import openai # Setup openai.api_key = 'xxxxxxxxxxxxxxxxxxxxxx' openai.api_base = "xxxxxxxxxxxxxxxxxxxxxx" openai.api_version = '2024-08-20' # Ensure this is correct def test_openai(): try: response = openai.Image.create( prompt="A dog in rain image", model="dall-e-3", # Try with a different model ifneeded n=1, size="1024x1024" )…
I want to use ChatOpenAI from langchain-openai package to communicate with my local LM Studio server on Ubuntu 22. I followed docs and came up with this - which is a standard way: from langchain_openai import ChatOpenAI from dotenv import…
I've created an OpenAI-powered platform for teachers in my district to create AI Bots that have thematic chats with students (i.e. why is socialism so polarizing in the US, etc). These chats are saved in a database, and a teacher…
I want to create async func for transcribing telegram voices (.ogg files), but when i try send request to OpenAI API i recive error: Error code: 400 - {'error': {'message': "Unrecognized file format. Supported formats: ['flac', 'm4a', 'mp3', 'mp4', 'mpeg',…
I'm creating a AI chat using OpenAI API, i following this tutorial but the thing is when i made the call to the api/chat/sendMessage.js i get the 404 error, idk what to do, i made several OpenAI keys and still…
I am trying to get values from openai json mode for a project. I tried json package, bulit in parsing, etc. but i get TypeError: the JSON object must be str, bytes or bytearray, not ChatCompletionMessage json.decoder.JSONDecodeError: Expecting value: line…
I have some problems with my Azure Openai.. When i use my second Recource Group in westus (my first one is germany), i always get the folowing error: Error code: 404 - {'error': {'code': '404', 'message': 'Resource not found'}} My…
from flask import Flask, request, jsonify, send_from_directory import openai from openai import OpenAI import os app = Flask(__name__) openai.api_key = 'sk-' # I added my key here. @app.route('/') def index(): return send_from_directory('.', 'index.html') @app.route('/analyze', methods=['POST']) def analyze_cv(): if 'cv' not…
I have a mongoDB that stores user chat history using their session ID. I need to pass this history to ConversationRetrievalChain, using the ConversationBufferMemory. How can I transform/ insert the history into a new ConversationBufferMemory?
I have an app that uses OpenAI and like many others my key was recently compromised. I have this simple code: const functions = require('firebase-functions'); const OpenAI = require("openai"); const openai = new OpenAI({ apiKey: functions.config().openai.key, }); exports.generateText = functions.https.onCall(async…