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/c9ozb/")

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 logo. Ensure that the prompt is clear, imaginative, and provides specific details that will guide the logo creation process effectively.
    """
    prompt = f"<s>[SYS] {system_prompt} [/SYS][INST] {logo_request} [/INST]</s>"
    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
        yield output

def generate_image(prompt):
    result = client_playground.predict(
        prompt,
        "",  # negative prompt
        False,  # use negative prompt
        42,  # seed
        1024,  # width
        1024,  # height
        3.0,  # guidance scale
        False,  # 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/c9ozb/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):
    improved_prompt = next(generate_improved_prompt(logo_request))
    image = generate_image(improved_prompt)
    return image

with gr.Blocks(css=css) as app:
    with gr.Row():
        with gr.Column(scale=2):
            gr.HTML("<h1>Settings</h1>")
            logo_input = gr.Textbox(label="Input your logo request", placeholder="Describe the logo you want...")
        with gr.Column(scale=3):
            gr.HTML("<h1><center>Magic AI Logo Generator<h1><center>")
            generate_button = gr.Button("Generate")
            output_image = gr.Image(label="Generated Logo")
            generate_button.click(
                fn=process_request,
                inputs=[logo_input],
                outputs=output_image
            )

    gr.Markdown("""
    ---
    ### Meta Information
    **Project Title**: Logo Prompt Generator
    
    **Github**: [https://github.com/pacnimo/gpt-prompt-generator](https://github.com/pacnimo/)
    
    **Description**: Logo Prompt Generator is Free and Easy to Use. Create a GPT Prompt Based on the Logo Request. 1 Click Prompt Generator.
    
    **Footer**: © 2024 by [pacnimo](https://github.com/pacnimo/). All rights reserved.
    """) # Meta, project description, and footer added here

app.launch(debug=True)