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import streamlit as st | |
# import base64 | |
import openai | |
import os | |
from pathlib import Path | |
from dotenv import load_dotenv | |
load_dotenv() | |
# Streamlit page setup | |
st.set_page_config(page_title="Pixel Generator", layout="centered", initial_sidebar_state="collapsed") | |
#Add the image with a specified width | |
image_width = 300 # Set the desired width in pixels | |
# st.image('MTSS.ai_Logo.png', width=image_width) | |
st.image('/Users/cheynelevesseur/Desktop/Python_Code/LLM_Projects/LLM_Vision/MTSS.ai_Logo.png', width=image_width) | |
st.header('PromptCanvas™ | Images') | |
st.subheader('Image Generator') | |
# Retrieve the OpenAI API Key from secrets | |
# openai.api_key = st.secrets["openai_api_key"] | |
# Set the OpenAI API key | |
# Retrieve OpenAI API key from environment variables | |
openai_api_key = os.getenv('OPENAI_API_KEY') | |
if not openai_api_key: | |
raise ValueError("OPENAI_API_KEY not set in environment variables") | |
# Set the OpenAI API key | |
openai.api_key = openai_api_key | |
def generate_images(prompt): #def generate_images(image_description, num_images): | |
response = openai.images.generate( | |
model="dall-e-3", | |
prompt = prompt, | |
size="1024x1024", | |
quality="standard", | |
n = 1, | |
) | |
image_url = response.data[0].url | |
return image_url | |
prompt = st.text_area("Enter a description for the image you want to generate") | |
#create a button | |
if st.button("Generate Images"): | |
generate_image=generate_images(prompt) #generate_image=generate_images(prompt, num_of_images) | |
st.image(generate_image) | |