Run OpenAI calls async
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e200393670
commit
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3 changed files with 51 additions and 6 deletions
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@ -2,6 +2,7 @@ import markdown2
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import duckdb
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import duckdb
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import tiktoken
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import tiktoken
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import asyncio
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import asyncio
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import functools
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from PIL import Image
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from PIL import Image
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@ -780,8 +781,18 @@ class GPTBot:
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chat_messages, self.max_tokens - 1, system_message=system_message)
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chat_messages, self.max_tokens - 1, system_message=system_message)
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try:
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try:
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response, tokens_used = self.chat_api.generate_chat_response(
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loop = asyncio.get_event_loop()
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chat_messages, user=room.room_id)
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except Exception as e:
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self.logger.log(f"Error getting event loop: {e}", "error")
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await self.send_message(
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room, "Something went wrong. Please try again.", True)
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return
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try:
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chat_partial = functools.partial(self.chat_api.generate_chat_response, truncated_messages, user=room.room_id)
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response, tokens_used = await loop.run_in_executor(None, chat_partial)
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# response, tokens_used = self.chat_api.generate_chat_response(
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# chat_messages, user=room.room_id)
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except Exception as e:
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except Exception as e:
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self.logger.log(f"Error generating response: {e}", "error")
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self.logger.log(f"Error generating response: {e}", "error")
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await self.send_message(
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await self.send_message(
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@ -1,3 +1,6 @@
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import asyncio
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import functools
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from nio.events.room_events import RoomMessageText
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from nio.events.room_events import RoomMessageText
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from nio.rooms import MatrixRoom
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from nio.rooms import MatrixRoom
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@ -8,7 +11,21 @@ async def command_classify(room: MatrixRoom, event: RoomMessageText, bot):
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if prompt:
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if prompt:
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bot.logger.log("Classifying message...")
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bot.logger.log("Classifying message...")
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response, tokens_used = bot.classification_api.classify_message(prompt, user=room.room_id)
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try:
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loop = asyncio.get_event_loop()
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except Exception as e:
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bot.logger.log(f"Error getting event loop: {e}", "error")
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await bot.send_message(
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room, "Something went wrong. Please try again.", True)
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return
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try:
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classify_partial = functools.partial(bot.classification_api.classify_message, prompt, user=room.room_id)
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response, tokens_used = await loop.run_in_executor(None, classify_partial)
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except Exception as e:
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bot.logger.log(f"Error classifying message: {e}", "error")
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await bot.send_message(room, "Sorry, I couldn't classify the message. Please try again later.", True)
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return
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message = f"The message you provided seems to be of type: {response['type']}."
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message = f"The message you provided seems to be of type: {response['type']}."
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@ -1,3 +1,6 @@
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import asyncio
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import functools
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from nio.events.room_events import RoomMessageText
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from nio.events.room_events import RoomMessageText
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from nio.rooms import MatrixRoom
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from nio.rooms import MatrixRoom
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@ -8,7 +11,21 @@ async def command_imagine(room: MatrixRoom, event: RoomMessageText, bot):
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if prompt:
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if prompt:
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bot.logger.log("Generating image...")
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bot.logger.log("Generating image...")
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images, tokens_used = bot.image_api.generate_image(prompt, user=room.room_id)
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try:
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loop = asyncio.get_event_loop()
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except Exception as e:
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bot.logger.log(f"Error getting event loop: {e}", "error")
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await bot.send_message(
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room, "Something went wrong. Please try again.", True)
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return
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try:
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image_partial = functools.partial(bot.image_api.generate_image, prompt, user=room.room_id)
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images, tokens_used = await loop.run_in_executor(None, image_partial)
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except Exception as e:
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bot.logger.log(f"Error generating image: {e}", "error")
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await bot.send_message(room, "Sorry, I couldn't generate an image. Please try again later.", True)
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return
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for image in images:
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for image in images:
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bot.logger.log(f"Sending image...")
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bot.logger.log(f"Sending image...")
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