube.com/watch?v=y0RJg7I2x34).")
50
+ st.markdown("But TastyPiano is different from existing pianocktails. While existing version merely map played notes to drops of corresponding ingredients, "
51
+ "TastyPiano listens to the song, analyzes the music, hallucinates matching tastes and flavors, before it starts generating cocktail recipes "
52
+ "until it finds the one matching its gustatory hallucination. Check my [blog post](https://ccolas.github.io/project/pianocktail) for more information."
53
+ " Hear and taste it for yourself!")
54
+ st.subheader("How to use it?")
55
+ st.markdown("Provide a piano solo input and click on the **Taste it!** button.\n"
56
+ "\nYou can input either: \n* a YouTube url **or**\n* an audio file (.mp3) **or**\n* a midi file (.mid)\n"
57
+ "All these should be **only piano**, no other instrument.\n"
58
+ "Note that audio sources are cropped to the first 40s because the process of "
59
+ "converting it to midi is rather slow (1sec/sec). Midi inputs are taken whole. Please report any bug / buggy url in the community tab.")
60
+
61
+ st.subheader("Prepare")
62
+ col1, col2, col3 = st.columns(3)
63
+ generate_audio_from_midi = False
64
+ with col1:
65
+ st.markdown('**YouTube url**')
66
+ url = st.text_area('Type it below', 'https://www.youtube.com/watch?v=UGK70IkP830', height=160)
67
+ with col2:
68
+ st.markdown('**Audio file**')
69
+ audio = st.file_uploader("Upload it here (.mp3)", type=['.mp3'])
70
+ with col3:
71
+ st.markdown('**Midi file**')
72
+ midi = st.file_uploader("Upload it here (.mid)", type=['.mid'])
73
+ generate_audio_from_midi = st.checkbox('Generate audio? Untick if the song is too long (>10min)', value=True)
74
+
75
+ def run(unit):
76
+ setup_and_run(unit=unit, url=url, midi=midi, audio=audio, generate_audio_from_midi=generate_audio_from_midi, extra_code=None)
77
+ # url = "https://youtu.be/VUCI-1vIbUo"
78
+ # unit = 'mL'
79
+ # run(unit)
80
+ st.markdown('##')
81
+ unit = st.radio('Pick the units (before pressing "Taste it!", default mL)', ['mL', 'oz'], index=0)
82
+ button = centered_button(st.button, 'Taste it!')
83
+ if button:
84
+ run(unit)
85
+
86
+
87
+ def pianocktail(unit='mL', record=False, url=None, midi=None, audio=None, processed=None, crop=40, verbose=False, debug=False, level=0):
88
+ assert url is not None or midi is not None or audio is not None or processed is not None
89
+ if verbose: print('------\nNew synesthetic exploration!')
90
+ init_time = time.time()
91
+ try:
92
+ with st.spinner("Listening to the song (~20s).."):
93
+ 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,
94
+ augmentation=False, processed_path=processed, crop=crop, apply_filtering=False, verbose=verbose,
95
+ level=level+2)
96
+ if music_ai_rep is not None:
97
+ with st.spinner(text="Thinking about corresponding flavors.."):
98
+ cocktail_rep, affective_cluster_id, affect = music2cocktailrep(music_ai_rep, music_handcoded_rep, verbose=verbose, level=level+2)
99
+ with st.spinner("Trying recipes (15s).."):
100
+ cocktail_recipes, scores = cocktailrep2recipe(cocktail_rep, unit=unit, target_affective_cluster=affective_cluster_id, verbose=verbose, full_verbose=verbose, \
101
+ level=level+2)
102
+
103
+ cocktail_recipe = cocktail_recipes[0]
104
+ recipe_score = scores[0]
105
+ if debug:
106
+ music_reconstruction = debug_translation(music_ai_rep)
107
+ debugger.extract_info(all_paths, affective_cluster_id, affect, cocktail_rep, music_reconstruction, recipe_score, verbose=verbose, level=level+2)
108
+ debug_info = debugger.debug_dict
109
+ else:
110
+ debug_info = None
111
+ if verbose:
112
+ print(cocktail_recipe.replace('Recipe', ' ' * (level + 2) + 'Generated recipe:').replace('None ()', ''))
113
+ debugger.print_debug(level=level+2)
114
+ print(f'\nEnd of synesthetic exploration ({int(time.time() - init_time)} secs).\n------')
115
+ st.success('Recipe found!')
116
+ else:
117
+ st.error('Error in listening. Is the url valid? the audio an .mp3? the midi a .mid?')
118
+ cocktail_recipe = None
119
+ debug_info = None
120
+ except:
121
+ st.error('Error: ' + error)
122
+ cocktail_recipe = None
123
+ debug_info = None
124
+ return cocktail_recipe, debug_info
125
+
126
+ def setup_and_run(unit='mL', url=None, midi=None, audio=None, generate_audio_from_midi=False, verbose=True, debug=True, extra_code=None):
127
+ if url is None and midi is None and audio is None:
128
+ st.error('Please enter a piano input.')
129
+ assert False
130
+ st.subheader('Synesthesia')
131
+ now = datetime.now()
132
+ folder_name = f'{now.year}-{now.month}-{now.day}_{now.hour}:{now.minute}:{now.second}'
133
+ folder_path = synestesia_path + folder_name
134
+ if extra_code is not None:
135
+ folder_path += '_' + extra_code
136
+ if os.path.exists(folder_path):
137
+ folder_path += '_2'
138
+ folder_path += '/'
139
+ os.makedirs(folder_path, exist_ok=True)
140
+ if midi is not None:
141
+ st.write(f' \tReading from midi file: {midi.name}')
142
+ midi_path = MIDI_PATH + 'from_url_midi/' + midi.name[:-4] + '_midi.mid'
143
+ audio_path = AUDIO_PATH + 'from_url/' + midi.name.replace('.mid', '.mp3')
144
+ with open(midi_path, "wb") as f:
145
+ f.write(midi.getbuffer())
146
+ midi = midi_path
147
+ if generate_audio_from_midi:
148
+ midi_data = PrettyMIDI(midi_path)
149
+ audio_data = midi_data.fluidsynth(fs=44100)
150
+ y = np.int16(audio_data * 2 ** 15)
151
+ song = pydub.AudioSegment(y.tobytes(), frame_rate=44100, sample_width=2, channels=1)
152
+ song.export(audio_path, format="mp3", bitrate="320k")
153
+ # st.write(audio_data)
154
+ st.audio(audio_path, format='audio/mp3')
155
+ url = None
156
+ elif audio is not None:
157
+ st.write(f' \tReading from audio file: {audio.name}')
158
+ audio_path = AUDIO_PATH + 'from_url/' + audio.name
159
+ with open(audio_path, "wb") as f:
160
+ f.write(audio.getbuffer())
161
+ audio = audio_path
162
+ audio_file = open(audio, 'rb')
163
+ audio_bytes = audio_file.read()
164
+ st.audio(audio_bytes, format='audio/mp3')
165
+ url = None
166
+ else:
167
+ st.write(f' \tReading from YouTube url: {url}')
168
+ st.video(url)
169
+
170
+ _, col2, _ = st.columns([1, 1, 1])
171
+ with col2:
172
+ st.markdown('##')
173
+ recipe, debug = pianocktail(unit=unit, url=url, midi=midi, audio=audio, verbose=verbose, debug=debug)
174
+ with open(folder_path + 'debug.pk', 'wb') as f:
175
+ pickle.dump(debug, f)
176
+ with open(folder_path + 'recipe.txt', 'w') as f:
177
+ f.write(recipe)
178
+ paths = debug['all_paths']
179
+ if paths['url'] is not None:
180
+ with open(folder_path + 'url.txt', 'w') as f:
181
+ f.write(paths['url'])
182
+ for k in ['audio_path', 'midi_path']:
183
+ origin = paths[k]
184
+ if origin is not None:
185
+ copy(origin, folder_path + origin.split('/')[-1])
186
+
187
+ st.subheader('Recipe')
188
+ recipe = recipe.replace(' Enjoy!', ' \nEnjoy!').replace('\n', ' \n')
189
+ st.text(recipe)
190
+
191
+ st.markdown('**About this synesthesia**')
192
+ closest_songs = [debug['nn_music'][i][:-26].split('structured_')[1].replace('_', ' ') for i in range(3)]
193
+ str_songs = 'These are the closest song I know: '
194
+ str_songs += ' '.join([f' \n* {closest_songs[i]}' for i in range(3)])
195
+ st.markdown(str_songs + '.')
196
+ str_cocktails = 'These are existing cocktails that are close to the taste of this song:'
197
+ str_cocktails += ' '.join([f' \n* {cocktail_name}: {cocktail_url}' for cocktail_name, cocktail_url in zip(debug['nearest_cocktail_names'][:3],
198
+ debug['nearest_cocktail_urls'][:3])])
199
+ st.markdown(str_cocktails + '.')
200
+
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+ if __name__ == '__main__':
202
+ setup_streamlite()
203
+ # urls = ["https://www.youtube.com/watch?v=PLFVGwGQcB0",
204
+ # "https://www.youtube.com/watch?v=VQmuAr93OlI",
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+ # "https://www.youtube.com/watch?v=Nv2GgV34qIg&list=PLO9E3V4rGLD8_iWrCioJRWZXJJE3Fzu_J&index=4",
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+ # "https://www.youtube.com/watch?v=qAEIjWYdoYc&list=PLO9E3V4rGLD8_iWrCioJRWZXJJE3Fzu_J&index=1",
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+ # "https://www.youtube.com/watch?v=M73x3O7dhmg&list=PLO9E3V4rGLD8_iWrCioJRWZXJJE3Fzu_J&index=5"]
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+ # setup_translation_models()
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+ # setup_and_run(url=urls[0], verbose=True, debug=True)
210
+ # recipes = []
211
+ # for url in urls:
212
+ # recipe = pianocktail(url=url, verbose=True, debug=True)[0]
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+ # recipes.append(recipe)
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+ # stop = 1
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