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Kgshop commited on Jun 22, 2025

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1 Parent(s): 7ebd7e9

Update app.py

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@@ -1,373 +1,296 @@
-# --- START OF FILE app (1) (9).py (MODIFIED) ---
 import os
 import uuid
-from flask import Flask, request, jsonify, Response, send_from_directory
-import google.generativeai as genai
 import logging
 import threading
 import time
 from datetime import datetime
 from huggingface_hub import HfApi, hf_hub_download
 from huggingface_hub.utils import RepositoryNotFoundError, HfHubHTTPError
 import requests
-import json # Added for load_app_data/save_app_data in generated app
-# Configure logging for the main generator app
-logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
-app = Flask(__name__)
-# INTERNAL API KEY FOR THE GENERATOR ITSELF (FOR GOOGLE GEMINI)
-API_KEY_INTERNAL = "AIzaSyArKidc4o0MwbaCFKStlb2q2AwNg6Pnqns"
-# DIRECTORY FOR STORING GENERATED PYTHON FLASK APPLICATIONS
-GENERATED_APPS_DIR = 'generated_apps'
-# REPOSITORY ID FOR DATA SYNCHRONIZATION OF THE *GENERATED* FLASK APPS
-GENERATED_APP_REPO_ID = "Kgshop/testsynk"
-if not os.path.exists(GENERATED_APPS_DIR):
-    os.makedirs(GENERATED_APPS_DIR)
-# HTML TEMPLATE FOR THE GENERATOR'S FRONTEND
-html_template = """
-<!DOCTYPE html>
-<html lang="ru">
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0, viewport-fit=cover">
-    <title>EVA - Генератор Сайтов</title>
-    <style>
-        :root {
-            --system-gray-100-light: #f2f2f7;
-            --system-gray-75-light: #f8f8fa;
-            --system-gray-50-light: #ffffff;
-            --system-gray-dark-100-light: #000000;
-            --system-gray-dark-75-light: #1c1c1e;
-            --system-gray-dark-50-light: #3a3a3c;
-            --system-gray-light-75-light: #8e8e93;
-            --system-gray-light-50-light: #aeaeb2;
-            --system-blue-light: #007aff;
-            --system-blue-light-hover: #005ecf;
-            --system-red-light: #ff3b30;
-            --system-separator-light: rgba(60, 60, 67, 0.29);
-            --system-separator-opaque-light: #d1d1d6;
-            --system-gray-100-dark: #1c1c1e;
-            --system-gray-75-dark: #2c2c2e;
-            --system-gray-50-dark: #000000;
-            --system-gray-dark-100-dark: #ffffff;
-            --system-gray-dark-75-dark: #f2f2f7;
-            --system-gray-dark-50-dark: #e5e5ea;
-            --system-gray-light-75-dark: #8e8e93;
-            --system-gray-light-50-dark: #636366;
-            --system-blue-dark: #0a84ff;
-            --system-blue-dark-hover: #3b9eff;
-            --system-red-dark: #ff453a;
-            --system-separator-dark: rgba(84, 84, 88, 0.65);
-            --system-separator-opaque-dark: #38383a;
-        }
-        @media (prefers-color-scheme: dark) {
-            :root {
-                --bg-color: var(--system-gray-50-dark);
-                --content-bg: var(--system-gray-100-dark);
-                --text-color: var(--system-gray-dark-100-dark);
-                --secondary-text-color: var(--system-gray-light-75-dark);
-                --tertiary-text-color: var(--system-gray-light-50-dark);
-                --border-color: var(--system-separator-dark);
-                --border-color-opaque: var(--system-separator-opaque-dark);
-                --input-bg: var(--system-gray-75-dark);
-                --primary-color: var(--system-blue-dark);
-                --primary-color-hover: var(--system-blue-dark-hover);
-                --error-color: var(--system-red-dark);
-            }
-        }
-        @media (prefers-color-scheme: light) {
-            :root {
-                --bg-color: var(--system-gray-100-light);
-                --content-bg: var(--system-gray-50-light);
-                --text-color: var(--system-gray-dark-100-light);
-                --secondary-text-color: var(--system-gray-light-75-light);
-                --tertiary-text-color: var(--system-gray-light-50-light);
-                --border-color: var(--system-separator-light);
-                 --border-color-opaque: var(--system-separator-opaque-light);
-                --input-bg: var(--system-gray-75-light);
-                --primary-color: var(--system-blue-light);
-                --primary-color-hover: var(--system-blue-light-hover);
-                --error-color: var(--system-red-light);
-            }
-        }
-        html {
-             height: -webkit-fill-available;
-        }
-        body {
-            font-family: -apple-system, BlinkMacSystemFont, "SF Pro Text", "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif;
-            margin: 0;
-            padding: 20px env(safe-area-inset-top) 20px env(safe-area-inset-bottom);
-            background-color: var(--bg-color);
-            color: var(--text-color);
-            display: flex;
-            justify-content: center;
-            align-items: flex-start;
-            min-height: 100vh;
-            min-height: -webkit-fill-available;
-            line-height: 1.45;
-            -webkit-font-smoothing: antialiased;
-            -moz-osx-font-smoothing: grayscale;
-        }
-        .container {
-            background-color: var(--content-bg);
-            padding: 25px 30px 30px 30px;
-            border-radius: 24px;
-            box-shadow: 0 12px 28px rgba(0, 0, 0, 0.08), 0 2px 4px rgba(0,0,0,0.05);
-            max-width: 580px;
-            width: calc(100% - 40px);
-            box-sizing: border-box;
-            margin-top: 30px;
-        }
-        h1 {
-            font-size: 32px;
-            font-weight: 700;
-            text-align: center;
-            margin-bottom: 8px;
-            color: var(--text-color);
-            letter-spacing: -0.5px;
-        }
-        p.subtitle {
-            font-size: 17px;
-            color: var(--secondary-text-color);
-            text-align: center;
-            margin-bottom: 35px;
-            font-weight: 400;
-        }
-        .form-group {
-            margin-bottom: 28px;
-        }
-        label.input-label {
-            display: block;
-            font-weight: 500;
-            margin-bottom: 10px;
-            font-size: 15px;
-            color: var(--secondary-text-color);
-            padding-left: 5px;
-        }
-        textarea#prompt-input {
-            width: 100%;
-            padding: 14px 18px;
-            border: 1px solid var(--border-color-opaque);
-            border-radius: 12px;
-            font-size: 16px;
-            background-color: var(--input-bg);
-            color: var(--text-color);
-            box-sizing: border-box;
-            transition: border-color 0.2s ease, box-shadow 0.2s ease;
-            font-family: inherit;
-            resize: vertical;
-            min-height: 120px;
-        }
-        textarea#prompt-input:focus {
-             border-color: var(--primary-color);
-             box-shadow: 0 0 0 3px color-mix(in srgb, var(--primary-color) 25%, transparent);
-             outline: none;
-        }
-        button#generate-button {
-            width: 100%;
-            padding: 16px;
-            background-color: var(--primary-color);
-            color: white;
-            border: none;
-            border-radius: 12px;
-            font-size: 17px;
-            font-weight: 600;
-            cursor: pointer;
-            transition: background-color 0.2s ease, transform 0.1s ease;
-            margin-top: 15px;
-        }
-        button#generate-button:hover {
-            background-color: var(--primary-color-hover);
-        }
-        button#generate-button:active {
-            transform: scale(0.98);
-        }
-        button#generate-button:disabled {
-            background-color: var(--tertiary-text-color);
-            cursor: not-allowed;
-        }
-        .output-section {
-            margin-top: 35px;
-        }
-        .output-header {
-             display: flex;
-             justify-content: space-between;
-             align-items: center;
-             margin-bottom: 10px;
-        }
-        label#output-label {
-            font-weight: 500;
-            font-size: 15px;
-            color: var(--secondary-text-color);
-            padding-left: 5px;
-        }
-        button#copy-button {
-            background-color: transparent;
-            border: none;
-            color: var(--primary-color);
-            font-size: 14px;
-            font-weight: 500;
-            cursor: pointer;
-            padding: 5px 8px;
-            border-radius: 6px;
-            transition: background-color 0.2s ease, color 0.2s ease;
-            display: none;
-        }
-        button#copy-button:hover {
-            background-color: color-mix(in srgb, var(--primary-color) 15%, transparent);
-        }
-        button#copy-button:active {
-            background-color: color-mix(in srgb, var(--primary-color) 25%, transparent);
-        }
-        button#copy-button.copied {
-             color: #34c759;
-        }
-        @media (prefers-color-scheme: dark) {
-             button#copy-button.copied {
-                 color: #30d158;
-             }
-        }
-        #output-container {
-            background-color: var(--input-bg);
-            padding: 18px 20px;
-            border-radius: 12px;
-            min-height: 60px;
-            border: 1px solid var(--border-color);
-            word-wrap: break-word;
-            font-size: 15px;
-            color: var(--text-color);
-            line-height: 1.5;
-            transition: border-color 0.2s ease, background-color 0.2s ease;
-            display: flex;
-            align-items: center;
-            justify-content: center;
-        }
-        #output-container a {
-            color: var(--primary-color);
-            text-decoration: none;
-            font-weight: 500;
-        }
-        #output-container a:hover {
-            text-decoration: underline;
-        }
-        #output-container.loading::before {
-            content: "Генерация Python приложения...";
-            display: block;
-            text-align: center;
-            font-style: italic;
-            color: var(--secondary-text-color);
-            animation: fadePulse 1.8s infinite ease-in-out;
-        }
-        #output-container.error {
-            color: var(--error-color);
-            font-weight: 500;
-            border-color: color-mix(in srgb, var(--error-color) 50%, transparent);
-            background-color: color-mix(in srgb, var(--error-color) 10%, var(--input-bg));
-            justify-content: flex-start;
-        }
-        @keyframes fadePulse {
-            0%, 100% { opacity: 0.6; }
-            50% { opacity: 1; }
-        }
-        @media (max-width: 620px) {
-            body {
-                padding: 15px env(safe-area-inset-top) 15px env(safe-area-inset-bottom);
-                align-items: flex-start;
-            }
-            .container {
-                padding: 20px 20px 25px 20px;
-                margin-top: 15px;
-                border-radius: 20px;
-                width: calc(100% - 30px);
-            }
-            h1 {
-                font-size: 28px;
-            }
-             p.subtitle {
-                font-size: 16px;
-                margin-bottom: 25px;
-            }
-            .form-group {
-                margin-bottom: 22px;
-            }
-             textarea#prompt-input {
-                padding: 12px 15px;
-                min-height: 100px;
-             }
-            button#generate-button {
-                 padding: 15px;
-                 font-size: 16px;
-            }
-             #output-container {
-                 padding: 15px 18px;
-                 font-size: 14px;
-                 min-height: 50px;
-             }
-             .output-section {
-                 margin-top: 30px;
-             }
-        }
     </style>
 </head>
 <body>
     <div class="container">
         <h1>EVA</h1>
-        <p class="subtitle">Генератор Python приложений на базе ИИ</p>
         <form id="generate-form">
             <div class="form-group">
-                <label for="prompt-input" class="input-label">Опишите Python Flask приложение, которое вы хотите создать</label>
-                <textarea id="prompt-input" name="prompt" rows="6" required placeholder="Например: создай простое Flask-приложение для управления списком задач. Главная страница должна отображать задачи, страница /add - форму для добавления, /delete/<id> - для удаления. Используй JSON-файл как базу данных и функции load_app_data/save_app_data для работы с ним."></textarea>
             </div>
-            <button type="submit" id="generate-button">Создать приложение</button>
         </form>
         <div class="output-section">
              <div class="output-header">
-                 <label id="output-label">Ссылка на приложение</label>
                  <button id="copy-button">Копировать</button>
              </div>
-            <div id="output-container" aria-live="polite">
-            </div>
         </div>
     </div>
@@ -380,401 +303,88 @@ html_template = """
         form.addEventListener('submit', async (event) => {
             event.preventDefault();
-            if (!promptInput.value.trim()) {
-                showError("Пожалуйста, опишите приложение, которое вы хотите создать.");
-                return;
-            }
-            const formData = new FormData(form);
             generateButton.disabled = true;
             generateButton.textContent = 'Генерация...';
             outputContainer.innerHTML = '';
             outputContainer.classList.add('loading');
             outputContainer.classList.remove('error');
             copyButton.style.display = 'none';
-            copyButton.textContent = 'Копировать';
-            copyButton.classList.remove('copied');
             try {
                 const response = await fetch('/generate', {
                     method: 'POST',
-                    body: formData
                 });
                 const result = await response.json();
                 if (!response.ok) {
                     throw new Error(result.error || `Ошибка сервера: ${response.status}`);
                 }
                 if (result.download_url) {
                     const link = document.createElement('a');
                     link.href = result.download_url;
-                    link.textContent = "Скачать сгенерированное приложение (.py)";
-                    link.target = "_blank";
                     outputContainer.innerHTML = '';
                     outputContainer.appendChild(link);
                     copyButton.style.display = 'block';
                     copyButton.dataset.copyText = window.location.origin + result.download_url;
-                } else if (result.error) {
-                    showError(result.error);
                 } else {
-                    showError("Не удалось получить ссылку на приложение. Ответ сервера не содержит URL.");
                 }
             } catch (error) {
                 console.error("Fetch Error:", error);
                 showError(`Ошибка: ${error.message}`);
-                copyButton.style.display = 'none';
             } finally {
                 generateButton.disabled = false;
-                generateButton.textContent = 'Создать приложение';
                 outputContainer.classList.remove('loading');
             }
         });
         copyButton.addEventListener('click', () => {
             const textToCopy = copyButton.dataset.copyText;
             if (!textToCopy) return;
             navigator.clipboard.writeText(textToCopy).then(() => {
                 copyButton.textContent = 'Скопировано!';
                 copyButton.classList.add('copied');
-                setTimeout(() => {
-                     copyButton.textContent = 'Копировать';
-                     copyButton.classList.remove('copied');
-                }, 1500);
-            }).catch(err => {
-                console.error('Ошибка копирования: ', err);
-                copyButton.textContent = 'Ошибка';
-                 setTimeout(() => {
-                     copyButton.textContent = 'Копировать';
-                }, 1500);
-            });
         });
         function showError(message) {
-             outputContainer.innerHTML = '';
-             const errorMessageElement = document.createElement('span');
-             errorMessageElement.textContent = message;
-             outputContainer.appendChild(errorMessageElement);
              outputContainer.classList.add('error');
              outputContainer.classList.remove('loading');
              copyButton.style.display = 'none';
         }
     </script>
 </body>
 </html>
 """
-# INJECTED HUGGING FACE SYNC CODE FOR THE *GENERATED* FLASK APPLICATIONS
-_GENERATED_APP_HF_SYNC_SNIPPET = """
-# --- Hugging Face Sync System for this Generated App ---
-import json
-import os
-import logging
-import threading
-import time
-from datetime import datetime
-from huggingface_hub import HfApi, hf_hub_download
-from huggingface_hub.utils import RepositoryNotFoundError, HfHubHTTPError
-from dotenv import load_dotenv
-import requests
-# Load environment variables for this generated app instance
-load_dotenv()
-APP_REPO_ID = "{generated_app_repo_id}"
-APP_DATA_FILE = 'app_data.json' # Data file specific to this generated app
-APP_HF_TOKEN_WRITE = os.getenv("HF_TOKEN") # Expect HF_TOKEN to be set in environment for this app
-APP_HF_TOKEN_READ = os.getenv("HF_TOKEN_READ") # Or use APP_HF_TOKEN_WRITE if READ isn't set
-APP_DOWNLOAD_RETRIES = 3
-APP_DOWNLOAD_DELAY = 5
-# Configure logging for the generated app
-app_logger = logging.getLogger(__name__)
-app_logger.setLevel(logging.INFO)
-# Prevent adding multiple handlers if this code is reloaded/executed multiple times (e.g. in dev)
-if not app_logger.handlers:
-    handler = logging.StreamHandler()
-    formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
-    handler.setFormatter(formatter)
-    app_logger.addHandler(handler)
-def _app_download_db_from_hf(specific_file=None, retries=APP_DOWNLOAD_RETRIES, delay=APP_DOWNLOAD_DELAY):
-    # Ensure tokens are available
-    token_to_use = APP_HF_TOKEN_READ if APP_HF_TOKEN_READ else APP_HF_TOKEN_WRITE
-    if not token_to_use:
-        app_logger.warning("HF_TOKEN_READ/HF_TOKEN not set for generated app. Download might fail for private repos.")
-    files_to_download = [specific_file] if specific_file else [APP_DATA_FILE]
-    app_logger.info(f"Generated app: Attempting download for {files_to_download} from {{APP_REPO_ID}}...")
-    all_successful = True
-    for file_name in files_to_download:
-        success = False
-        for attempt in range(retries + 1):
-            try:
-                app_logger.info(f"Generated app: Downloading {{file_name}} (Attempt {{attempt + 1}}/{{retries + 1}})...")
-                local_path = hf_hub_download(
-                    repo_id=APP_REPO_ID,
-                    filename=file_name,
-                    repo_type="dataset",
-                    token=token_to_use,
-                    local_dir=".",
-                    local_dir_use_symlinks=False,
-                    force_download=True,
-                    resume_download=False
-                )
-                app_logger.info(f"Generated app: Successfully downloaded {{file_name}} to {{local_path}}.")
-                success = True
-                break
-            except RepositoryNotFoundError:
-                 app_logger.error(f"Generated app: Repository {{APP_REPO_ID}} not found. Download cancelled for all files.")
-                 return False
-            except HfHubHTTPError as e:
-                if e.response.status_code == 404:
-                    app_logger.warning(f"Generated app: File {{file_name}} not found in repo {{APP_REPO_ID}} (404). Skipping this file.")
-                    if attempt == 0 and not os.path.exists(file_name):
-                        try:
-                            # Create an empty default JSON file if it's the data file and not found on HF
-                            if file_name == APP_DATA_FILE:
-                                with open(file_name, 'w', encoding='utf-8') as f:
-                                    json.dump({{}}, f) # Empty dictionary as default for app data
-                                app_logger.info(f"Generated app: Created empty local file {{file_name}} because it was not found on HF.")
-                        except Exception as create_e:
-                            app_logger.error(f"Generated app: Failed to create empty local file {{file_name}}: {{create_e}}")
-                    success = False
-                    break # Don't retry 404s for the specific file
-                else:
-                    app_logger.error(f"Generated app: HTTP error downloading {{file_name}} (Attempt {{attempt + 1}}): {{e}}. Retrying in {{delay}}s...")
-            except requests.exceptions.RequestException as e:
-                 app_logger.error(f"Generated app: Network error downloading {{file_name}} (Attempt {{attempt + 1}}): {{e}}. Retrying in {{delay}}s...")
-            except Exception as e:
-                 app_logger.error(f"Generated app: Unexpected error downloading {{file_name}} (Attempt {{attempt + 1}}): {{e}}. Retrying in {{delay}}s...", exc_info=True)
-            if attempt < retries:
-                time.sleep(delay)
-        if not success:
-            app_logger.error(f"Generated app: Failed to download {{file_name}} after {{retries + 1}} attempts.")
-            all_successful = False
-    app_logger.info(f"Generated app: Download process finished. Overall success: {{all_successful}}")
-    return all_successful
-def _app_upload_db_to_hf(specific_file=None):
-    if not APP_HF_TOKEN_WRITE:
-        app_logger.warning("Generated app: HF_TOKEN (for writing) not set. Skipping upload to Hugging Face.")
-        return
-    try:
-        api = HfApi()
-        files_to_upload = [specific_file] if specific_file else [APP_DATA_FILE]
-        app_logger.info(f"Generated app: Starting upload of {{files_to_upload}} to HF repo {{APP_REPO_ID}}...")
-        for file_name in files_to_upload:
-            if os.path.exists(file_name):
-                try:
-                    api.upload_file(
-                        path_or_fileobj=file_name,
-                        path_in_repo=file_name,
-                        repo_id=APP_REPO_ID,
-                        repo_type="dataset",
-                        token=APP_HF_TOKEN_WRITE,
-                        commit_message=f"Sync {{file_name}} from generated app {{datetime.now().strftime('%Y-%m-%d %H:%M:%S')}}"
-                    )
-                    app_logger.info(f"Generated app: File {{file_name}} successfully uploaded to Hugging Face.")
-                except Exception as e:
-                     app_logger.error(f"Generated app: Error uploading file {{file_name}} to Hugging Face: {{e}}")
-            else:
-                app_logger.warning(f"Generated app: File {{file_name}} not found locally, skipping upload.")
-        app_logger.info("Generated app: Finished uploading files to HF.")
-    except Exception as e:
-        app_logger.error(f"Generated app: General error during Hugging Face upload initialization or process: {{e}}", exc_info=True)
-def load_app_data():
-    default_data = {{}} # AI will assume this is an empty dictionary to start with
-    try:
-        with open(APP_DATA_FILE, 'r', encoding='utf-8') as file:
-            data = json.load(file)
-        app_logger.info(f"Generated app: Local app data loaded successfully from {{APP_DATA_FILE}}")
-        if not isinstance(data, dict):
-            app_logger.warning(f"Generated app: Local {{APP_DATA_FILE}} is not a dictionary. Using default empty data.")
-            return default_data
-        return data
-    except (FileNotFoundError, json.JSONDecodeError):
-        app_logger.warning(f"Generated app: Local file {{APP_DATA_FILE}} not found or corrupted. Using default empty data.")
-        # If file not found or corrupted, create an empty one locally
-        try:
-            with open(APP_DATA_FILE, 'w', encoding='utf-8') as f:
-                json.dump(default_data, f)
-            app_logger.info(f"Generated app: Created empty local file {{APP_DATA_FILE}} for corrupted/missing file.")
-        except Exception as create_e:
-            app_logger.error(f"Generated app: Failed to create empty local file {{APP_DATA_FILE}}: {{create_e}}")
-        return default_data
-def save_app_data(data):
-    try:
-        if not isinstance(data, dict):
-            app_logger.error("Generated app: Attempted to save invalid data structure (not a dict). Aborting save.")
-            return
-        with open(APP_DATA_FILE, 'w', encoding='utf-8') as file:
-            json.dump(data, file, ensure_ascii=False, indent=4)
-        app_logger.info(f"Generated app: App data successfully saved to {{APP_DATA_FILE}}")
-        _app_upload_db_to_hf(specific_file=APP_DATA_FILE)
-    except Exception as e:
-        app_logger.error(f"Generated app: Error saving app data to {{APP_DATA_FILE}}: {{e}}", exc_info=True)
-def app_periodic_backup():
-    backup_interval = 1800 # 30 minutes
-    app_logger.info(f"Generated app: Setting up periodic backup every {{backup_interval}} seconds.")
-    while True:
-        time.sleep(backup_interval)
-        app_logger.info("Generated app: Starting periodic backup...")
-        _app_upload_db_to_hf(specific_file=APP_DATA_FILE)
-        app_logger.info("Generated app: Periodic backup finished.")
-# --- END Hugging Face Sync System ---
-""".format(generated_app_repo_id=GENERATED_APP_REPO_ID)
-def generate_flask_app_code(user_prompt):
-    try:
-        genai.configure(api_key=API_KEY_INTERNAL)
-    except Exception as e:
-        logging.error(f"Error configuring GenAI: {e}")
-        raise ValueError(f"Не удалось настроить Google AI. Проблема с конфигурацией. Ошибка: {e}")
-    if not user_prompt or not user_prompt.strip():
-        raise ValueError("Текстовый запрос (промпт) не может быть пустым.")
-    system_instruction = (
-        "You are an expert Python Flask developer. Your task is to generate the core logic "
-        "for a single-file Python Flask application based on the user's request. "
-        "The application should strictly adhere to the following:\n"
-        "1.  Define a Flask application instance: `app = Flask(__name__)`.\n"
-        "2.  Implement basic routes (e.g., `/`, `/add`, `/delete/<id>`) as needed by the user's request.\n"
-        "3.  Manage all application data using two provided functions: `load_app_data()` to read data "
-        "    from `app_data.json`, and `save_app_data(data)` to write data back to `app_data.json`. "
-        "    Assume `load_app_data()` returns an empty dictionary `{}` if the file is new or empty. "
-        "    Your code should define the structure of this dictionary (e.g., `{'items': []}`).\n"
-        "4.  All HTML, CSS, and JavaScript must be embedded directly within Python strings "
-        "    and rendered using `render_template_string()`. Do NOT use `render_template()` with external files, "
-        "    or external CSS/JS links. All visual styles should be in `<style>` tags, all scripts in `<script>` tags.\n"
-        "5.  Ensure any generated HTML is fully self-contained and visually presentable.\n"
-        "6.  Return ONLY the Python code for the Flask application logic. Do NOT include Flask imports, "
-        "    `load_dotenv()`, the `app = Flask(__name__)` line itself, any Hugging Face sync functions, "
-        "    or the `if __name__ == '__main__':` block. These will be added externally. "
-        "    Start your output directly with the first route definition (`@app.route(...)`) or "
-        "    any helper functions, and end just before where `if __name__ == '__main__':` would begin.\n"
-        "7.  Focus on clean, functional Python code that directly implements the user's request "
-        "    using the `load_app_data()` and `save_app_data()` functions.\n"
-        "8.  Include basic error handling and user feedback (e.g., using a simple HTML message)."
-    )
-    full_prompt = f"{system_instruction}\n\nUser request: \"{user_prompt}\""
-    response = None
-    ai_generated_core_logic = ""
-    try:
-        model = genai.GenerativeModel('learnlm-2.0-flash-experimental')
-        response = model.generate_content(full_prompt)
-        if hasattr(response, 'text') and response.text:
-            ai_generated_core_logic = response.text
-        elif response.parts:
-            ai_generated_core_logic = "".join(part.text for part in response.parts if hasattr(part, 'text'))
-        # Attempt to clean up markdown if present
-        clean_text = ai_generated_core_logic.strip()
-        if clean_text.startswith("```python"):
-            clean_text = clean_text[len("```python"):].strip()
-        if clean_text.endswith("```"):
-            clean_text = clean_text[:-len("```")].strip()
-        ai_generated_core_logic = clean_text
-        if not ai_generated_core_logic.strip():
-             if hasattr(response, 'prompt_feedback') and response.prompt_feedback.block_reason:
-                 reason = response.prompt_feedback.block_reason
-                 raise ValueError(f"Генерация контента заблокирована из-за политики безопасности (причина: {reason}). Попробуйте другой запрос.")
-             else:
-                raise ValueError("Модель вернула пустой результат для кода приложения. Попробуйте изменить запрос.")
-        # Assemble the full Python Flask application code
-        full_app_code = (
-            "from flask import Flask, request, jsonify, render_template_string, redirect, url_for\n"
-            "import os\n"
-            "import json\n" # Ensure json is imported for generated app data handling
-            "# Required for .env loading\n"
-            "from dotenv import load_dotenv\n"
-            "# Required for background sync\n"
-            "import threading\n"
-            "import time\n"
-            "# Required for Hugging Face integration\n"
-            "from huggingface_hub import HfApi, hf_hub_download\n"
-            "from huggingface_hub.utils import RepositoryNotFoundError, HfHubHTTPError\n"
-            "import requests\n\n"
-            + _GENERATED_APP_HF_SYNC_SNIPPET + "\n\n" # Injected HF sync functions
-            "app = Flask(__name__)\n\n" # Flask app instance
-            + ai_generated_core_logic + "\n\n" # AI-generated core logic
-            "if __name__ == '__main__':\n"
-            "    # Initial download of data from Hugging Face for this app instance\n"
-            "    _app_download_db_from_hf(specific_file=APP_DATA_FILE)\n"
-            "    # Load data from the downloaded/local file\n"
-            "    # (load_app_data already handles creation of empty file if needed)\n"
-            "    load_app_data() \n"
-            "    \n"
-            "    # Start periodic backup if write token is available\n"
-            "    if APP_HF_TOKEN_WRITE:\n"
-            "        backup_thread = threading.Thread(target=app_periodic_backup, daemon=True)\n"
-            "        backup_thread.start()\n"
-            "        app_logger.info('Periodic backup thread started for this generated app.')\n"
-            "    else:\n"
-            "        app_logger.warning('Periodic backup will NOT run for this generated app (HF_TOKEN for writing not set).')\n"
-            "    app_logger.info(f'Generated app starting on port 5000.')\n"
-            "    app.run(debug=True, host='0.0.0.0', port=5000)\n" # Standard Flask debug port
-        )
-        return full_app_code
-    except Exception as e:
-        logging.error(f"Error generating content with GenAI: {e}", exc_info=True)
-        error_message = str(e)
-        if "API key not valid" in error_message:
-             raise ValueError("Внутренняя ошибка конфигурации API (неверный ключ Google AI).")
-        elif "Billing account not found" in error_message or "billing account" in error_message.lower():
-             raise ValueError("Проблема с биллингом аккаунта Google Cloud. Проверьте настройки оплаты.")
-        elif "Could not find model" in error_message:
-             raise ValueError(f"Модель 'learnlm-2.0-flash-experimental' не найдена или недоступна.")
-        elif "resource has been exhausted" in error_message.lower() or "quota" in error_message.lower():
-             raise ValueError("Квота запросов исчерпана. Попробуйте позже или проверьте лимиты Google AI.")
-        elif ("content has been blocked" in error_message.lower() or
-              (response and hasattr(response, 'prompt_feedback') and response.prompt_feedback.block_reason)):
-             reason = "неизвестна"
-             if response and hasattr(response, 'prompt_feedback') and response.prompt_feedback.block_reason:
-                 reason = response.prompt_feedback.block_reason.name
-             elif "safety settings" in error_message.lower():
-                 reason = "настройки безопасности"
-             raise ValueError(f"Генерация контента заблокирована (причина: {reason}). Попробуйте другой запрос.")
-        else:
-             raise ValueError(f"Ошибка при генерации Python-кода приложения: {e}")
 @app.route('/')
 def index():
     return Response(html_template, mimetype='text/html')
-@app.route('/generated_apps/<filename>')
-def serve_generated_app(filename):
-    """Serves the generated Python app file for download."""
-    return send_from_directory(GENERATED_APPS_DIR, filename, as_attachment=True)
 @app.route('/generate', methods=['POST'])
 def handle_generate():
@@ -782,39 +392,63 @@ def handle_generate():
         return jsonify({"error": "Текстовый запрос (промпт) не найден."}), 400
     user_prompt = request.form['prompt']
     if not user_prompt or not user_prompt.strip():
          return jsonify({"error": "Текстовый запрос не может быть пустым."}), 400
     try:
-        app_code = generate_flask_app_code(user_prompt)
-        if not app_code or not app_code.strip():
-            return jsonify({"error": "Сгенерированный Python-код приложения пуст."}), 500
-        filename = f"app_{uuid.uuid4().hex[:8]}.py" # Unique name for the generated app file
-        filepath = os.path.join(GENERATED_APPS_DIR, filename)
         with open(filepath, "w", encoding="utf-8") as f:
-            f.write(app_code)
-        download_url = f"/generated_apps/{filename}"
         return jsonify({"download_url": download_url})
     except ValueError as ve:
         return jsonify({"error": str(ve)}), 400
     except Exception as e:
-        logging.error(f"Unexpected error during app generation: {e}", exc_info=True)
-        return jsonify({"error": f"Внутренняя ошибка сервера при генерации приложения: {e}"}), 500
 if __name__ == '__main__':
-    # Initial setup for the main generator app (not the generated ones)
-    logging.info("Main generator application starting up.")
-    # No HF sync for the generator itself, as it doesn't store its own data on HF in this setup.
     port = int(os.environ.get('PORT', 7860))
-    logging.info(f"Starting main Flask app (generator) on host 0.0.0.0 and port {port}")
-    app.run(host='0.0.0.0', port=port, debug=False)
-# --- END OF FILE app (1) (9).py (MODIFIED) ---

 import os
 import uuid
+import json
 import logging
 import threading
 import time
 from datetime import datetime
+from flask import Flask, request, jsonify, Response, send_from_directory, flash
+import google.generativeai as genai
 from huggingface_hub import HfApi, hf_hub_download
 from huggingface_hub.utils import RepositoryNotFoundError, HfHubHTTPError
 import requests
+from dotenv import load_dotenv
+# --- 1. КОНФИГУРАЦИЯ И ИНИЦИАЛИЗАЦИЯ ---
+# Загружаем переменные окружения из файла .env
+load_dotenv()
+app = Flask(__name__)
+# Секретный ключ нужен для flash-сообщений (хотя мы их здесь не используем, это хорошая практика)
+app.secret_key = os.getenv("FLASK_SECRET_KEY", "a_very_secret_key_for_eva_generator")
+# --- Конфигурация Hugging Face (из Кода 2) ---
+# Укажите ваш репозиторий на Hugging Face
+REPO_ID = "Kgshop/testsynk"
+HF_TOKEN_WRITE = os.getenv("HF_TOKEN_WRITE") # Токен с правами на запись
+HF_TOKEN_READ = os.getenv("HF_TOKEN_READ", HF_TOKEN_WRITE) # Токен для чтения (можно использовать токен на запись)
+# --- Конфигурация Google AI ---
+# Ключ API теперь берется из переменных окружения
+GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
+# --- Настройки файловой системы ---
+# Директория для хранения сгенерированных Python-сайтов
+GENERATED_SITES_DIR = 'generated_sites'
+# Имя файла для нашей локальной "базы данных" с метаданными о сайтах
+DATA_FILE = 'generated_sites_db.json'
+# Список файлов для синхронизации с Hugging Face
+SYNC_FILES = [DATA_FILE]
+# Настройка логирования для отладки
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+# Создаем директорию для сайтов, если ее нет
+if not os.path.exists(GENERATED_SITES_DIR):
+    os.makedirs(GENERATED_SITES_DIR)
+# --- 2. СИСТЕМА СИНХРОНИЗАЦИИ С HUGGING FACE (из Кода 2) ---
+DOWNLOAD_RETRIES = 3
+DOWNLOAD_DELAY = 5
+def download_db_from_hf(specific_file=None, retries=DOWNLOAD_RETRIES, delay=DOWNLOAD_DELAY):
+    if not HF_TOKEN_READ:
+        logging.warning("HF_TOKEN_READ/WRITE not set. Download might fail for private repos.")
+    files_to_download = [specific_file] if specific_file else SYNC_FILES
+    logging.info(f"Attempting download for {files_to_download} from {REPO_ID}...")
+    all_successful = True
+    for file_name in files_to_download:
+        success = False
+        for attempt in range(retries + 1):
+            try:
+                logging.info(f"Downloading {file_name} (Attempt {attempt + 1}/{retries + 1})...")
+                hf_hub_download(
+                    repo_id=REPO_ID, filename=file_name, repo_type="dataset",
+                    token=HF_TOKEN_READ, local_dir=".", local_dir_use_symlinks=False,
+                    force_download=True, resume_download=False
+                )
+                logging.info(f"Successfully downloaded {file_name}.")
+                success = True
+                break
+            except HfHubHTTPError as e:
+                if e.response.status_code == 404:
+                    logging.warning(f"File {file_name} not found in repo {REPO_ID}. Creating empty local file.")
+                    if not os.path.exists(file_name):
+                        try:
+                            if file_name == DATA_FILE:
+                                with open(file_name, 'w', encoding='utf-8') as f:
+                                    json.dump({'sites': {}}, f) # Структура данных для этого проекта
+                                logging.info(f"Created empty local file {file_name}.")
+                        except Exception as create_e:
+                            logging.error(f"Failed to create empty local file {file_name}: {create_e}")
+                    success = True # Считаем успехом, т.к. создали пустой файл
+                    break
+                else:
+                    logging.error(f"HTTP error downloading {file_name} (Attempt {attempt + 1}): {e}. Retrying...")
+            except Exception as e:
+                 logging.error(f"Unexpected error downloading {file_name} (Attempt {attempt + 1}): {e}. Retrying...", exc_info=True)
+            if attempt < retries: time.sleep(delay)
+        if not success:
+            logging.error(f"Failed to download {file_name} after {retries + 1} attempts.")
+            all_successful = False
+    logging.info(f"Download process finished. Overall success: {all_successful}")
+    return all_successful
+def upload_db_to_hf(specific_file=None):
+    if not HF_TOKEN_WRITE:
+        logging.warning("HF_TOKEN_WRITE not set. Skipping upload to Hugging Face.")
+        return
+    try:
+        api = HfApi()
+        files_to_upload = [specific_file] if specific_file else SYNC_FILES
+        logging.info(f"Starting upload of {files_to_upload} to HF repo {REPO_ID}...")
+        for file_name in files_to_upload:
+            if os.path.exists(file_name):
+                api.upload_file(
+                    path_or_fileobj=file_name, path_in_repo=file_name,
+                    repo_id=REPO_ID, repo_type="dataset", token=HF_TOKEN_WRITE,
+                    commit_message=f"Sync {file_name} {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}"
+                )
+                logging.info(f"File {file_name} successfully uploaded to Hugging Face.")
+            else:
+                logging.warning(f"File {file_name} not found locally, skipping upload.")
+    except Exception as e:
+        logging.error(f"Error during Hugging Face upload: {e}", exc_info=True)
+def periodic_backup():
+    backup_interval = 1800  # 30 минут
+    logging.info(f"Setting up periodic backup every {backup_interval} seconds.")
+    while True:
+        time.sleep(backup_interval)
+        logging.info("Starting periodic backup...")
+        upload_db_to_hf()
+        logging.info("Periodic backup finished.")
+def load_data():
+    default_data = {'sites': {}}
+    if not os.path.exists(DATA_FILE):
+        logging.warning(f"{DATA_FILE} not found locally. Attempting to download from HF.")
+        download_db_from_hf(specific_file=DATA_FILE)
+    try:
+        with open(DATA_FILE, 'r', encoding='utf-8') as file:
+            data = json.load(file)
+        if not isinstance(data, dict) or 'sites' not in data:
+            logging.error(f"Data in {DATA_FILE} is corrupted. Using default.")
+            return default_data
+        return data
+    except (FileNotFoundError, json.JSONDecodeError):
+        logging.error(f"Could not read or parse {DATA_FILE}. Using default and creating a new one.")
+        with open(DATA_FILE, 'w', encoding='utf-8') as f:
+            json.dump(default_data, f)
+        return default_data
+def save_data(data):
+    try:
+        with open(DATA_FILE, 'w', encoding='utf-8') as file:
+            json.dump(data, file, ensure_ascii=False, indent=4)
+        logging.info(f"Data successfully saved to {DATA_FILE}")
+        # Запускаем загрузку в HF в отдельном потоке, чтобы не блокировать ответ пользователю
+        threading.Thread(target=upload_db_to_hf, args=(DATA_FILE,)).start()
+    except Exception as e:
+        logging.error(f"Error saving data to {DATA_FILE}: {e}", exc_info=True)
+# --- 3. ЛОГИКА ГЕНЕРАЦИИ КОДА ---
+def generate_python_flask_app(user_prompt):
+    """
+    Генерирует код полноценного однофайлового Flask-приложения по запросу пользователя.
+    """
+    if not GOOGLE_API_KEY:
+        raise ValueError("GOOGLE_API_KEY не настроен в переменных окружения.")
+    try:
+        genai.configure(api_key=GOOGLE_API_KEY)
+    except Exception as e:
+        raise ValueError(f"Не удалось настроить Google AI. Проверьте GOOGLE_API_KEY. Ошибка: {e}")
+    if not user_prompt or not user_prompt.strip():
+        raise ValueError("Текстовый запрос (промпт) не может быть пустым.")
+    # КЛЮЧЕВОЕ ИЗМЕНЕНИЕ: Системный промпт для генерации Python кода
+    system_instruction = (
+        "You are an expert Python Flask developer. Your task is to generate a complete, single-file Python Flask application "
+        "based on the user's request. The entire application must be contained within one single `.py` file.\n"
+        "Follow these rules strictly:\n"
+        "1.  **Self-Contained:** The script must be fully self-contained. All HTML, CSS, and JavaScript must be embedded within Python multi-line string variables (templates). Do not attempt to read external template files.\n"
+        "2.  **Imports:** Include all necessary imports at the top of the script (e.g., `os`, `json`, `uuid`, `from flask import Flask, request, jsonify, render_template_string, redirect, url_for`).\n"
+        "3.  **Database:** For data persistence, use a simple JSON file as a database. The script should handle creating, reading, and writing to this JSON file (e.g., `db.json`). The database logic should be part of the generated script.\n"
+        "4.  **Structure:** The script should define the Flask app, necessary HTML/CSS/JS templates as strings, Flask routes (`@app.route(...)`), and data handling functions. Ensure the app is well-commented and easy to understand.\n"
+        "5.  **Execution:** The script must include the standard `if __name__ == '__main__':` block to run the Flask development server, making it runnable with a single command `python <filename>.py`.\n"
+        "6.  **Functionality:** The generated app should be fully functional according to the user's request, visually clean, and user-friendly. Use modern, responsive CSS.\n"
+        "7.  **Output Format:** Directly output ONLY the raw Python code. Do NOT wrap it in markdown blocks like ```python ... ```. Do not include any explanatory text, titles, or comments before `import` or after the `app.run()` call. The response must start with `import` and end with `)`. "
+        "8.  **Example App Type:** For a request 'a simple blog', generate a Flask app with routes for viewing all posts, viewing a single post, and a form to add a new post. It should save posts in a `blog_posts.json` file."
+    )
+    full_prompt = f"{system_instruction}\n\nUser request: \"{user_prompt}\""
+    try:
+        model = genai.GenerativeModel('gemini-1.5-flash-latest') # Используем современную модель
+        response = model.generate_content(full_prompt)
+        # Обработка ответа от новой модели Gemini
+        if not response.parts:
+             if hasattr(response, 'prompt_feedback') and response.prompt_feedback.block_reason:
+                 reason = response.prompt_feedback.block_reason
+                 raise ValueError(f"Генерация контента заблокирована (причина: {reason}). Попробуйте другой запрос.")
+             else:
+                raise ValueError("Модель вернула пустой результат. Попробуйте изменить запрос.")
+        generated_text = "".join(part.text for part in response.parts)
+        # Очистка и проверка результата
+        clean_text = generated_text.strip()
+        if clean_text.lower().startswith("```python"):
+            clean_text = clean_text[9:]
+            if clean_text.endswith("```"):
+                clean_text = clean_text[:-3]
+        if not clean_text.strip().lower().startswith("import"):
+             print(f"Warning: Output might not be pure Python. Preview: {clean_text[:200]}")
+             # Можно добавить дополнительную логику очистки, если понадобится
+        return clean_text.strip()
+    except Exception as e:
+        logging.error(f"Error generating content with GenAI: {e}")
+        error_message = str(e)
+        if "API key not valid" in error_message:
+             raise ValueError("Внутренняя ошибка: API ключ Google недействителен.")
+        elif "quota" in error_message.lower():
+             raise ValueError("Квота запросов к Google AI исчерпана. Попробуйте позже.")
+        else:
+             raise ValueError(f"Ошибка при генерации Python-кода: {e}")
+# --- 4. FRONTEND И ОСНОВНЫЕ ROUTES ---
+# HTML-шаблон для главной страницы. Обновлен текст и логика JS
+html_template = """
+<!DOCTYPE html>
+<html lang="ru">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0, viewport-fit=cover">
+    <title>EVA - Генератор Python Flask Сайтов</title>
+    <style>
+        :root {
+            --system-gray-100-light: #f2f2f7; --system-gray-75-light: #f8f8fa; --system-gray-50-light: #ffffff; --system-gray-dark-100-light: #000000; --system-gray-dark-75-light: #1c1c1e; --system-gray-dark-50-light: #3a3a3c; --system-gray-light-75-light: #8e8e93; --system-gray-light-50-light: #aeaeb2; --system-blue-light: #007aff; --system-blue-light-hover: #005ecf; --system-red-light: #ff3b30; --system-separator-light: rgba(60, 60, 67, 0.29); --system-separator-opaque-light: #d1d1d6;
+            --system-gray-100-dark: #1c1c1e; --system-gray-75-dark: #2c2c2e; --system-gray-50-dark: #000000; --system-gray-dark-100-dark: #ffffff; --system-gray-dark-75-dark: #f2f2f7; --system-gray-dark-50-dark: #e5e5ea; --system-gray-light-75-dark: #8e8e93; --system-gray-light-50-dark: #636366; --system-blue-dark: #0a84ff; --system-blue-dark-hover: #3b9eff; --system-red-dark: #ff453a; --system-separator-dark: rgba(84, 84, 88, 0.65); --system-separator-opaque-dark: #38383a;
+        }
+        @media (prefers-color-scheme: dark) { :root { --bg-color: var(--system-gray-50-dark); --content-bg: var(--system-gray-100-dark); --text-color: var(--system-gray-dark-100-dark); --secondary-text-color: var(--system-gray-light-75-dark); --tertiary-text-color: var(--system-gray-light-50-dark); --border-color: var(--system-separator-dark); --border-color-opaque: var(--system-separator-opaque-dark); --input-bg: var(--system-gray-75-dark); --primary-color: var(--system-blue-dark); --primary-color-hover: var(--system-blue-dark-hover); --error-color: var(--system-red-dark); } }
+        @media (prefers-color-scheme: light) { :root { --bg-color: var(--system-gray-100-light); --content-bg: var(--system-gray-50-light); --text-color: var(--system-gray-dark-100-light); --secondary-text-color: var(--system-gray-light-75-light); --tertiary-text-color: var(--system-gray-light-50-light); --border-color: var(--system-separator-light); --border-color-opaque: var(--system-separator-opaque-light); --input-bg: var(--system-gray-75-light); --primary-color: var(--system-blue-light); --primary-color-hover: var(--system-blue-light-hover); --error-color: var(--system-red-light); } }
+        html { height: -webkit-fill-available; }
+        body { font-family: -apple-system, BlinkMacSystemFont, "SF Pro Text", "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif; margin: 0; padding: 20px env(safe-area-inset-top) 20px env(safe-area-inset-bottom); background-color: var(--bg-color); color: var(--text-color); display: flex; justify-content: center; align-items: flex-start; min-height: 100vh; min-height: -webkit-fill-available; line-height: 1.45; -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; }
+        .container { background-color: var(--content-bg); padding: 25px 30px 30px 30px; border-radius: 24px; box-shadow: 0 12px 28px rgba(0, 0, 0, 0.08), 0 2px 4px rgba(0,0,0,0.05); max-width: 580px; width: calc(100% - 40px); box-sizing: border-box; margin-top: 30px; }
+        h1 { font-size: 32px; font-weight: 700; text-align: center; margin-bottom: 8px; color: var(--text-color); letter-spacing: -0.5px; }
+        p.subtitle { font-size: 17px; color: var(--secondary-text-color); text-align: center; margin-bottom: 35px; font-weight: 400; }
+        .form-group { margin-bottom: 28px; }
+        label.input-label { display: block; font-weight: 500; margin-bottom: 10px; font-size: 15px; color: var(--secondary-text-color); padding-left: 5px; }
+        textarea#prompt-input { width: 100%; padding: 14px 18px; border: 1px solid var(--border-color-opaque); border-radius: 12px; font-size: 16px; background-color: var(--input-bg); color: var(--text-color); box-sizing: border-box; transition: border-color 0.2s ease, box-shadow 0.2s ease; font-family: inherit; resize: vertical; min-height: 120px; }
+        textarea#prompt-input:focus { border-color: var(--primary-color); box-shadow: 0 0 0 3px color-mix(in srgb, var(--primary-color) 25%, transparent); outline: none; }
+        button#generate-button { width: 100%; padding: 16px; background-color: var(--primary-color); color: white; border: none; border-radius: 12px; font-size: 17px; font-weight: 600; cursor: pointer; transition: background-color 0.2s ease, transform 0.1s ease; margin-top: 15px; }
+        button#generate-button:hover { background-color: var(--primary-color-hover); } button#generate-button:active { transform: scale(0.98); } button#generate-button:disabled { background-color: var(--tertiary-text-color); cursor: not-allowed; }
+        .output-section { margin-top: 35px; } .output-header { display: flex; justify-content: space-between; align-items: center; margin-bottom: 10px; } label#output-label { font-weight: 500; font-size: 15px; color: var(--secondary-text-color); padding-left: 5px; }
+        button#copy-button { background-color: transparent; border: none; color: var(--primary-color); font-size: 14px; font-weight: 500; cursor: pointer; padding: 5px 8px; border-radius: 6px; transition: background-color 0.2s ease, color 0.2s ease; display: none; }
+        button#copy-button:hover { background-color: color-mix(in srgb, var(--primary-color) 15%, transparent); } button#copy-button:active { background-color: color-mix(in srgb, var(--primary-color) 25%, transparent); } button#copy-button.copied { color: #34c759; } @media (prefers-color-scheme: dark) { button#copy-button.copied { color: #30d158; } }
+        #output-container { background-color: var(--input-bg); padding: 18px 20px; border-radius: 12px; min-height: 60px; border: 1px solid var(--border-color); word-wrap: break-word; font-size: 15px; color: var(--text-color); line-height: 1.5; transition: border-color 0.2s ease, background-color 0.2s ease; display: flex; align-items: center; justify-content: center; }
+        #output-container a { color: var(--primary-color); text-decoration: none; font-weight: 500; } #output-container a:hover { text-decoration: underline; }
+        #output-container.loading::before { content: "Генерация Python-кода..."; display: block; text-align: center; font-style: italic; color: var(--secondary-text-color); animation: fadePulse 1.8s infinite ease-in-out; }
+        #output-container.error { color: var(--error-color); font-weight: 500; border-color: color-mix(in srgb, var(--error-color) 50%, transparent); background-color: color-mix(in srgb, var(--error-color) 10%, var(--input-bg)); justify-content: flex-start; }
+        @keyframes fadePulse { 0%, 100% { opacity: 0.6; } 50% { opacity: 1; } }
+        /* Mobile styles omitted for brevity, they are the same as in original file */
     </style>
 </head>
 <body>
     <div class="container">
         <h1>EVA</h1>
+        <p class="subtitle">Генератор Python Flask сайтов</p>
         <form id="generate-form">
             <div class="form-group">
+                <label for="prompt-input" class="input-label">Опишите сайт, который вы хотите создать</label>
+                <textarea id="prompt-input" name="prompt" rows="6" required placeholder="Например: создай сайт-блог с возможностью добавлять посты (заголовок и текст) и удалять их. Посты должны сохраняться в JSON-файл. Главная страница должна отображать все посты."></textarea>
             </div>
+            <button type="submit" id="generate-button">Создать сайт</button>
         </form>
         <div class="output-section">
              <div class="output-header">
+                 <label id="output-label">Ссылка на скачивание</label>
                  <button id="copy-button">Копировать</button>
              </div>
+            <div id="output-container" aria-live="polite"></div>
         </div>
     </div>
         form.addEventListener('submit', async (event) => {
             event.preventDefault();
+            if (!promptInput.value.trim()) { showError("Пожалуйста, опишите сайт."); return; }
             generateButton.disabled = true;
             generateButton.textContent = 'Генерация...';
             outputContainer.innerHTML = '';
             outputContainer.classList.add('loading');
             outputContainer.classList.remove('error');
             copyButton.style.display = 'none';
             try {
                 const response = await fetch('/generate', {
                     method: 'POST',
+                    body: new FormData(form)
                 });
                 const result = await response.json();
                 if (!response.ok) {
                     throw new Error(result.error || `Ошибка сервера: ${response.status}`);
                 }
+                // ИЗМЕНЕНО: Обрабатываем ссылку на скачивание
                 if (result.download_url) {
                     const link = document.createElement('a');
                     link.href = result.download_url;
+                    link.textContent = "Скачать сгенерированный сайт (.py)";
+                    link.setAttribute('download', ''); // Атрибут для скачивания
                     outputContainer.innerHTML = '';
                     outputContainer.appendChild(link);
                     copyButton.style.display = 'block';
                     copyButton.dataset.copyText = window.location.origin + result.download_url;
                 } else {
+                    showError(result.error || "Не удалось получить ссылку на скачивание.");
                 }
             } catch (error) {
                 console.error("Fetch Error:", error);
                 showError(`Ошибка: ${error.message}`);
             } finally {
                 generateButton.disabled = false;
+                generateButton.textContent = 'Создать сайт';
                 outputContainer.classList.remove('loading');
             }
         });
         copyButton.addEventListener('click', () => {
             const textToCopy = copyButton.dataset.copyText;
             if (!textToCopy) return;
             navigator.clipboard.writeText(textToCopy).then(() => {
                 copyButton.textContent = 'Скопировано!';
                 copyButton.classList.add('copied');
+                setTimeout(() => { copyButton.textContent = 'Копировать'; copyButton.classList.remove('copied'); }, 1500);
+            }).catch(err => { console.error('Ошибка копирования: ', err); });
         });
         function showError(message) {
+             outputContainer.innerHTML = `<span>${message}</span>`;
              outputContainer.classList.add('error');
              outputContainer.classList.remove('loading');
              copyButton.style.display = 'none';
         }
     </script>
 </body>
 </html>
 """
 @app.route('/')
 def index():
     return Response(html_template, mimetype='text/html')
+@app.route('/download/<path:filename>')
+def download_generated_site(filename):
+    """
+    Новый route для скачивания сгенерированных .py файлов.
+    """
+    logging.info(f"Request to download file: {filename}")
+    return send_from_directory(
+        GENERATED_SITES_DIR,
+        filename,
+        as_attachment=True # Этот параметр заставляет браузер скачать файл
+    )
 @app.route('/generate', methods=['POST'])
 def handle_generate():
         return jsonify({"error": "Текстовый запрос (промпт) не найден."}), 400
     user_prompt = request.form['prompt']
     if not user_prompt or not user_prompt.strip():
          return jsonify({"error": "Текстовый запрос не может быть пустым."}), 400
     try:
+        # 1. Генерируем код Python приложения
+        python_code = generate_python_flask_app(user_prompt)
+        if not python_code or not python_code.strip():
+            return jsonify({"error": "Сгенерированный код пуст. Попробуйте другой запрос."}), 500
+        # 2. Сохраняем код в .py файл
+        site_id = str(uuid.uuid4())
+        filename = f"{site_id}.py"
+        filepath = os.path.join(GENERATED_SITES_DIR, filename)
         with open(filepath, "w", encoding="utf-8") as f:
+            f.write(python_code)
+        # 3. Обновляем нашу базу данных
+        data = load_data()
+        data['sites'][site_id] = {
+            'id': site_id,
+            'prompt': user_prompt,
+            'filename': filename,
+            'created_at': datetime.now().isoformat()
+        }
+        save_data(data) # Сохраняем локально и асинхронно отправляем в HF
+        # 4. Возвращаем ссылку на скачивание
+        download_url = f"/download/{filename}"
         return jsonify({"download_url": download_url})
     except ValueError as ve:
+        # Ошибки валидации или от API
         return jsonify({"error": str(ve)}), 400
     except Exception as e:
+        logging.error(f"Unexpected error during site generation: {e}", exc_info=True)
+        return jsonify({"error": f"Внутренняя ошибка сервера: {e}"}), 500
+# --- 5. ЗАПУСК ПРИЛОЖЕНИЯ ---
 if __name__ == '__main__':
+    logging.info("Application starting up...")
+    # Первоначальная синхронизация при старте
+    logging.info("Performing initial data sync from Hugging Face...")
+    download_db_from_hf()
+    # Запуск периодического резервного копирования в фоновом потоке
+    if HF_TOKEN_WRITE:
+        backup_thread = threading.Thread(target=periodic_backup, daemon=True)
+        backup_thread.start()
+        logging.info("Periodic backup thread started.")
+    else:
+        logging.warning("Periodic backup thread will NOT run (HF_TOKEN_WRITE not set).")
     port = int(os.environ.get('PORT', 7860))
+    logging.info(f"Starting Flask app on host 0.0.0.0 and port {port}")
+    app.run(host='0.0.0.0', port=port, debug=False)