poem_analysis / generate_poems.py
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import streamlit as st
import os
from dotenv import load_dotenv
from groq import Groq
load_dotenv()
# Initialize Groq client
client = Groq(api_key=os.getenv("GROQ_API_KEY"))
# Directory for poems
poems_directory = "./poems"
os.makedirs(poems_directory, exist_ok=True)
def generate_poems(num_poems, length_per_poem, output_dir, instructions):
if not os.path.exists(output_dir):
os.makedirs(output_dir)
for i in range(num_poems):
chat_completion = client.chat.completions.create(
messages=[
{"role": "system", "content": "You are a talented poet."},
{"role": "user", "content": f"{instructions}\n Make sure all the poems have the same length of {length_per_poem} tokens."}
],
model="llama3-8b-8192",
temperature=0.7,
max_tokens=length_per_poem,
top_p=1,
stop=None,
stream=False,
)
poem = chat_completion.choices[0].message.content.strip()
with open(os.path.join(output_dir, f'poem_{i + 1}.txt'), 'w') as f:
f.write(poem)
def generate_poems_page():
st.header("Generate Poems")
# Input fields for poem generation parameters
num_poems = st.number_input("Number of poems to generate", min_value=1, max_value=100, value=5)
length_per_poem = st.number_input("Length of each poem in tokens", min_value=50, max_value=1000, value=150)
instructions = st.text_area("Custom instructions", "You are a talented poet.")
if st.button("Generate Poems"):
generate_poems(num_poems, length_per_poem, poems_directory, instructions)
st.success(f"Generated {num_poems} poems and saved to {poems_directory}")