app.py

import streamlit as st

import pathlib
import textwrap
import requests
import google.generativeai as genai
import json

from scraping import get_mp3

import os

# VIDEO_URL = "https://example.com/not-youtube.mp4"
# st.video(VIDEO_URL)

def getSongUrl(title):
    url = "https://mothersuno-api.vercel.app/api/get?id"
    response = requests.get(url)
    response.json()
    for i in range(len(response.json())):
        if (response.json()[i]['title'] == title):
            return response.json()[i]['audio_url']

def generate_audio(lyrics, genre, title):
    url = "https://mothersuno-api.vercel.app/api/custom_generate"
    payload = {"prompt": lyrics, "tags" : genre, "title" : str(title), "make_instrumental": False, "wait_audio": False}
    response = requests.post(url,json=payload)
    return response.text

# print(str(title))
# print(lyrics)
# print(genre)



st.set_page_config(page_title="Syntheo", page_icon=":robot:")
st.header("NutriMentor")

if "generated" not in st.session_state:
  st.session_state["generated"] = []

if "past" not in st.session_state:
  st.session_state["past"] = []

if "messages" not in st.session_state:
  st.session_state["messages"] = []

init_alr = False

def init_model(user_input):
    os.environ["API_KEY"] = "AIzaSyAgqODyVqcqlsDC1Gzuy8TkpiWnQZVGovw"
    genai.configure(api_key=os.environ.get("API_KEY"))
    model = genai.GenerativeModel('gemini-pro')
    
    userInput = user_input #"Give me an afrofunk beat along with a cool melody and catchy drums, along with an opera style"
    prompt = userInput + ". Output ONLY the specific music genre that the user would like that fits their requirements, with no excess words. NO APOSTROPHES. Add more than one genre to best fit the user's prompt. Desired Output: <all_lowercase_comma_separated_genres>"
    response = model.generate_content(prompt)
    genre = response.text
    
    userInput = "Genre: " + genre + ". Generate lyrics that would best fit into the required genre. Generate around 2 minutes worth of lyrics. Separate verses using [Verse #] and NO APOSTROPHES AT ALL. Desired Format: <seperate_each_verse_no_asteriks_or_apostrophes>"
    response = model.generate_content(userInput)
    lyrics = response.text
    
    lyricInput = "Lyrics: " + lyrics[:25] + ". Based upon the following lyrics, please generate a title for this song. Desired Format: <title_case_without_genre>"
    response = model.generate_content(lyricInput)
    title = response.text

    # userInput = "Lyrics: " + lyrics + ". Split the following lyrics into ONLY 10 slices with each slice enhanced to describe a music video. You may slightlly alter the lyrics to best cater to this requirment. Each section is separated by a |. Use only 10 |'s. Delete ALL \n characters and Verse seperators as well. Desired Output: <|_separated>"
    # response = model.generate_content(userInput)
    # sepTen = response.text
    # whollySplit = sepTen.split("|")


    #generate_audio(lyrics, genre, title)
    
    #make API request
    #audiourl = getSongUrl(title)

    audiourl = "google.com"
    
    #call webscraping script
    #get_mp3("Samba Kickoff")

    return title, genre, lyrics, audiourl 

#st_callback = StreamlitCallbackHandler(st.container())



if prompt := st.chat_input():
    st.chat_message("user").write(prompt)
    with st.chat_message("assistant"):
        #st_callback = StreamlitCallbackHandler(st.container())

        if init_alr == False:
            init_alr = True
            
            title, genre, lyrics, audiourl  = init_model(prompt)
            #Call query generator with text_input
            #query = prompty(date_input, prompt)
            #result = qa({"query": query})
    
            st.write('Based on the interesting description you have provided, we will generate a ' + genre + ' music experience for you:')
            st.write('Title: ' + title)
            st.write('Lyrics: ' + lyrics)
            st.write('You can find the final generated audio file here: ' + audiourl)
            st.stop()