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import openai
import gradio as gr
import os
import logging
import json
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
openai.api_key = os.environ['key']
role = os.environ['role']
aclass = os.environ['class']
mod = 3;
def trimMessages(messages):
# Assuming messages is an array of objects with "role" and "content" properties
content = {}
for message in messages:
if message["role"] == "assistant":
if "Current Status:" in message["content"]:
content = message["content"]
start_index = message["content"].index("Current Status:") + len("Current Status:")
end_index = message["content"].index("Wielding:")
new_content = message["content"][:start_index] + message["content"][end_index:]
message["content"] = new_content
if content != {}:
messages.append({"role": "assistant", "content": content})
return messages
def chatbot(input, messages):
messages = messages or [{"role": "system", "content": initMsg}]
if len(messages) % mod == 0 or len(messages) == 1:
memory = trimMessages(messages)
logging.info("put memory:"+printMessages(memory))
chat = openai.ChatCompletion.create(
model="gpt-3.5-turbo", messages=memory,
max_tokens=1048,n=1,temperature=0.5,
)
logging.info("put memory return:"+chat.choices[0].message.content)
if input:
messages.append({"role": "user", "content": input})
chat = openai.ChatCompletion.create(
model="gpt-3.5-turbo", messages=messages[-2:],
max_tokens=2048,n=1,temperature=0.5,
)
reply = chat.choices[0].message.content
messages.append({"role": "assistant", "content": reply})
return reply, messages
def printMessages(messages):
delimiter = '\n'
msg_string = delimiter.join([f"{obj['role']}:{obj['content']}" for obj in messages])
logging.info("messages:"+msg_string)
return msg_string
app = gr.Interface(fn=chatbot, inputs=[gr.Textbox(lines=7, label="You ask and answer questions below"), "state"],
outputs=[gr.Textbox(label="DND Game Reply", placeholder=role), "state"], title="DND Game",#, gr.Textbox(label="History"),
description="DND Game",theme="compact")
app.launch(share=False) |