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https://github.com/khoaliber/khoj.git
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Wire up GPT understand method to /chat API. Log conversation metadata too
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45
src/main.py
45
src/main.py
@@ -12,7 +12,7 @@ from src.search_type import asymmetric, symmetric_ledger, image_search
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from src.utils.helpers import get_absolute_path
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from src.utils.cli import cli
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from src.utils.config import SearchType, SearchModels, TextSearchConfig, ImageSearchConfig, SearchConfig, ProcessorConfig, ConversationProcessorConfig
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from src.processor.conversation.gpt import converse, message_to_prompt
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from src.processor.conversation.gpt import converse, message_to_log, message_to_prompt, understand
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# Application Global State
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@@ -91,13 +91,16 @@ def regenerate(t: Optional[SearchType] = None):
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@app.get('/chat')
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def chat(q: str):
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# Load Conversation History
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conversation_history = processor_config.conversation.conversation_history
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chat_log = processor_config.conversation.chat_log
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meta_log = processor_config.conversation.meta_log
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# Converse with OpenAI GPT
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gpt_response = converse(q, conversation_history, api_key=processor_config.conversation.openai_api_key)
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user_message_metadata = understand(q, api_key=processor_config.conversation.openai_api_key)
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gpt_response = converse(q, chat_log, api_key=processor_config.conversation.openai_api_key)
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# Update Conversation History
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processor_config.conversation.conversation_history = message_to_prompt(q, conversation_history, gpt_response)
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processor_config.conversation.chat_log = message_to_prompt(q, chat_log, gpt_message=gpt_response)
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processor_config.conversation.meta_log= message_to_log(q, user_message_metadata, gpt_response, meta_log)
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return {'status': 'ok', 'response': gpt_response}
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@@ -130,36 +133,48 @@ def initialize_search(config, regenerate, verbose):
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def initialize_processor(config, verbose):
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processor_config = ProcessorConfig()
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# Initialize Conversation Processor
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processor_config = ProcessorConfig()
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processor_config.conversation = ConversationProcessorConfig.create_from_dictionary(config, ('processor', 'conversation'), verbose)
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# Load or Initialize Conversation History from Disk
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conversation_logfile = processor_config.conversation.conversation_logfile
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if processor_config.conversation.verbose:
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print('Saving conversation logs to disk...')
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print('INFO:\tLoading conversation logs from disk...')
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if conversation_logfile.expanduser().absolute().is_file():
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# Load Metadata Logs from Conversation Logfile
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with open(get_absolute_path(conversation_logfile), 'r') as f:
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processor_config.conversation.conversation_history = json.load(f).get('chat', '')
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processor_config.conversation.meta_log = json.load(f)
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# Extract Chat Logs from Metadata
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processor_config.conversation.chat_log = ''.join(
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[f'\n{item["by"]}: {item["message"]}'
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for item
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in processor_config.conversation.meta_log])
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print('INFO:\tConversation logs loaded from disk.')
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else:
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processor_config.conversation.conversation_history = ''
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# Initialize Conversation Logs
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processor_config.conversation.meta_log = []
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processor_config.conversation.chat_log = ""
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return processor_config
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@app.on_event('shutdown')
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def shutdown_event():
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if processor_config.conversation.verbose:
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print('Saving conversation logs to disk...')
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# No need to create empty log file
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if not processor_config.conversation.meta_log:
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return
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elif processor_config.conversation.verbose:
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print('INFO:\tSaving conversation logs to disk...')
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# Save Conversation History to Disk
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# Save Conversation Metadata Logs to Disk
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conversation_logfile = get_absolute_path(processor_config.conversation.conversation_logfile)
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with open(conversation_logfile, "w+", encoding='utf-8') as logfile:
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json.dump({"chat": processor_config.conversation.conversation_history}, logfile)
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json.dump(processor_config.conversation.meta_log, logfile)
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print('Conversation logs saved to disk.')
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print('INFO:\tConversation logs saved to disk.')
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if __name__ == '__main__':
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