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Parent(s):
Duplicate from abhi1nandy2/AI_Music_Team
Browse filesCo-authored-by: Abhilash Nandy <abhi1nandy2@users.noreply.huggingface.co>
- .gitattributes +34 -0
- README.md +13 -0
- app.py +307 -0
- requirements.txt +2 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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title: AI Music Team
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emoji: 🔥
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colorFrom: yellow
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colorTo: green
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sdk: gradio
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sdk_version: 3.27.0
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app_file: app.py
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pinned: false
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duplicated_from: abhi1nandy2/AI_Music_Team
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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import openai
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ai_role_dict = {
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"music_director": "You are an Experienced Music Director who has 15+ Years experience in the industry",
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"lyricist": "You are an Experienced Lyricist, who has written hit songs in several languages",
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"freelance_lyricist": "You are an Experienced Freelance Lyricist, who has helped writing songs in several languages",
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"music_composer": "You are an Experienced Music Composer, who has composed songs of several genre and arrangements over the years",
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"sound_engineer": "You are an Experienced Sound Engineer, who can provide expert feedback on the arrangement being used."
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}
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languages = [
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"Afrikaans",
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"Albanian",
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"Amharic",
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"Arabic",
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"Armenian",
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"Assamese",
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"Aymara",
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"Azerbaijani",
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"Bhojpuri",
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"Basque",
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"Belarusian",
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"Bengali",
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"Bambara",
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"Bosnian",
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"Bulgarian",
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"Burmese (Myanmar)",
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"Catalan",
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"Cebuano",
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"Chewa (Chichewa)",
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"Chinese (Simplified)",
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"Chinese (Traditional)",
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"Corsican",
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"Croatian",
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"Czech",
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"Danish",
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"Dogri",
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"Dutch",
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"English",
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"Esperanto",
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"Estonian",
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"Ewe",
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"Finnish",
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"French",
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"Galician",
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"Georgian",
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"German",
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"Greek",
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"Guarani",
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"Gujarati",
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"Haitian Creole",
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"Hausa",
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"Hawaiian",
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"Hebrew",
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"Hindi",
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"Hmong",
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"Hungarian",
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"Icelandic",
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"Igbo",
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"Ilocano",
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"Indonesian",
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"Irish",
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"Italian",
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"Japanese",
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"Javanese",
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"Kannada",
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"Kazakh",
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"Khmer",
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"Kinyarwanda",
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+
"Konkani",
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+
"Korean",
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"Krio",
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+
"Kurdish (Kurmanji)",
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+
"Kurdish (Sorani)",
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+
"Kyrgyz",
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+
"Lao",
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"Latin",
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+
"Latvian",
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"Lingala",
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+
"Lithuanian",
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"Luganda",
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"Luxembourgish",
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"Macedonian",
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"Maithili",
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"Malagasy",
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"Malay",
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"Malayalam",
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"Maldivian (Dhivehi)",
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"Maltese",
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"Māori (Maori)",
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"Marathi",
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"Meitei (Manipuri, Meiteilon)",
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"Mizo",
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"Mongolian",
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"Nepali",
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"Northern Sotho (Sepedi)",
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"Norwegian (Bokmål)",
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"Odia (Oriya)",
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"Oromo",
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"Pashto",
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"Persian",
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"Polish",
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"Portuguese",
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"Punjabi (Gurmukhi)",
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"Quechua",
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"Romanian",
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"Russian",
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"Samoan",
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"Sanskrit",
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"Scottish Gaelic (Scots Gaelic)",
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"Serbian",
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"Shona",
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"Sindhi",
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"Sinhala",
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"Slovak",
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"Slovenian",
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"Somali",
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"Sotho (Sesotho)",
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"Spanish",
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"Sundanese",
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"Swahili",
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"Swedish",
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"Tagalog (Filipino)",
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"Tajik",
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"Tamil",
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"Tatar",
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"Telugu",
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"Thai",
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"Tigrinya",
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"Tsonga",
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"Turkish",
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"Turkmen",
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"Twi",
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"Ukrainian",
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"Urdu",
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"Uyghur",
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"Uzbek",
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"Vietnamese",
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"Welsh",
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"West Frisian (Frisian)",
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"Xhosa",
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"Yiddish",
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"Yoruba",
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"Zulu"
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]
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from tenacity import (
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retry,
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stop_after_attempt,
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wait_random_exponential,
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) # for exponential backoff
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@retry(wait=wait_random_exponential(min=1, max=100), stop=stop_after_attempt(8))
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def get_response(ai_role, query, model):
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response = openai.ChatCompletion.create(
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model=model,
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messages=[
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{"role": "system", "content": "{}".format(ai_role)},
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{"role": "user", "content": "{}".format(query)},
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]
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)
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return response['choices'][0]['message']['content']
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def write_intermediate_outputs(filename, text):
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with open(filename, 'w') as fw:
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fw.write(text)
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sample_file_path = f'./{filename}'
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return sample_file_path
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def write_and_compose(model, api_key, language, genre, keywords, emotion):
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openai.api_key = api_key
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initial_lyrics = get_response(ai_role_dict['freelance_lyricist'], "Write structured lyrics of a {} {} song with the following keywords - {}, and use the following emotion - {}".format(language, genre, keywords, emotion), model)
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query_feedback = '''The Freelance Lyricist submitted these lyrics:
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{}
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+
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Provide suitable feedback (in bullet-points)
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'''
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feedback1 = get_response(ai_role_dict['music_director'], query_feedback.format(initial_lyrics), model)
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feedback2 = get_response(ai_role_dict['lyricist'], query_feedback.format(initial_lyrics), model)
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# Workflow: Step 3
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feedback = '''After seeing the lyrics you initially submitted -
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{}
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the music director provided the following feedback -
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{}
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the lyricist provided the following feedback as well -
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{}
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Incorporate this feedback, and make suggested changes to the lyrics based on the feedback only
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'''
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final_lyrics = get_response(ai_role_dict['freelance_lyricist'], feedback.format(initial_lyrics, feedback1, feedback2), model)
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# Workflow: Step 4
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query_composer = '''Given the lyrics of the {} {} song on {} in the emotion - {} -
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{}
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write a suitable chord progression (for each line of the same lyrics), followed by the suitable arrangement required to sing and record the song (in bullet points)'''
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composition_1 = get_response(ai_role_dict['music_composer'], query_composer.format(language, genre, keywords, emotion, final_lyrics), model)
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query_sound_engineer = '''Given the lyrics of the {} {} song on {} in the emotion - {} -
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{}
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with a Chord Progression and Arrangement (suggested by the Music Composer) -
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{}
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could you write improvements that could be made to the Arrangement (in bullet points)? If the current arrangement is upto the mark, write "No change in the arrangement required"
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'''
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composition_2 = get_response(ai_role_dict['sound_engineer'], query_sound_engineer.format(language, genre, keywords, emotion, final_lyrics, composition_1), model)
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final_query = '''Given the lyrics of the {} {} song on {} in the emotion - {} -
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{}
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with a Chord Progression and Arrangement (suggested by the Music Composer) -
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{}
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and further improvements on the Arrangement (suggested by the Sound Engineer)
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{}
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- suggest any further improvements that could be made to the (a) Chord Progression (b) Arrangement.
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- After that, Write 10 "="s in the next line
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- After that, Write the final Chord Progression and Arrangement
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- Also, write a suitable title for the song
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'''
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final_response = get_response(ai_role_dict['music_director'], final_query.format(language, genre, keywords, emotion, final_lyrics, composition_1, composition_2), model)
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250 |
+
final_improvements = final_response.split('==========')[0]
|
251 |
+
|
252 |
+
final_chord_prog_and_composition = final_response.split('==========')[-1]
|
253 |
+
|
254 |
+
# return initial_lyrics, feedback1, feedback2, final_lyrics, composition_1, composition_2, final_improvements, final_chord_prog_and_composition
|
255 |
+
|
256 |
+
output_file_list = []
|
257 |
+
output_file_list.append(write_intermediate_outputs('step_2.txt', initial_lyrics))
|
258 |
+
output_file_list.append(write_intermediate_outputs('step_3A.txt', feedback1))
|
259 |
+
output_file_list.append(write_intermediate_outputs('step_3B.txt', feedback2))
|
260 |
+
output_file_list.append(write_intermediate_outputs('step_5.txt', composition_1))
|
261 |
+
output_file_list.append(write_intermediate_outputs('step_6.txt', composition_2))
|
262 |
+
output_file_list.append(write_intermediate_outputs('step_7.txt', final_improvements))
|
263 |
+
|
264 |
+
return final_lyrics, final_chord_prog_and_composition, output_file_list
|
265 |
+
|
266 |
+
import gradio as gr
|
267 |
+
|
268 |
+
description = '''<span style="font-family:Papyrus; font-size:1.5em;">
|
269 |
+
|
270 |
+
# Objective -
|
271 |
+
|
272 |
+
Given specific Language, Genre, Keywords, and Emotion of your choice, make a Brand New Song without lifting a finger!
|
273 |
+
|
274 |
+
1. Get lyrics of a new song
|
275 |
+
2. Get a suitable chord progression
|
276 |
+
3. Get a suitable musical arrangement for singing and recording the song
|
277 |
+
4. Cherry on the top - Get a suitable song title!
|
278 |
+
|
279 |
+
|
280 |
+
# AI Music Team is composed of several GPT agents with the following "personas" -
|
281 |
+
|
282 |
+
1. Experienced Music Director who has 15+ Years experience in the industry
|
283 |
+
2. Experienced Lyricist, who has written hit songs in several languages
|
284 |
+
3. Experienced Freelance Lyricist, who has helped writing songs in several languages
|
285 |
+
4. Experienced Music Composer, who has composed songs of several genre and arrangements over the years
|
286 |
+
5. Experienced Sound Engineer, who can provide expert feedback on the arrangement being used
|
287 |
+
|
288 |
+
|
289 |
+
# Workflow (Intermediate outputs/results are output as downloadable files) -
|
290 |
+
|
291 |
+
1. Get Inputs from user (OpenAI API Endpoint, API Key, language, keywords, genre, emotion for the song). Check out [this link](https://platform.openai.com/account/api-keys) to get your API Key
|
292 |
+
2. Experienced Freelance Lyricist writes a lyrics draft (**see `step_2.txt`**)
|
293 |
+
3. Experienced Music Director and Experienced Lyricist provide feedback (**see `step_3A.txt` & `step_3B.txt` respectively**)
|
294 |
+
4. Experienced Freelance Lyricist incorporates the feedback, **Lyrics is finalized here**
|
295 |
+
5. Experienced Music Composer will provide a chord progression, and an arrangement of instruments (**see `step_5.txt`**)
|
296 |
+
6. Experienced Sound Engineer will provide ways to improve on the existing arrangement (**see `step_6.txt`**)
|
297 |
+
7. Finally, Music Director will provide improvements (**see `step_7.txt`**), resulting in the **final Chord Progression, Arrangement, and Song Title**
|
298 |
+
</span>
|
299 |
+
'''
|
300 |
+
|
301 |
+
demo = gr.Interface(title = 'Write and Compose brand new Songs using an Elite *AI Music Team*', description = description,
|
302 |
+
fn=write_and_compose,
|
303 |
+
inputs=[gr.Radio(["gpt-3.5-turbo", "gpt-4"], value="gpt-3.5-turbo", label = "Choose the OpenAI API Endpoint"), gr.Textbox(label="API Key (Check out [this link](https://platform.openai.com/account/api-keys) to get your API Key)"), gr.Dropdown(choices=languages, value='English', label="Language of the lyrics"), gr.Textbox(label="Genre"), gr.Textbox(label="Keywords (separated by comma)"), gr.Textbox(label="Emotion")], # model, api_key, language, genre, keywords, emotion
|
304 |
+
# outputs=[gr.Textbox(label="Lyrics after Step #2"), gr.Textbox(label="Feedback provided by Music Director in Step #3"), gr.Textbox(label="Feedback provided by Lyricist in Step #3"), gr.Textbox(label="Final Lyrics of the song after Step #4"), gr.Textbox(label="Chord Progression and Arrangement suggested by Music Composer in Step #5"), gr.Textbox(label="Arrangement improvements suggested by Sound Engineer in Step #6"), gr.Textbox(label="Chord and Arrangement improvements suggested by Music Director in Step #7"), gr.Textbox(label="Final Chord Progression, Arrangment, and Song Title")], # initial_lyrics, feedback1, feedback2, final_lyrics, composition_1, composition_2, final_improvements, final_chord_prog_and_composition
|
305 |
+
outputs=[gr.Textbox(label="Final Lyrics of the song after Step #4"), gr.Textbox(label="Final Chord Progression, Arrangement, and Song Title"), gr.File(label='Intermediate Outputs')], # initial_lyrics, feedback1, feedback2, final_lyrics, composition_1, composition_2, final_improvements, final_chord_prog_and_composition
|
306 |
+
)
|
307 |
+
demo.launch()
|
requirements.txt
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
openai
|
2 |
+
tenacity
|