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ProfessorLeVesseur
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Upload 3 files
Browse files- MTSS.ai_Logo.png +0 -0
- PromptCanvas_ImageGenerator.py +54 -0
- requirements.txt +3 -0
MTSS.ai_Logo.png
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PromptCanvas_ImageGenerator.py
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import streamlit as st
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# import base64
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import openai
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import os
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from pathlib import Path
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from dotenv import load_dotenv
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load_dotenv()
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# Streamlit page setup
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st.set_page_config(page_title="Pixel Generator", layout="centered", initial_sidebar_state="collapsed")
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#Add the image with a specified width
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image_width = 300 # Set the desired width in pixels
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# st.image('MTSS.ai_Logo.png', width=image_width)
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st.image('/Users/cheynelevesseur/Desktop/Python_Code/LLM_Projects/LLM_Vision/MTSS.ai_Logo.png', width=image_width)
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st.header('PromptCanvas™ | Images')
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st.subheader('Image Generator')
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# Retrieve the OpenAI API Key from secrets
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# openai.api_key = st.secrets["openai_api_key"]
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# Set the OpenAI API key
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# Retrieve OpenAI API key from environment variables
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openai_api_key = os.getenv('OPENAI_API_KEY')
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if not openai_api_key:
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raise ValueError("OPENAI_API_KEY not set in environment variables")
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# Set the OpenAI API key
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openai.api_key = openai_api_key
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def generate_images(prompt): #def generate_images(image_description, num_images):
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response = openai.images.generate(
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model="dall-e-3",
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prompt = prompt,
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size="1024x1024",
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quality="standard",
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n = 1,
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)
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image_url = response.data[0].url
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return image_url
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prompt = st.text_area("Enter a description for the image you want to generate")
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#create a button
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if st.button("Generate Images"):
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generate_image=generate_images(prompt) #generate_image=generate_images(prompt, num_of_images)
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st.image(generate_image)
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requirements.txt
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openai
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langchain
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streamlit
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