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diff --git a/ava.py b/ava.py
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+#!/usr/bin/env python
+import transformers import AutoModelWithLMHead, AutoTokenizer, TextGenerator
+# import sleekxmpp
+
+model_name = "gpt-neox-20b"
+
+model = AutoModelWithLMHead.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+generator = TextGenerator(model=model, tokenizer=tokenizer)
+
+def generate_response(input_text):
+  response = model.generate(
+    input_ids=input_text,
+    max_length=1024,
+    temperature=0.7,
+  )
+  return response
+
+# Get user input and generate a response
+user_input = input("User: ")
+response = generate_response(user_input)
+print("Bot: ", response)
+
+"""
+# Set up the XMPP client
+client = sleekxmpp.ClientXMPP(
+  "ava@simatime.com",
+  "test"
+)
+client.connect()
+client.process(block=True)
+
+# Define a function that takes in a user's input and returns a response
+def generate_response(input_text):
+  # You would use your language model to generate a response here
+  response = "This is a response to the user's input: " + input_text
+  return response
+
+# Handle incoming messages
+@client.add_event_handler("message")
+def handle_message(message):
+  # Get the user's input
+  user_input = message["body"]
+
+  # Generate a response
+  response = generate_response(user_input)
+
+  # Send the response to the user
+  message.reply(response).send()
+"""