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| 1 | +# Moon-Userbot - telegram userbot |
| 2 | +# Copyright (C) 2020-present Moon Userbot Organization |
| 3 | +# |
| 4 | +# This program is free software: you can redistribute it and/or modify |
| 5 | +# it under the terms of the GNU General Public License as published by |
| 6 | +# the Free Software Foundation, either version 3 of the License, or |
| 7 | +# (at your option) any later version. |
| 8 | + |
| 9 | +# This program is distributed in the hope that it will be useful, |
| 10 | +# but WITHOUT ANY WARRANTY; without even the implied warranty of |
| 11 | +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
| 12 | +# GNU General Public License for more details. |
| 13 | + |
| 14 | +# You should have received a copy of the GNU General Public License |
| 15 | +# along with this program. If not, see <https://www.gnu.org/licenses/>. |
| 16 | + |
| 17 | +import asyncio |
| 18 | +import logging |
| 19 | +import os |
| 20 | +import re |
| 21 | +import time |
| 22 | + |
| 23 | +import requests |
| 24 | +from bs4 import BeautifulSoup |
| 25 | +from pyrogram import Client, filters |
| 26 | +from pyrogram.types import Message |
| 27 | + |
| 28 | +from utils.misc import modules_help, prefix |
| 29 | +from utils.scripts import format_exc, format_module_help, progress, import_library |
| 30 | + |
| 31 | +lexica = import_library("lexica", "lexica-api") |
| 32 | + |
| 33 | +from lexica import AsyncClient, Client |
| 34 | + |
| 35 | + |
| 36 | +def ImageModels(): |
| 37 | + models = Client().models["models"]["image"] |
| 38 | + dict_models = {} |
| 39 | + for model in models: |
| 40 | + model_id = model["id"] |
| 41 | + model_name = model["name"] |
| 42 | + dict_models[model_name] = model_id |
| 43 | + return dict_models |
| 44 | + |
| 45 | + |
| 46 | +async def ImageGeneration(model, prompt): |
| 47 | + try: |
| 48 | + output = await AsyncClient().generate(model, prompt, "") |
| 49 | + if output["code"] != 1: |
| 50 | + return 2 |
| 51 | + if output["code"] == 69: |
| 52 | + return output["code"] |
| 53 | + task_id, request_id = output["task_id"], output["request_id"] |
| 54 | + await asyncio.sleep(20) |
| 55 | + tries = 0 |
| 56 | + image_url = None |
| 57 | + resp = await AsyncClient().getImages(task_id, request_id) |
| 58 | + while True: |
| 59 | + if resp["code"] == 2: |
| 60 | + image_url = resp["img_urls"] |
| 61 | + break |
| 62 | + if tries > 15: |
| 63 | + break |
| 64 | + await asyncio.sleep(5) |
| 65 | + resp = await AsyncClient().getImages(task_id, request_id) |
| 66 | + tries += 1 |
| 67 | + continue |
| 68 | + return image_url |
| 69 | + except Exception as e: |
| 70 | + logging.warning(e) |
| 71 | + finally: |
| 72 | + await AsyncClient().close() |
| 73 | + |
| 74 | + |
| 75 | +async def UpscaleImages(image: bytes) -> str: |
| 76 | + content = await AsyncClient().upscale(image) |
| 77 | + await AsyncClient().close() |
| 78 | + upscaled_file_path = "upscaled.png" |
| 79 | + with open(upscaled_file_path, "wb") as output_file: |
| 80 | + output_file.write(content) |
| 81 | + return upscaled_file_path |
| 82 | + |
| 83 | + |
| 84 | +@Client.on_message(filters.command("upscale", prefix) & filters.me) |
| 85 | +async def upscale(client: Client, message: Message): |
| 86 | + """Upscale Image Using Lexica API""" |
| 87 | + |
| 88 | + await message.edit("<code>Processing...</code>") |
| 89 | + try: |
| 90 | + photo_data = await message.download() |
| 91 | + except ValueError: |
| 92 | + try: |
| 93 | + photo_data = await message.reply_to_message.download() |
| 94 | + except ValueError: |
| 95 | + await message.edit("<b>File not found</b>") |
| 96 | + return |
| 97 | + try: |
| 98 | + with open(photo_data, "rb") as image_file: |
| 99 | + image = image_file.read() |
| 100 | + upscaled_image = await UpscaleImages(image) |
| 101 | + if message.reply_to_message: |
| 102 | + message_id = message.reply_to_message.id |
| 103 | + await message.delete() |
| 104 | + else: |
| 105 | + message_id = message.id |
| 106 | + await client.send_document( |
| 107 | + message.chat.id, |
| 108 | + upscaled_image, |
| 109 | + caption="Upscaled!", |
| 110 | + reply_to_message_id=message_id, |
| 111 | + ) |
| 112 | + os.remove(upscaled_image) |
| 113 | + os.remove(photo_data) |
| 114 | + except Exception as e: |
| 115 | + await message.edit(format_exc(e)) |
| 116 | + |
| 117 | + |
| 118 | +@Client.on_message(filters.command("lgen", prefix) & filters.me) |
| 119 | +async def lgen(client: Client, message: Message): |
| 120 | + try: |
| 121 | + await message.edit_text("<code>Processing...</code>") |
| 122 | + |
| 123 | + models = ImageModels() |
| 124 | + models_ids = models.values() |
| 125 | + |
| 126 | + if len(message.command) > 2: |
| 127 | + model_id = int(message.text.split()[1]) |
| 128 | + if model_id not in models_ids: |
| 129 | + return await message.edit_text(format_module_help("lgen")) |
| 130 | + message_id = None |
| 131 | + prompt = " ".join(message.text.split()[2:]) |
| 132 | + elif message.reply_to_message and len(message.command) > 1: |
| 133 | + model_id = int(message.text.split()[1]) |
| 134 | + if model_id not in models_ids: |
| 135 | + return await message.edit_text( |
| 136 | + f"<b>Usage: </b><code>{prefix}lgen [model_id]* [prompt/reply to prompt]*</code>\n <b>Available Models and IDs:</b> <blockquote>{models}</blockquote>" |
| 137 | + ) |
| 138 | + message_id = message.reply_to_message.id |
| 139 | + prompt = message.reply_to_message.text |
| 140 | + else: |
| 141 | + return await message.edit_text( |
| 142 | + f"<b>Usage: </b><code>{prefix}lgen [model_id]* [prompt/reply to prompt]*</code>\n <b>Available Models and IDs:</b> <blockquote>{models}</blockquote>" |
| 143 | + ) |
| 144 | + |
| 145 | + for key, val in models.items(): |
| 146 | + if val == model_id: |
| 147 | + model_name = key |
| 148 | + |
| 149 | + img = await ImageGeneration(model_id, prompt) |
| 150 | + if img is None or img == 1 or img == 2: |
| 151 | + return await message.edit_text("Something went wrong!") |
| 152 | + if img == 69: |
| 153 | + return await message.edit_text("NSFW is not allowed") |
| 154 | + img_url = img[0] |
| 155 | + with open("generated_image.png", "wb") as f: |
| 156 | + f.write(requests.get(img_url, timeout=5).content) |
| 157 | + |
| 158 | + await message.delete() |
| 159 | + await client.send_document( |
| 160 | + message.chat.id, |
| 161 | + "generated_image.png", |
| 162 | + caption=f"<b>Prompt: </b><code>{prompt}</code>\n<b>Model: </b><code>{model_name}</code>", |
| 163 | + reply_to_message_id=message_id, |
| 164 | + ) |
| 165 | + os.remove("generated_image.png") |
| 166 | + except Exception as e: |
| 167 | + await message.edit(format_exc(e)) |
| 168 | + |
| 169 | + |
| 170 | +@Client.on_message(filters.command("linsta", prefix) & filters.me) |
| 171 | +async def linsta(client: Client, message: Message): |
| 172 | + if len(message.command) < 2: |
| 173 | + return await message.edit_text( |
| 174 | + f"<b>Usage: </b><code>{prefix}linsta [link]*</code>" |
| 175 | + ) |
| 176 | + link = message.text.split(maxsplit=1)[1] |
| 177 | + url = f"https://social-dl.vercel.app/api/download?url={link}&platform=Instagram" |
| 178 | + await message.edit_text("<code>Processing...</code>") |
| 179 | + try: |
| 180 | + response = requests.post(url) |
| 181 | + if response.status_code == 200: |
| 182 | + if response.json().get("code") == 2: |
| 183 | + if response.json().get("message") == "success": |
| 184 | + download_url = response.json().get("content")[0].get("url") |
| 185 | + soup = BeautifulSoup(requests.get(link).text, "html.parser") |
| 186 | + title = soup.find("meta", property="og:title") |
| 187 | + if title: |
| 188 | + title_text = title["content"] |
| 189 | + title_text = re.sub(r"#\w+", "", title_text) |
| 190 | + title_text = title_text.replace("\n", "") |
| 191 | + title_text = re.sub(" +", " ", title_text) |
| 192 | + if ".mp4" in download_url: |
| 193 | + ext = ".mp4" |
| 194 | + elif ".jpg" in download_url: |
| 195 | + ext = ".jpg" |
| 196 | + elif ".png" in download_url: |
| 197 | + ext = ".png" |
| 198 | + elif ".webp" in download_url: |
| 199 | + ext = ".webp" |
| 200 | + elif ".gif" in download_url: |
| 201 | + ext = ".gif" |
| 202 | + with open(f"video_insta{ext}", "wb") as f: |
| 203 | + f.write(requests.get(download_url).content) |
| 204 | + await message.edit_text( |
| 205 | + "Video downloaded successfully... Uploading" |
| 206 | + ) |
| 207 | + await client.send_video( |
| 208 | + message.chat.id, |
| 209 | + f"video_insta{ext}", |
| 210 | + caption=f"<b>Title: </b><code>{title_text}</code>", |
| 211 | + progress=progress, |
| 212 | + progress_args=( |
| 213 | + message, |
| 214 | + time.time(), |
| 215 | + "Video downloaded successfully... Uploading", |
| 216 | + ), |
| 217 | + ) |
| 218 | + if os.path.exists(f"video_insta{ext}"): |
| 219 | + os.remove(f"video_insta{ext}") |
| 220 | + await message.delete() |
| 221 | + else: |
| 222 | + await message.edit_text("Error: Failed to retrieve download URL") |
| 223 | + else: |
| 224 | + await message.edit_text("Error: Invalid response format") |
| 225 | + else: |
| 226 | + await message.edit_text("Error: Failed to send request") |
| 227 | + except Exception as e: |
| 228 | + await message.edit_text(format_exc(e)) |
| 229 | + |
| 230 | + |
| 231 | +modules_help["lexica"] = { |
| 232 | + "lgen [model_id]* [prompt/reply to prompt]*": "Generate Image with Lexica API", |
| 233 | + "upscale [cap/reply to image]*": "Upscale Image through Lexica API", |
| 234 | + "linsta [link]*": "Download Instagram Media", |
| 235 | +} |
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