app.py

import time
import streamlit as st
import pandas as pd 
import numpy as np 
import gpt

st.title("Learn-To-Speak")
st.text("Welcome to your language learning journey!")
st.text("We will help you speak any language of your choice within minutes!")

st.divider()
def prompt():
    languages_supported = ["", "Afrikaans", "Arabic", "Armenian", "Azerbaijani", "Belarusian", 
                           "Bosnian", "Bulgarian", "Catalan", "Chinese", "Croatian", "Czech", 
                           "Danish", "Dutch", "English", "Estonian", "Finnish", "French", "Galician", 
                           "German", "Greek", "Hebrew", "Hindi", "Hungarian", "Icelandic", "Indonesian", 
                           "Italian", "Japanese", "Kannada", "Kazakh", "Korean", "Latvian", "Lithuanian", 
                           "Macedonian", "Malay", "Marathi", "Maori", "Nepali", "Norwegian", "Persian", 
                           "Polish", "Portuguese", "Romanian", "Russian", "Serbian", "Slovak", "Slovenian", 
                           "Spanish", "Swahili", "Swedish", "Tagalog", "Tamil", "Thai", "Turkish", "Ukrainian", 
                           "Urdu", "Vietnamese", "Welsh"]
    language_selection = st.selectbox("Pick a language: ", languages_supported)
    st.divider()
    st.markdown("Ex: I want to speak in a... **business meeting**.")
    story_input = st.text_input("I want to speak ...", max_chars=25)
    story_input = str.lower(story_input)
    st.divider()
    clicked = st.button("Learn!", type="primary", disabled=(True if (story_input == "" or language_selection == "") else False))
    st.write("\n\n\n Protoype in-progress. © Property of Nakul Srikanth")
    if clicked:
        generate_text(language_selection, story_input, st.secrets["user_api_key"])
        st.write("*GPT may not always produce accurate responses.")
    
            

def display_text(txt):
    for t in txt:
        yield t
        time.sleep(0.01)

def generate_text(language, prompt, user_api_key):
    st.divider()
    st.subheader("Let's Learn " + language + "!")
    with st.spinner('Wait for it...'):
        response = gpt.fetch_response(language, prompt, user_api_key)
    st.write_stream(display_text(response))
    return True
        

prompt()