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Update app.py
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app.py
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@@ -2,6 +2,53 @@ import torch
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from PIL import Image
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from RealESRGAN import RealESRGAN
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import gradio as gr
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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model2 = RealESRGAN(device, scale=2)
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from PIL import Image
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from RealESRGAN import RealESRGAN
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import gradio as gr
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import logging
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from telegram.ext import Updater, CommandHandler, MessageHandler, Filters, CallbackContext
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from telegram import Update
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logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
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level=logging.INFO)
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# Your API Token
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TOKEN = "6231949511:AAH7-oU213cfrGYcfIMeaYOQUDf9kZoXc_0"
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# Initialize the Updater
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updater = Updater(token=TOKEN, use_context=True)
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dispatcher = updater.dispatcher
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# Define a command handler
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def start(update: Update, context: CallbackContext):
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context.bot.send_message(chat_id=update.effective_chat.id, text="Hello! I'm your bot. How can I help you?")
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# Register the command handler
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start_handler = CommandHandler('start', start)
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dispatcher.add_handler(start_handler)
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# Define a function to handle user messages
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def echo(update: Update, context: CallbackContext):
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context.bot.send_message(chat_id=update.effective_chat.id, text=update.message.text)
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# Register the message handler
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message_handler = MessageHandler(Filters.text & ~Filters.command, echo)
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dispatcher.add_handler(message_handler)
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# Start the bot
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updater.start_polling()
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# Run the bot until you send a signal to stop
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updater.idle()
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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model2 = RealESRGAN(device, scale=2)
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