'''
pip install streamlit openai langchain 

import streamlit as st
from langchain.llms import OpenAI

st.title('🦜🔗 Quickstart App')

openai_api_key = st.sidebar.text_input('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')

def generate_response(input_text):
  llm = OpenAI(temperature=0.7, openai_api_key=openai_api_key)
  st.info(llm(input_text))

with st.form('my_form'):
  text = st.text_area('Enter text:', 'What are the three key pieces of advice for learning how to code?')
  submitted = st.form_submit_button('Submit')
  if not openai_api_key.startswith('sk-'):
    st.warning('Please enter your OpenAI API key!', icon='⚠')
  if submitted and openai_api_key.startswith('sk-'):
    generate_response(text)
'''

pip install streamlit wordcloud

import streamlit as st
from wordcloud import WordCloud
import matplotlib.pyplot as plt

# Create some sample text
text = 'Fun, fun, awesome, awesome, tubular, astounding, superb, great, amazing, amazing, amazing, amazing'

# Create and generate a word cloud image:
wordcloud = WordCloud().generate(text)

# Display the generated image:
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis("off")
plt.show()
st.pyplot()