using openai async methods
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1 changed files with 16 additions and 41 deletions
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@ -39,22 +39,14 @@ class OpenAI:
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Returns:
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Tuple[str, int]: The response text and the number of tokens used.
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"""
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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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self.logger.log(f"Error getting event loop: {e}", "error")
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return
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self.logger.log(f"Generating response to {len(messages)} messages using {self.chat_model}...")
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chat_partial = functools.partial(
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openai.ChatCompletion.create,
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response = await openai.ChatCompletion.acreate(
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model=self.chat_model,
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messages=messages,
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api_key=self.api_key,
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user = user
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)
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response = await loop.run_in_executor(None, chat_partial)
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result_text = response.choices[0].message['content']
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tokens_used = response.usage["total_tokens"]
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@ -75,12 +67,6 @@ class OpenAI:
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- If for any reason you are unable to classify the message (for example, if it infringes on your terms of service), the event_type is "error", and the prompt is a message explaining why you are unable to process the message.
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Only the event_types mentioned above are allowed, you must not respond in any other way."""
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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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self.logger.log(f"Error getting event loop: {e}", "error")
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return
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messages = [
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{
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"role": "system",
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@ -94,14 +80,12 @@ Only the event_types mentioned above are allowed, you must not respond in any ot
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self.logger.log(f"Classifying message '{query}'...")
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chat_partial = functools.partial(
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openai.ChatCompletion.create,
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response = await openai.ChatCompletion.acreate(
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model=self.chat_model,
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messages=messages,
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api_key=self.api_key,
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user=user
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user = user
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)
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response = await loop.run_in_executor(None, chat_partial)
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try:
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result = json.loads(response.choices[0].message['content'])
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@ -123,24 +107,15 @@ Only the event_types mentioned above are allowed, you must not respond in any ot
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Yields:
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bytes: The image data.
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"""
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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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self.logger.log(f"Error getting event loop: {e}", "error")
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return
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self.logger.log(f"Generating image from prompt '{prompt}'...")
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image_partial = functools.partial(
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openai.Image.create,
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response = await openai.Image.acreate(
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prompt=prompt,
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n=1,
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api_key=self.api_key,
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size="1024x1024",
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user = user
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)
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response = await loop.run_in_executor(None, image_partial)
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images = []
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