Gradio / FastAPI integration

from fastapi import FastAPI, Request
from synapsai import SynapsAI

app = FastAPI()
client = SynapsAI()  # reads SYNAPSAI_API_KEY from the environment

@app.post("/generate")
async def generate(req: Request):
    body = await req.json()
    prompt = body.get("prompt", "")
    resp = client.chat.completions.create(
        model="<YOUR_MODEL_ID>",
        messages=[{"role": "user", "content": prompt}],
        max_tokens=200,
    )
    return {"text": resp.choices[0].message.content}

import gradio as gr
from synapsai import SynapsAI

client = SynapsAI()

def generate(prompt: str) -> str:
    resp = client.chat.completions.create(
        model="<YOUR_MODEL_ID>",
        messages=[{"role": "user", "content": prompt}],
        max_tokens=200,
    )
    return resp.choices[0].message.content

demo = gr.Interface(fn=generate, inputs="text", outputs="text", title="SynapsAI Demo")
demo.launch()