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bot_GPT-4-128k-mirror.py
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bot_GPT-4-128k-mirror.py
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"""
NOTE: no longer deployed, please use official GPT-4 bots
BOT_NAME="GPT-4-128k-mirror"; modal deploy --name $BOT_NAME bot_${BOT_NAME}.py; curl -X POST https://api.poe.com/bot/fetch_settings/$BOT_NAME/$POE_ACCESS_KEY
Test message:
ChatGPT
"""
from __future__ import annotations
import os
import re
import time
from typing import AsyncIterable, Union
import fastapi_poe.client
import tiktoken
from fastapi_poe import PoeBot, make_app
from fastapi_poe.types import (
PartialResponse,
QueryRequest,
SettingsRequest,
SettingsResponse,
)
from modal import Dict, Image, Stub, asgi_app
from openai import OpenAI
from sse_starlette.sse import ServerSentEvent
fastapi_poe.client.MAX_EVENT_COUNT = 10000
DAY_IN_SECS = 24 * 60 * 60
# for non-subscribers, the message limit is defined in the bot settings
SUBSCRIBER_DAILY_TOKEN_LIMIT = 200_000
encoding = tiktoken.encoding_for_model("gpt-4-1106-preview")
stub = Stub("poe-bot-quickstart")
stub.my_dict = Dict.new()
user_allowlist = {}
def prettify_time_string(second) -> str:
second = int(second)
hour, second = divmod(second, 60 * 60)
minute, second = divmod(second, 60)
string = "You can send the next message in"
if hour == 1:
string += f" {hour} hour"
elif hour > 1:
string += f" {hour} hours"
if minute == 1:
string += f" {minute} minute"
elif minute > 1:
string += f" {minute} minutes"
if second == 1:
string += f" {second} second"
elif second > 1:
string += f" {second} seconds"
return string
def split_markdown_text_images(
markdown_text,
) -> list[dict[str, Union(str, dict[str, str])]]:
# This regex will match Markdown image syntax
image_regex = r'!\[([^\]]*)\]\(([^\s]+)(?:\s+"([^"]+)")?\)'
# Split the text based on the regex
parts = re.split(image_regex, markdown_text)
# Interleave text and images
interleaved = []
i = 0
while i < len(parts):
text = parts[i]
if text:
interleaved.append({"type": "text", "text": text})
if i + 3 < len(parts):
alt_text, image_url, optional_title = parts[i + 1 : i + 4]
image_info = {
"type": "image_url",
# 'alt_text': alt_text,
"image_url": {"url": image_url},
# 'title': optional_title or ''
}
interleaved.append(image_info)
i += 4
return interleaved
class EchoBot(PoeBot):
async def get_response(
self, request: QueryRequest
) -> AsyncIterable[ServerSentEvent]:
print(request.user_id)
print(request.query[-1].content)
token_count = sum(
len(encoding.encode(query.content)) for query in request.query
)
# randval = random.randint(0, int(token_count**0.5))
# print("randval", randval)
# if request.query[-1].content.startswith("[{'role': '") and randval > 0:
# yield PartialResponse(text="")
# time.sleep(random.randint(0, max(10, min(100, token_count))))
# return
# check message limit
dict_key = f"gpt4-mirror-token-limit-{request.user_id}"
current_time = time.time()
if dict_key not in stub.my_dict:
stub.my_dict[dict_key] = []
calls = stub.my_dict[dict_key]
while calls and calls[0][0] <= current_time - DAY_IN_SECS:
del calls[0]
# if len(calls) == 0 and token_count >= 1000:
# print(request.user_id, len(calls), token_count)
# yield PartialResponse(
# text="Please subscribe to Poe to send longer messages.\n\nIf you have subscribed, please start a new chat, send a short message, and then retry."
# )
# return
if (
sum(weight for _, weight in calls) >= SUBSCRIBER_DAILY_TOKEN_LIMIT
and request.user_id not in user_allowlist
):
print(request.user_id, len(calls))
time_remaining = calls[0][0] + DAY_IN_SECS - current_time
yield PartialResponse(text=prettify_time_string(time_remaining))
return
calls.append((current_time, token_count))
stub.my_dict[dict_key] = calls
print(calls)
client = OpenAI()
openai_messages = []
openai_messages_no_image = []
conversation_has_image = False
for query in request.query:
if query.role == "bot":
openai_messages_no_image.append(
{"role": "assistant", "content": query.content}
)
openai_messages.append(
{
"role": "assistant",
"content": [{"type": "text", "text": query.content}],
}
)
if query.role == "user":
openai_messages_no_image.append(
{"role": query.role, "content": query.content}
)
openai_messages.append(
{
"role": query.role,
"content": split_markdown_text_images(query.content),
}
)
for attachment in query.attachments:
print(attachment.content_type)
if attachment.content_type.startswith("image/"):
openai_messages[-1]["content"].append(
{"type": "image_url", "image_url": {"url": attachment.url}}
)
conversation_has_image = True
print(attachment.url)
calls = stub.my_dict[dict_key]
calls.append((current_time, 1000))
stub.my_dict[dict_key] = calls
else:
yield PartialResponse(
text=f"Attaching {attachment.name} is not supported.\n\n"
)
if query.role == "system":
openai_messages_no_image.append(
{"role": query.role, "content": query.content}
)
openai_messages.append(
{
"role": query.role,
"content": [{"type": "text", "text": query.content}],
}
)
if conversation_has_image:
stream = client.chat.completions.create(
model="gpt-4o", messages=openai_messages, stream=True, max_tokens=4096
)
else:
stream = client.chat.completions.create(
model="gpt-4o",
messages=openai_messages_no_image,
stream=True,
max_tokens=4096,
)
yield PartialResponse(text="", is_replace_response=True)
for chunk in stream:
if chunk.choices[0].delta.content is not None:
yield PartialResponse(text=chunk.choices[0].delta.content)
async def get_settings(self, setting: SettingsRequest) -> SettingsResponse:
return SettingsResponse(
server_bot_dependencies={"GPT-4o": 1}, # not using
allow_attachments=True,
introduction_message="",
)
bot = EchoBot()
image = (
Image.debian_slim()
.pip_install("fastapi-poe==0.0.23", "openai==1.1.0", "tiktoken")
.env(
{
"OPENAI_API_KEY": os.environ["OPENAI_API_KEY"],
"POE_ACCESS_KEY": os.environ["POE_ACCESS_KEY"],
}
)
)
@stub.function(image=image)
@asgi_app()
def fastapi_app():
app = make_app(bot, api_key=os.environ["POE_ACCESS_KEY"])
return app