NLP / app.py
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import os
import openai
import streamlit as st
# Define the prompt template
def generate_poem(theme):
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": "You are a poet."},
{"role": "user", "content": f"Write a poem about {theme}"},
],
max_tokens=150,
temperature=0.7,
)
return response['choices'][0]['message']['content'].strip()
# Function to chain prompts
def chain_prompts(initial_theme):
initial_output = generate_poem(initial_theme)
refined_prompt = f"Expand on this idea: {initial_output}"
refined_output = generate_poem(refined_prompt)
return refined_output
# Initialize the sidebar for API key entry
st.sidebar.title("Settings")
api_key = st.sidebar.text_input("Enter OpenAI API Key", type="password")
os.environ["OPENAI_API_KEY"] = api_key
openai.api_key = os.getenv("OPENAI_API_KEY")
# Additional sidebar options
# Here you can add more inputs or settings that are relevant to your application
# Streamlit app main area
st.title("Poetry Generator")
theme = st.text_input("Enter a theme or prompt for your poem:")
# Generate poem button
if st.button("Generate Poem"):
poem = chain_prompts(theme)
st.write(poem)