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import codecs | |
import json | |
import time | |
import openai | |
import os | |
from dotenv import load_dotenv | |
load_dotenv() | |
class Llm: | |
def __init__(self): | |
print("### Step 1: Get the Assistant's ID ###") | |
# OpenAI API キーの設定 | |
self.client = openai.OpenAI() | |
openai.api_key = os.getenv('OPENAI_API_KEY') | |
self.assistant_id = os.getenv('OPENAI_ASSISTANT_ID') | |
self.assistant = self.client.beta.assistants.retrieve(self.assistant_id) | |
print(self.assistant) | |
assistant_description = self.assistant.description | |
assistant_model = self.assistant.model | |
if assistant_description is None: | |
assistant_description = f"このアシスタントは、OpenAI APIで {assistant_model} を使用して作成されました。" | |
def setup(self): | |
load_dotenv() | |
self.api_key = os.getenv('OPENAI_API_KEY') | |
self.assistant_id = os.getenv('OPENAI_ASSISTANT_ID') | |
self.client = openai.OpenAI() | |
def retrieve_assistant(self): | |
self.assistant = self.client.beta.assistants.retrieve(self.assistant_id) | |
return self.assistant | |
# def openai_completion(self, prompt): | |
# import random | |
# import csv | |
# with open('flagged/log.csv', 'r') as file: | |
# reader = csv.DictReader(file) | |
# logs = [row for row in reader] | |
# random_log = random.choice(logs) | |
# answer = random_log['output'] | |
# return answer | |
def chatcompletion(self, prompt): | |
try: | |
"### Step 2: Create a Thread ###" | |
empty_thread = self.client.beta.threads.create() | |
thread_id = empty_thread.id | |
print(empty_thread) | |
print("### Step 3: Add a Message to the Thread ###") | |
thread = self.client.beta.threads.retrieve(thread_id) | |
print(thread) | |
print("### Step 4: Add a Message to the Thread ###") | |
thread_message = self.client.beta.threads.messages.create( | |
thread_id, | |
role="user", | |
content=prompt, | |
) | |
message_id = thread_message.id | |
print(thread_message) | |
print("### Step 5: Retrieve the Message ###") | |
message = self.client.beta.threads.messages.retrieve( | |
message_id=message_id, | |
thread_id=thread_id, | |
) | |
print(message) | |
print("### Step 6: Run the Assistant ###") | |
run = self.client.beta.threads.runs.create( | |
thread_id=thread.id, | |
assistant_id=self.assistant.id, | |
) | |
print("### Step 7: Wait for the Assistant to Finish ###") | |
def wait_on_run(run, thread): | |
while run.status == "queued" or run.status == "in_progress": | |
run = self.client.beta.threads.runs.retrieve( | |
thread_id=thread.id, | |
run_id=run.id, | |
) | |
time.sleep(0.5) | |
return run | |
run = wait_on_run(run, thread) | |
print(run) | |
print("### Step 8: Retrieve the Messages ###") | |
messages = self.client.beta.threads.messages.list( | |
thread_id=thread.id | |
) | |
messages_str = json.dumps(messages.dict(), indent=2) | |
print(codecs.decode(messages_str, 'unicode-escape')) | |
print("### Step 9: Retrieve the Assistant's Response ###") | |
answers = [] | |
for message in messages.data: | |
if message.role == "assistant": | |
if message.content[0].type == "text": | |
answers.append(message.content[0].text.value + "\n\n") | |
else: | |
answers.append("Content is not text.\n\n") | |
elif message.role == "user": | |
break | |
# answersを逆順にする | |
answers.reverse() | |
return "".join(answers) | |
except Exception as e: | |
print(f"スレッドの作成中にエラーが発生しました: {e}") | |
raise |