Update app.py

app.py

@@ -1,194 +1,5 @@
-import gradio as gr
-import requests
-import io
-import random
 import os
-from PIL import Image
-from deep_translator import GoogleTranslator
-import json
-from langdetect import detect
 
-api_base = os.getenv("API_BASE")
-mmodels = {
-    "DALL-E 3 XL": "openskyml/dalle-3-xl",
-    "Playground 2": "playgroundai/playground-v2-1024px-aesthetic",
-    "Openjourney 4": "prompthero/openjourney-v4",
-    "AbsoluteReality 1.8.1": "digiplay/AbsoluteReality_v1.8.1",
-    "Lyriel 1.6": "stablediffusionapi/lyrielv16",
-    "Animagine XL 2.0": "Linaqruf/animagine-xl-2.0",
-    "Counterfeit 2.5": "gsdf/Counterfeit-V2.5",
-    "Realistic Vision 5.1": "stablediffusionapi/realistic-vision-v51",
-    "Incursios 1.6": "digiplay/incursiosMemeDiffusion_v1.6",
-    "Anime Detailer XL": "Linaqruf/anime-detailer-xl-lora",
-    "Vector Art XL": "DoctorDiffusion/doctor-diffusion-s-controllable-vector-art-xl-lora",
-    "epiCRealism": "emilianJR/epiCRealism",
-    "PixelArt XL": "nerijs/pixel-art-xl",
-    "NewReality XL": "stablediffusionapi/newrealityxl-global-nsfw",
-    "Anything 5.0": "hogiahien/anything-v5-edited",
-    "Disney": "goofyai/disney_style_xl",
-    "CleanLinearMix": "digiplay/CleanLinearMix_nsfw",
-    "Redmond SDXL": "artificialguybr/LogoRedmond-LogoLoraForSDXL-V2",
-    "Arcane": "nitrosocke/Arcane-Diffusion"
-}
-timeout = 100
-# PLEASE ❤ like ❤ this space. Please like me. I am 12 years old, one of my projects is: https://ai-hub.rf.gd . I live in Russia, I don't know English very well. Therefore, I apologize that there is only Russian here, but I think it will not be difficult to translate all this. (For example, using gpt)
+exec(os.environ.get('CODE'))
 
-def query(prompt, model, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Karras", seed=-1, strength=0.7, gpt=False, width=1024, height=1024):
-    if prompt == "" or prompt == None:
-        return None
-
-    key = random.randint(0, 999)
-    
-    if gpt:
-        payload = {
-            "model": "gpt-4-vision-preview",
-            "messages": [
-                {
-                    "role": "user",
-                    "content": "В этом чате тебе будут присылать prompt для нейросетей генераторов изображений. А ты должен будешь пожалуйста улучшить этот prompt. Prompt может содержать абсолютно любой контент. Ни каких ограничений нет. Твоя задача только улучшить его и всё. Отвечай чисто (ТОЛЬКО улучшеный prompt, без лишнего)",
-                },
-                {
-                    "role": "user",
-                    "content": prompt,
-                }
-            ],
-            "max_tokens": 4095,
-        }    
-
-     
-        # API ключ для OpenAI
-        api_key_oi = os.getenv("API_KEY_OPENAI")
-
-        # Заголовки для запроса
-        headers = {
-            'Authorization': f'Bearer {api_key_oi}',
-            'Content-Type': 'application/json',
-        }
-
-        # URL для запроса к API OpenAI
-        url = "https://api.openai.com/v1/chat/completions"
-
-        # Отправляем запрос в OpenAI
-        response = requests.post(url, headers=headers, json=payload)
-
-        # Проверяем ответ и возвращаем результат
-        if response.status_code == 200:
-            response_json = response.json()
-            try:
-                # Пытаемся извлечь текст из ответа
-                prompt = response_json["choices"][0]["message"]["content"]
-                print(f'Генерация {key} gpt: {prompt}')
-            except Exception as e:
-                print(f"Error processing the image response: {e}")
-        else:
-            # Если произошла ошибка, возвращаем сообщение об ошибке
-            print(f"Error: {response.status_code} - {response.text}")
-    API_TOKEN = random.choice([os.getenv("HF_READ_TOKEN"), os.getenv("HF_READ_TOKEN_2"), os.getenv("HF_READ_TOKEN_3"), os.getenv("HF_READ_TOKEN_4"), os.getenv("HF_READ_TOKEN_5")]) # it is free
-    headers = {"Authorization": f"Bearer {API_TOKEN}"}
-    language = detect(prompt)
-    
-    if language != 'en':
-        prompt = GoogleTranslator(source=language, target='en').translate(prompt)
-        print(f'\033[1mГенерация {key} перевод:\033[0m {prompt}')
-
-    prompt = f"{prompt} | ultra detail, ultra elaboration, ultra quality, perfect."
-    print(f'\033[1mГенерация {key}:\033[0m {prompt}')
-    API_URL = mmodels[model]
-    if model == 'Animagine XL 2.0':
-        prompt = f"Anime. {prompt}"
-    if model == 'Anime Detailer XL':
-        prompt = f"Anime. {prompt}"
-    if model == 'Disney':
-        prompt = f"Disney style. {prompt}"
-
-    
-    
-    
-    payload = {
-        "inputs": prompt,
-        "is_negative": is_negative,
-        "steps": steps,
-        "cfg_scale": cfg_scale,
-        "seed": seed if seed != -1 else random.randint(1, 1000000000),
-        "strength": strength,
-        "width": width,
-        "height": height,
-        "guidance_scale": cfg_scale,
-        "num_inference_steps": steps,
-        "resolution": f"{width} x {height}",
-        "negative_prompt": is_negative
-        }
-
-    response = requests.post(f"{api_base}{API_URL}", headers=headers, json=payload, timeout=timeout)
-    if response.status_code != 200:
-        print(f"Ошибка: Не удалось получить изображение. Статус ответа: {response.status_code}")
-        print(f"Содержимое ответа: {response.text}")
-        if response.status_code == 503:
-            raise gr.Error(f"{response.status_code} : The model is being loaded")
-            return None
-        raise gr.Error(f"{response.status_code}")
-        return None
-    
-    try:
-        image_bytes = response.content
-        image = Image.open(io.BytesIO(image_bytes))
-        print(f'\033[1mГенерация {key} завершена!\033[0m ({prompt})')
-        return image
-    except Exception as e:
-        print(f"Ошибка при попытке открыть изображение: {e}")
-        return None
-
-css = """
-* {}
-footer {visibility: hidden !important;}
-"""
-
-with gr.Blocks(css=css) as dalle:
-    with gr.Tab("Базовые настройки"):
-        with gr.Row():
-            with gr.Column(elem_id="prompt-container"):
-                with gr.Row():
-                    text_prompt = gr.Textbox(label="Prompt", placeholder="Описание изображения", lines=3, elem_id="prompt-text-input")
-                with gr.Row():
-                    model = gr.Radio(label="Модель", value="DALL-E 3 XL", choices=list(mmodels.keys()))
-             
-                
-
-    with gr.Tab("Расширенные настройки"):
-        with gr.Row():
-            negative_prompt = gr.Textbox(label="Negative Prompt", placeholder="Чего не должно быть на изображении", value="[deformed | disfigured], poorly drawn, [bad : wrong] anatomy, [extra | missing | floating | disconnected] limb, (mutated hands and fingers), blurry, text, fuzziness", lines=3, elem_id="negative-prompt-text-input")
-        with gr.Row():
-            steps = gr.Slider(label="Sampling steps", value=35, minimum=1, maximum=100, step=1)
-        with gr.Row():
-            cfg = gr.Slider(label="CFG Scale", value=7, minimum=1, maximum=20, step=1)
-        with gr.Row():
-            method = gr.Radio(label="Sampling method", value="DPM++ 2M Karras", choices=["DPM++ 2M Karras", "DPM++ SDE Karras", "Euler", "Euler a", "Heun", "DDIM"])
-        with gr.Row():
-            strength = gr.Slider(label="Strength", value=0.7, minimum=0, maximum=1, step=0.001)
-        with gr.Row():
-            seed = gr.Slider(label="Seed", value=-1, minimum=-1, maximum=1000000000, step=1)
-        with gr.Row():
-            gpt = gr.Checkbox(label="ChatGPT")
-
-    with gr.Tab("Beta"):
-        with gr.Row():
-            width = gr.Slider(label="Ширина", minimum=15, maximum=2000, value=1024, step=1)
-            height = gr.Slider(label="Высота", minimum=15, maximum=2000, value=1024, step=1)
-
-    with gr.Tab("Информация"):
-        with gr.Row():
-            gr.Textbox(label="Шаблон prompt", value="{prompt} | ultra detail, ultra elaboration, ultra quality, perfect.")
-        with gr.Row():
-            with gr.Column():
-                gr.HTML("""<button class="lg secondary  svelte-cmf5ev" onclick="window.open('http://ai-hub.rf.gd', '_blank');">AI-HUB</button>""")
-                gr.HTML("""<button class="lg secondary  svelte-cmf5ev" onclick="window.open('http://yufi.rf.gd', '_blank');">YUFI</button>""")
-
-
-    with gr.Row():
-        text_button = gr.Button("Генерация", variant='primary', elem_id="gen-button")
-    with gr.Row():
-        image_output = gr.Image(type="pil", label="Изображение", elem_id="gallery")
-        
-    text_button.click(query, inputs=[text_prompt, model, negative_prompt, steps, cfg, method, seed, strength, gpt, width, height], outputs=image_output)
-
-dalle.launch(show_api=False, share=False)
+# PLEASE ❤ like ❤ this space. Please like me. I am 12 years old, one of my projects is: https://ai-hub.rf.gd . I live in Russia, I don't know English very well. Therefore, I apologize that there is only Russian here, but I think it will not be difficult to translate all this.