I tried to change the import to just “import OpenAI from ‘openai’” which still worked for the npm run but continued to give the same error otherwise. The stack trace is just to the first line of the html fil
Sign up for the OpenAI API Step 2: Setup the development environmentCreate an empty folder, for instance ‘chat-gpt-app’, and open it in an IDE like VSCode. Now open the terminal in VSCode and type the below command to create a Vite app with a React template. npm create vite@...
import openai openai.api_key = "YOUR_API_KEY" #Insert you API key here messages = [] system_msg = input("What type of chatbot would you like to create? ") messages.append({"role": "system", "content": system_msg}) print("Say hello to your new assistant!") while input != "qu...
If we want to stream the answer word by word, we can instead use stream=True and print the response chunk by chunk: from ollama import chat stream = chat( model="gemma3", messages=[{"role": "user", "content": "Why is the sky blue?"}], stream=True, ) for chunk in stream: ...
Similar to the OpenAI API, you can create an asynchronous chat function and then write streaming code using the async function, allowing for efficient and fast interactions with the model. import asyncio from ollama import AsyncClient async def chat(): """ Stream a chat from Llama using the...
GPU Droplet and run the code. We have added a link to the references section that will guide you through creating a GPU Droplet and configuring it using VSCode. To begin, we will need a PDF, Markdown, or any documentation files. Make sure to create a separate folder to store the PDFs...
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OpenAI:ApiKey Your OpenAI key OpenAI:ChatModelId Model to use (i.e. gpt-3.5-turbo) i.e: dotnet user-secrets set “OpenAI:ChatModelId” “gpt-3.5-turbo” 3. Open your favorite IDE i.e.: VSCode Open Folder in the root repository Select Testing Icon on the left menu Look fo...
Open the server.py file in VSCode and then paste the following lines of code. from fastapi import FastAPI app = FastAPI() @app.get("/") def read_root(): return {"Hello": "World"} Now, go back to Windows Terminal and install FastAPI and Uvicorn. pip install fastapi uvicorn Once ...
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