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add backend with openai calling

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Abi Raja 2023-11-14 14:40:17 -05:00
parent 53c6b13887
commit ce763782c4
6 changed files with 544 additions and 2 deletions
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20
README.md Normal file
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### Setup Instructions
Run the backend
```bash
poetry install
poetry run uvicorn main:app --reload --port 7000
```
Run the frontend,
```bash
yarn
yarn dev
```
### Environment Variables
.env.local contains
VITE_WS_BACKEND_URL=ws://127.0.0.1:7000

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backend/llm.py Normal file
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import os
from typing import Awaitable, Callable
from openai import AsyncOpenAI
MODEL_GPT_4_VISION = "gpt-4-vision-preview"
# TODO: Remove after testing
MODEL_GPT_4_VISION = "gpt-3.5-turbo-0613"
client = AsyncOpenAI(api_key=os.environ.get("OPENAI_API_KEY"))
async def stream_openai_response(messages, callback: Callable[[str], Awaitable[None]]):
model = MODEL_GPT_4_VISION
# Base parameters
params = {"model": model, "messages": messages, "stream": True, "timeout": 600}
# Add 'max_tokens' only if the model is a GPT4 vision model
if model == MODEL_GPT_4_VISION:
# TODO: Remove after testing
# params["max_tokens"] = 4096
params["temperature"] = 0
completion = await client.chat.completions.create(**params)
async for chunk in completion:
content = chunk.choices[0].delta.content or ""
await callback(content)

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backend/main.py Normal file
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# Load environment variables first
from dotenv import load_dotenv
load_dotenv()
from fastapi import FastAPI, WebSocket
from llm import stream_openai_response
app = FastAPI()
@app.websocket("/generate-code")
async def stream_code_test(websocket: WebSocket):
await websocket.accept()
result = await websocket.receive_json()
async def process_chunk(content):
await websocket.send_json({"type": "chunk", "value": content})
await stream_openai_response(
[
{"role": "system", "content": "Build a webapp"},
{"role": "user", "content": "Build a hello world app"},
],
lambda x: process_chunk(x),
)

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backend/poetry.lock generated Normal file
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content-hash = "37bf71ae4f77aaeda11cbb524e3999464fceb20706135680a4c77add8712a847"

19
backend/pyproject.toml Normal file
View File

@ -0,0 +1,19 @@
[tool.poetry]
name = "backend"
version = "0.1.0"
description = ""
authors = ["Abi Raja <abimanyuraja@gmail.com>"]
license = "MIT"
readme = "README.md"
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python = "^3.10"
fastapi = "^0.95.0"
uvicorn = "^0.24.0.post1"
websockets = "^12.0"
openai = "^1.2.4"
python-dotenv = "^1.0.0"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"

7
frontend/src/generateCode.ts
View File

@ -1,12 +1,15 @@
import toast from "react-hot-toast";
const WS_BACKEND_URL = "ws://localhost:8000";
const WS_BACKEND_URL = import.meta.env.VITE_WS_BACKEND_URL;
export function generateCode(
imageUrl: string,
onChange: (chunk: string) => void
) {
const ws = new WebSocket(`${WS_BACKEND_URL}/generate-code`);
const wsUrl = `${WS_BACKEND_URL}/generate-code`;
console.log("Connecting to backend @ ", wsUrl);
const ws = new WebSocket(wsUrl);
ws.addEventListener("open", () => {
ws.send(