streamlit_test / app.py
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'''
pip install streamlit openai langchain
import streamlit as st
from langchain.llms import OpenAI
st.title('πŸ¦œπŸ”— 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()