Delete app.py

app.py

@@ -1,37 +0,0 @@
-import gradio as gr
-import telegram
-from transformers import GPT2LMHeadModel, GPT2Tokenizer
-model = GPT2LMHeadModel.from_pretrained("gpt2-xl")
-tokenizer = GPT2Tokenizer.from_pretrained("gpt2-xl")
-def generate_response(input_text):
-    input_ids = tokenizer.encode(input_text, return_tensors="pt")
-    output = model.generate(input_ids, max_length=100, num_return_sequences=1)
-    response = tokenizer.decode(output[0], skip_special_tokens=True)
-    return response
-def handle_message(bot, update):
-    message = update.message
-    user_input = message.text
-
-    # Generate a response based on the user input
-    response = generate_response(user_input)
-
-    # Send the response back to the user
-    bot.send_message(chat_id=message.chat_id, text=response)
-
-# Update the demo launch function to include the Telegram bot functionality
-def launch_demo():
-    updater = telegram.Updater(TOKEN)
-    dispatcher = updater.dispatcher
-
-    # Register the message handler
-    dispatcher.add_handler(telegram.MessageHandler(telegram.Filters.text, handle_message))
-
-    # Start the bot
-    updater.start_polling()
-
-    # Launch the Gradio interface
-    demo.launch()
-
-if __name__ == "__main__":
-    TOKEN = "6701619783:AAFE384ILY-KADTXQryB0mLqwh-Svwu2lyE"  # Replace with your actual bot token
-    launch_demo()