import os import sys import gradio as gr from openai import OpenAI from dotenv import load_dotenv from pymongo.mongo_client import MongoClient from pymongo.server_api import ServerApi # file extension stuff import requests import tempfile from io import BytesIO load_dotenv() openai_key = os.getenv("OPENAI_API_KEY") pw_key = os.getenv("PW") if openai_key == "": openai_key = "" if pw_key == "": pw_key = "" if pw_key == "": sys.exit("Please Provide A Password in the Environment Variables") if openai_key == "": sys.exit("Please Provide Your OpenAI API Key") # Connect to MongoDB uri = os.getenv("MONGO_URI") mongo_client = MongoClient(uri, server_api=ServerApi('1')) mongo_db = mongo_client.pdr mongo_collection = mongo_db["images"] # Send a ping to confirm a successful connection try: mongo_client.admin.command('ping') print("Pinged your deployment. You successfully connected to MongoDB!") except Exception as e: print(e) def generate_images(prompts, pw, model): # add a conditional to check for a valid password if pw != os.getenv("PW"): # output an error message to the user in the gradio interface if password is invalid raise gr.Error("Invalid password. Please try again.") image_paths = [] # Initialize a list to hold paths of generated images # Split the prompts string into individual prompts based on comma separation prompts_list = prompts.split(',') for prompt in prompts_list: text = prompt.strip() # Remove leading/trailing whitespace try: client = OpenAI(api_key=openai_key) response = client.images.generate( prompt=text, model=model, # dall-e-2 or dall-e-3 quality="standard", # standard or hd size="512x512" if model == "dall-e-2" else "1024x1024", # varies for dalle-2 and dalle-3, see https://openai.com/pricing for resolutions n=1, # Number of images to generate ) image_url = response.data[0].url try: mongo_collection.insert_one({"text": text, "model": model, "image_url": image_url}) except Exception as e: print(e) raise gr.Error("An error occurred while saving the prompt to the database.") # create a temporary file to store the image with extension image_response = requests.get(image_url) if image_response.status_code == 200: # Use a temporary file to automatically clean up after the file is closed temp_file = tempfile.NamedTemporaryFile(delete=False, suffix='.png') temp_file.write(image_response.content) temp_file.close() # return the file with extension for download # return temp_file.name # append the file with extension to the list of image paths print(temp_file.name) image_paths.append(temp_file.name) else: raise gr.Error("Failed to download the image.") except Exception as error: print(str(error)) raise gr.Error(f"An error occurred while generating the image for: {prompt}") return image_paths with gr.Blocks() as demo: gr.Markdown("#
Prompt de Resistance Image Generator
") gr.Markdown("**Instructions**: To use this service, please enter the password. Then generate an image from the prompt field below, then click the download arrow from the top right of the image to save it.") pw = gr.Textbox(label="Password", type="password", placeholder="Enter the password to unlock the service") text = gr.Textbox(label="What do you want to create?", placeholder="Enter your text and then click on the \"Image Generate\" button") model = gr.Dropdown(choices=["dall-e-2", "dall-e-3"], label="Model", value="dall-e-3") btn = gr.Button("Generate Images") # output_image = gr.Image(label="Image Output") output_images = gr.Gallery(label="Image Outputs",columns=[3], rows=[1], object_fit="contain", height="auto",allow_preview=False) text.submit(fn=generate_images, inputs=[text,pw,model], outputs=output_images, api_name="generate_image") btn.click(fn=generate_images, inputs=[text,pw,model], outputs=output_images, api_name=False) demo.launch(share=True)