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Update chat.py
Browse files
chat.py
CHANGED
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@@ -1,6 +1,6 @@
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from time import time, sleep
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import datetime
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import os
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import openai
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import json
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@@ -11,11 +11,14 @@ import re
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from langchain.memory import VectorStoreRetrieverMemory
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## Read the environment variables
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openai.api_key = os.getenv('OPENAI_API_KEY')
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embedding_model = os.getenv('EMBEDDING_ENGINE')
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convo_length = int(os.getenv('CONVO_LENGTH_TO_FETCH'))
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llm_model = os.getenv('LLM_MODEL')
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pinecone_api_key = os.getenv('PINECONE_API_KEY')
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pinecone_env = os.getenv('PINECONE_REGION')
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@@ -25,6 +28,9 @@ pinecone.init(
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environment=pinecone_env
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)
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vector_db = pinecone.Index(pinecone_index)
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def timestamp_to_datetime(unix_time):
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return datetime.datetime.fromtimestamp(unix_time).strftime("%A, %B %d, %Y at %I:%M%p %Z")
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@@ -116,7 +122,14 @@ def start_game(game_id, user_id, user_input):
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vector_db.upsert(payload)
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return(llm_output)
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def populate_prompt(game_id, splits):
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prompt_text = list()
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@@ -135,8 +148,12 @@ def populate_prompt(game_id, splits):
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def initialize_game(game_id, user_id, user_input):
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game_details = get_game_details(game_id)
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whole_prompt = populate_prompt(game_id, game_details["splits"])
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whole_prompt = whole_prompt.replace("<<USER_INPUT_MSG>>", user_input)
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llm_prompt_op = call_gpt(whole_prompt)
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#print(llm_prompt_op.choices[0]["message"]["content"])
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fname="prompt_" + game_id + "_" + user_id + ".txt"
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from time import time, sleep
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import datetime
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import dotenv
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import os
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import openai
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import json
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from langchain.memory import VectorStoreRetrieverMemory
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## Read the environment variables
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dotenv.load_dotenv('.env')
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openai.api_key = os.getenv('OPENAI_API_KEY')
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embedding_model = os.getenv('EMBEDDING_ENGINE')
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convo_length = int(os.getenv('CONVO_LENGTH_TO_FETCH'))
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llm_model = os.getenv('LLM_MODEL')
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debug=False
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if os.getenv('DEBUG') == 'True':
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debug=True
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pinecone_api_key = os.getenv('PINECONE_API_KEY')
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pinecone_env = os.getenv('PINECONE_REGION')
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environment=pinecone_env
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)
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vector_db = pinecone.Index(pinecone_index)
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file_path = os.getenv('GAME_DOCS_FOLDER')
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file_name = os.getenv('GAME_DOCS_FILE')
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game_index = os.getenv('GAME_ID_INDEX')
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def timestamp_to_datetime(unix_time):
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return datetime.datetime.fromtimestamp(unix_time).strftime("%A, %B %d, %Y at %I:%M%p %Z")
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vector_db.upsert(payload)
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return(llm_output)
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def get_game_details(game_id):
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file_data = open_file(f"{file_path}/{game_index}")
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tmp_json = json.loads(file_data)
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for json_item in tmp_json["game_details"]:
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if json_item["game_id"] == game_id:
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return json_item
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return "Not Found"
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def populate_prompt(game_id, splits):
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prompt_text = list()
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def initialize_game(game_id, user_id, user_input):
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game_details = get_game_details(game_id)
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whole_prompt = populate_prompt(game_id, game_details["splits"])
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if debug:
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print(whole_prompt[:1000])
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whole_prompt = whole_prompt.replace("<<USER_INPUT_MSG>>", user_input)
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if debug:
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print(whole_prompt[:1000])
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llm_prompt_op = call_gpt(whole_prompt)
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#print(llm_prompt_op.choices[0]["message"]["content"])
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fname="prompt_" + game_id + "_" + user_id + ".txt"
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