app.py

import os
import gradio as gr
import openai
import requests
from PIL import Image
import io
import numpy as np

openai.api_key = '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' # your api key

def DALLE(user_input):
    prompt = user_input
    print("Prompt:", prompt)
    
    # Create the DALL-E image using the OpenAI API
    data = {
        "model": "image-alpha-001",
        "prompt": f"{prompt}:::",
        "n": 1,
        "size": "1024x1024",
        "response_format": "url"
    }
    headers = {
        "Content-Type": "application/json",
        "Authorization": f"Bearer {openai.api_key}"
    }
    response = requests.post("https://api.openai.com/v1/images/generations", json=data, headers=headers)
    response.raise_for_status()
    
    # Convert the image to a format that Gradio can display
    img_bytes = io.BytesIO(requests.get(response.json()["data"][0]["url"]).content)
    img = Image.open(img_bytes)
    img_arr = np.array(img)
    
    return img_arr

iface = gr.Interface(fn=DALLE, inputs="text", outputs="image", title="bhAI (text to image)")
iface.launch()