import gradio as gr from huggingface_hub import InferenceClient from gradio_client import Client from PIL import Image import requests from io import BytesIO # Initialize the HuggingFace Inference Client with the specified model client_mistral = InferenceClient("mistralai/Mistral-7B-Instruct-v0.2") # Initialize the Playground AI client client_playground = Client("https://playgroundai-playground-v2-5.hf.space/--replicas/tjkvn/") def format_prompt(logo_request): system_prompt = """ You are an advanced language model designed to create detailed and creative image prompts for logo generation. Based on the user's input, generate an elaborate and descriptive image prompt that can be used to create a high-quality icon logo. Ensure that the prompt is clear, imaginative, and provides specific details that will guide the logo creation process effectively. The logo should be a simple, stylized, and abstract icon without any text, focusing solely on graphical elements suitable for a logo. """ prompt = f"[SYS] {system_prompt} [/SYS][INST] {logo_request} [/INST]" return prompt def generate_improved_prompt(logo_request, temperature=0.9, max_new_tokens=512, top_p=0.95, repetition_penalty=1.0): temperature = float(temperature) if temperature < 1e-2: temperature = 1e-2 top_p = float(top_p) generate_kwargs = { "temperature": temperature, "max_new_tokens": max_new_tokens, "top_p": top_p, "repetition_penalty": repetition_penalty, "do_sample": True, "seed": 42, } formatted_prompt = format_prompt(logo_request) stream = client_mistral.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False) output = "" for response in stream: output += response.token.text return output def generate_image(prompt, width=1024, height=1024, guidance_scale=7.5): result = client_playground.predict( prompt, "", # negative prompt False, # use negative prompt 0, # seed width, # width height, # height guidance_scale, # guidance scale True, # randomize seed api_name="/run" ) # Extract the image URL from the result image_path = result[0][0]["image"] image_url = "https://playgroundai-playground-v2-5.hf.space/--replicas/tjkvn/file=" + image_path # Fetch and display the result image response = requests.get(image_url) if response.headers['Content-Type'].startswith('image'): img = Image.open(BytesIO(response.content)) return img else: return None css = """ #mkd { height: 500px; overflow: auto; border: 1px solid #ccc; } """ def process_request(logo_request, width, height, guidance_scale): improved_prompt = generate_improved_prompt(logo_request) image = generate_image(improved_prompt, width, height, guidance_scale) return improved_prompt, image with gr.Blocks(css=css) as app: with gr.Row(): with gr.Column(scale=2): gr.HTML("

Settings

") logo_input = gr.Textbox(label="Input your logo request", placeholder="Describe the logo you want...") width = gr.Slider(label="Width", minimum=256, maximum=1536, value=1024) height = gr.Slider(label="Height", minimum=256, maximum=1536, value=1024) guidance_scale = gr.Slider(label="Guidance Scale", minimum=0.1, maximum=20, value=3) with gr.Column(scale=3): gr.HTML("

Magical AI Logo Generator

") generate_button = gr.Button("Generate") prompt_output = gr.Textbox(label="Generated Prompt", interactive=False, lines=5) image_output = gr.Image(label="Generated Logo") generate_button.click( fn=process_request, inputs=[logo_input, width, height, guidance_scale], outputs=[prompt_output, image_output] ) gr.Markdown(""" --- ### Meta Information **Project Title**:Magical AI Logo Generator **Github**: [https://github.com/pacnimo/gpt-prompt-generator](https://github.com/pacnimo/) **Description**: Magical AI Logo Generator is Free and Easy to Use. Create a GPT Prompt Based on the Logo Request. 1 Click Logo Generator. **Footer**: © 2024 by [pacnimo](https://github.com/pacnimo/). All rights reserved. """) app.launch(debug=True)