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authorBen Sima <ben@bsima.me>2022-12-16 09:40:27 -0500
committerBen Sima <ben@bsima.me>2022-12-16 09:40:27 -0500
commit11e480c4b13808f12bc3f5db2765cebebf1aaf46 (patch)
treeb04e671775018f864ce78ddec5abd7557739a7b1 /ava.py
parent6edd44ebc073c2bc5e299a481c4a8586f5e0158a (diff)
Stub ava chatbot
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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()
+"""