app.py

import os, sys, json, re, base64, random, requests, shutil
import gradio as gr
from datetime import datetime
import urllib.parse
from groq import Groq
from exif import Image
from PIL import Image as PILImage
import colorsys

MAX_SEED = 9999
MAX_IMAGE_SIZE = 2048

GROQ_APIKEY_PROMPTENHANCE = os.environ["GROQ_APIKEY_PROMPTENHANCE"]


# delete cache folder if exist and create new
CACHE_DIR = os.path.join(os.path.dirname(__file__), "cache")
IMAGE_DIR = os.path.join(CACHE_DIR, "images")
if os.path.exists(CACHE_DIR):
    shutil.rmtree(CACHE_DIR)
os.makedirs(CACHE_DIR)
os.makedirs(IMAGE_DIR)

RES = os.path.join(os.path.dirname(__file__), "_res")

custom_css = RES + "/_custom.css"
custom_js = RES + "/_custom.js"


title = "Pollinations Image Generator"
description = "Pollinations API + Randomizer"


theme = gr.themes.Soft(
    primary_hue="amber",
    radius_size="sm",
)


def read_exif(image_path):
    with open(image_path, "rb") as src:
        img = Image(src)
        img_comment = json.loads(img.user_comment)

        # checking if the key exists before removing
        if "concept" in img_comment:
            img_comment.pop("concept")

        return img_comment


def read_image_exfi_data(image_path):
    print("Imagepath:", image_path)
    img_exif_make, img_exif_comment = read_exif(image_path)
    return None, image_path, img_exif_comment


def groq_enhance_process(Prompt):
    client = Groq(api_key=GROQ_APIKEY_PROMPTENHANCE)

    SYSTEMPROMPT = os.path.join(RES, "groq_systemmessage_prompt_enhance.json")
    with open(SYSTEMPROMPT, "r") as f:
        SYSTEMPROMPT = json.load(f)

    completion = client.chat.completions.create(
        model="llama-3.1-70b-versatile",
        messages=[SYSTEMPROMPT, {"role": "user", "content": Prompt}],
        temperature=0.8,
        max_tokens=8000,
        top_p=0.9,
        stream=False,
        stop=None,
    )

    if completion.choices[0].message.content != "":
        enhanced_prompt = completion.choices[0].message.content

    return enhanced_prompt


def enhance_process(Prompt):
    encode_prompt = urllib.parse.quote(Prompt)
    request_url = f"https://image.pollinations.ai/prompt/{encode_prompt}?model=turbo&width=512&height=512&nologo=true&enhance=true&nofeed=true"
    print(request_url)
    response = requests.get(request_url)
    if response.status_code == 200:
        filename = datetime.now().strftime("%Y-%m-%d_%H-%M-%S") + ".png"
        file_path = os.path.join(CACHE_DIR, filename)
        with open(file_path, "wb") as f:
            f.write(response.content)
        img_exif_comment = read_exif(file_path)
        prompt_value = img_exif_comment.get("prompt", "")
        prompt_value = prompt_value.replace(Prompt, "").strip()
        print(prompt_value)
        return prompt_value


def image_get_colors(image_path):
    img = PILImage.open(image_path)
    img = img.convert("RGB")
    pixels = list(img.getdata())

    # Erzeuge eine Liste mit den Häufigkeiten der Farben
    colors = []
    for pixel in pixels:
        r, g, b = pixel
        h, s, v = colorsys.rgb_to_hsv(r / 255, g / 255, b / 255)
        if v > 0.5:  # Filteriere hellere Farben aus
            continue
        if v > 0.99:  # Filteriere Weiß aus
            continue
        colors.append((h, s, v))

    # Ermittle die dominante Farbe
    dominant_color = max(colors, key=lambda x: x[2])
    dominant_color_rgb = colorsys.hsv_to_rgb(dominant_color[0], dominant_color[1], dominant_color[2])
    dominant_color_rgb = [int(c * 255) for c in dominant_color_rgb]
    print(dominant_color_rgb)

    return dominant_color_rgb


def process(Prompt, image_width, image_height, image_seed, randomize_seed):

    used_seed = random.randint(0, MAX_SEED) if image_seed == 0 or randomize_seed else image_seed

    timestamp = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
    filename = timestamp + ".png"
    # file_path = os.path.join(filename_dir, filename)
    file_path = os.path.join(IMAGE_DIR, filename)

    encode_prompt = urllib.parse.quote(Prompt)
    request_url = f"https://image.pollinations.ai/prompt/{encode_prompt}?model=flux&width={image_width}&height={image_height}&nologo=true&enhance=false&nofeed=true&seed={used_seed}"
    print(request_url)
    response = requests.get(request_url)
    if response.status_code == 200:
        with open(file_path, "wb") as f:
            f.write(response.content)

        img_exif_comment = read_exif(file_path)
        img_dominant_color = image_get_colors(file_path)

        return ({"value": file_path, "__type__": "update"}, {"value": request_url, "visible": True, "__type__": "update"}, used_seed, img_exif_comment, {"visible": True, "__type__": "update"}, {"value": Prompt, "visible": True, "__type__": "update"}, {"value": file_path, "visible": True, "__type__": "update"})


with gr.Blocks(theme=theme, css=custom_css) as demo:
    with gr.Tab("Image Generator"):
        with gr.Row():
            with gr.Column(scale=1):
                with gr.Row():
                    text_prompt = gr.Textbox(label="Prompt", show_label=False, lines=12, max_lines=18, placeholder="Enter your Image prompt here...", elem_classes="prompt-input", autofocus=True)
                with gr.Row():
                    with gr.Column(scale=2, elem_classes="image_size_selctor_wrapper"):
                        image_width = gr.Slider(label="Width", minimum=256, maximum=MAX_IMAGE_SIZE, value=1024, step=128, elem_classes="image-width-selector")
                        image_height = gr.Slider(label="Height", minimum=256, maximum=MAX_IMAGE_SIZE, value=683, step=128, elem_classes="image-height-selector")
                        # with gr.Row():
                        #     image_ratio_buttons = gr.Radio(["16:9", "4:3", "3:2", "1:1"], value="3:2", label="Bild Größe", interactive=True, elem_classes="image-ratio-buttons", container=True, show_label=False)
                        #     switch_width_height = gr.Button("🔁", size="sm", elem_id="switchRatioBtn", elem_classes="switch-ratio-btn", variant="primary")
                with gr.Row():
                    with gr.Column():
                        image_seed = gr.Slider(label="Seed", minimum=0, step=1, value=42, maximum=MAX_SEED)
                        randomize_seed = gr.Checkbox(label="Randomize seed", value=False)
                with gr.Row():
                    run_button = gr.Button("Erstellen", variant="primary", elem_classes="run_button")
                    enhance_button = gr.Button("Prompt verbessern", variant="secondary", elem_classes="enhance-button")

            with gr.Column(scale=3):
                with gr.Row():
                    with gr.Column(scale=3):
                        output_image = gr.Image(show_label=False, height=720)
                    with gr.Column(scale=1):
                        image_informations = gr.Markdown("""## Bildinformationen""", visible=False)
                        # textbox_your_prompt = gr.Textbox(label="Dein Prmopt", lines=2, max_lines=4, interactive=False, show_copy_button=True)
                        textbox_prompt = gr.Textbox("Bild Prompt", lines=4, max_lines=8, interactive=False, show_copy_button=True, visible=False)
                        image_download_button = gr.DownloadButton("Bild herunterladen", value=None, elem_classes="download-button", variant="Primary", visible=False)

                # output_image = gr.Gallery(label="Generated images", show_label=False, elem_id="gallery", columns=[1], rows=[1], object_fit="contain", height="768")
                output_url = gr.Textbox(label="Output URL", show_label=True, interactive=False, show_copy_button=True, visible=False)
                outpu_image_comment = gr.Json(visible=False)
                # output_image = gr.Image(label="Generated image", show_label=True, height=720, show_share_button=False)
                # gallery = gr.Gallery(label="Generated Gallery", show_label=True, elem_id="gallery", columns=[3], rows=[1], object_fit="contain", height="auto", type="filepath")
                # testimage = gr.Image(value="images/2024-08-22/2024-08-22_00-45-31.png", type="pil")
                # gr.HTML("<div>")
                # for image_path in os.listdir(images_dir):
                #     gr.HTML(f'<img src="images/2024-08-21/{image_path}" />')
                # gr.HTML("</div>")

        def switch_image_size_values(image_width, image_height):
            return image_height, image_width

        switch_width_height.click(fn=switch_image_size_values, inputs=[image_width, image_height], outputs=[image_width, image_height])

        run_button.click(fn=process, inputs=[text_prompt, image_width, image_height, image_seed, randomize_seed], outputs=[output_image, output_url, image_seed, outpu_image_comment, image_informations, textbox_prompt, image_download_button])
        enhance_button.click(fn=groq_enhance_process, inputs=[text_prompt], outputs=[text_prompt])

demo.launch()

"""
    ## Endpoint
    GET https://image.pollinations.ai/prompt/{prompt}

    ## Description
    This endpoint generates an image based on the provided prompt and optional parameters. It returns a raw image file.

    ## Parameters
    - prompt (required): The text description of the image you want to generate. Should be URL-encoded.
    - model (optional): The model to use for generation. Options: 'flux' or 'turbo'. Default: 'turbo'
    - seed (optional): Seed for reproducible results. Default: random
    - width (optional): Width of the generated image. Default: 1024
    - height (optional): Height of the generated image. Default: 1024
    - nologo (optional): Set to 'true' to turn off the rendering of the logo
    - nofeed (optional): Set to 'true' to prevent the image from appearing in the public feed
    - enhance (optional): Set to 'true' or 'false' to turn on or off prompt enhancing (passes prompts through an LLM to add detail)

    ## Example Usage
    https://image.pollinations.ai/prompt/A%20beautiful%20sunset%20over%20the%20ocean?model=flux&width=1280&height=720&seed=42&nologo=true&enhance=true

    ## Response
    The API returns a raw image file (typically JPEG or PNG) as the response body.
    """