app.py

import os
import json
import httpx
import gradio as gr
import uvicorn
from fastapi import FastAPI, Request, Header, HTTPException, File, UploadFile
from fastapi.responses import JSONResponse, StreamingResponse, FileResponse
import time

# ---------------------------------------------------------------------
# Configuration
# ---------------------------------------------------------------------
BYTEZ_CHAT_URL   = "https://api.bytez.com/models/v2/openai/v1/chat/completions "
BYTEZ_MODELS_URL = "https://api.bytez.com/models/v2/list/models "
BYTEZ_TTS_URL    = "https://api.bytez.com/models/v2/openai/tts-1-hd"
BYTEZ_STT_URL    = "https://api.bytez.com/models/v2/openai/whisper-1"
BYTEZ_AUTH  = os.getenv("BYTEZ_API_KEY")
LOCAL_API_KEY = os.getenv("LOCAL_API_KEY")

# ---------------------------------------------------------------------
# FastAPI backend
# ---------------------------------------------------------------------
api = FastAPI(title="Bytez → OpenAI Proxy")

def check_key(auth: str | None):
    if not auth or not auth.startswith("Bearer "):
        raise HTTPException(status_code=401, detail="Missing or invalid API key")
    user_key = auth.split("Bearer ")[1].strip()
    if LOCAL_API_KEY and user_key != LOCAL_API_KEY:
        raise HTTPException(status_code=403, detail="Unauthorized API key")

# ---------------------------------------------------------------------
# Root / health
# ---------------------------------------------------------------------
@api.get("/")
def root():
    return {"status": "ok", "message": "Bytez proxy running"}

# ---------------------------------------------------------------------
# /v1/models → must look OpenAI-style
# ---------------------------------------------------------------------
@api.get("/v1/models")
async def models(authorization: str = Header(None)):
    check_key(authorization)
    if not BYTEZ_AUTH:
        raise HTTPException(status_code=500, detail="Server BYTEZ_API_KEY not configured")
    async with httpx.AsyncClient(timeout=30) as c:
        r = await c.get(BYTEZ_MODELS_URL, headers={"Authorization": BYTEZ_AUTH})
    try:
        data = r.json()
    except json.JSONDecodeError:
        raise HTTPException(status_code=502, detail="Upstream returned invalid JSON")
    # Transform Bytez format → OpenAI format
    models_list = [
        {"id": m.get("id") or m.get("name"), "object": "model"}
        for m in (data if isinstance(data, list) else data.get("data", []))
    ]
    return JSONResponse(
        {"object": "list", "data": models_list},
        headers={"Access-Control-Allow-Origin": "*"}
    )

# ---------------------------------------------------------------------
# /v1/chat/completions
# ---------------------------------------------------------------------
@api.post("/v1/chat/completions")
async def chat(request: Request, authorization: str = Header(None)):
    check_key(authorization)
    if not BYTEZ_AUTH:
        raise HTTPException(status_code=500, detail="Server BYTEZ_API_KEY not configured")
    payload = await request.json()
    stream = payload.get("stream", False)
    headers = {
        "Authorization": BYTEZ_AUTH,
        "Content-Type": "application/json",
    }
    async def event_stream():
        async with httpx.AsyncClient(timeout=120) as client:
            async with client.stream("POST", BYTEZ_CHAT_URL, headers=headers, json=payload) as upstream:
                async for line in upstream.aiter_lines():
                    line = line.strip()
                    if not line:
                        continue
                    if line.startswith("data: "):
                        json_str = line[6:]
                    else:
                        json_str = line
                    try:
                        chunk = json.loads(json_str)
                    except json.JSONDecodeError:
                        continue
                    if json_str == "[DONE]":
                        yield "data: [DONE]\n\n"
                        break
                    content = ""
                    if "token" in chunk:
                        content = chunk["token"]
                    elif "choices" in chunk and len(chunk["choices"]) > 0:
                        delta = chunk["choices"][0].get("delta", {})
                        content = delta.get("content", "")
                    elif "text" in chunk:
                        content = chunk["text"]
                    else:
                        content = str(chunk)
                    openai_chunk = {
                        "id": "chatcmpl-proxy-stream",
                        "object": "chat.completion.chunk",
                        "created": int(time.time()),
                        "model": payload.get("model", "unknown"),
                        "choices": [
                            {
                                "index": 0,
                                "delta": {"role": "assistant", "content": content},
                                "finish_reason": None,
                            }
                        ],
                    }
                    yield f"data: {json.dumps(openai_chunk)}\n\n"
        yield "data: [DONE]\n\n"

    if stream:
        return StreamingResponse(
            event_stream(),
            media_type="text/event-stream",
            headers={"Access-Control-Allow-Origin": "*"}
        )
    async with httpx.AsyncClient(timeout=120) as c:
        r = await c.post(BYTEZ_CHAT_URL, headers=headers, json=payload)
    try:
        data = r.json()
    except json.JSONDecodeError:
        raise HTTPException(status_code=502, detail="Upstream returned invalid JSON")
    if "choices" not in data:
        content = (
            data.get("output")
            or data.get("response")
            or data.get("message")
            or str(data)
        )
        data = {
            "id": "chatcmpl-proxy",
            "object": "chat.completion",
            "choices": [
                {"index": 0, "message": {"role": "assistant", "content": content}}
            ],
        }
    return JSONResponse(data, headers={"Access-Control-Allow-Origin": "*"})

# ---------------------------------------------------------------------
# /v1/tts (Text-to-Speech)
# ---------------------------------------------------------------------
@api.post("/v1/tts")
async def tts(request: Request, authorization: str = Header(None)):
    check_key(authorization)
    if not BYTEZ_AUTH:
        raise HTTPException(status_code=500, detail="Server BYTEZ_API_KEY not configured")
    payload = await request.json()
    text = payload.get("text", "")
    if not text:
        raise HTTPException(status_code=400, detail="Text not provided for TTS")
    headers = {
        "Authorization": BYTEZ_AUTH,
        "Content-Type": "application/json",
    }
    async with httpx.AsyncClient(timeout=120) as c:
        r = await c.post(BYTEZ_TTS_URL, headers=headers, json={"text": text})
    if r.status_code != 200:
        raise HTTPException(status_code=r.status_code, detail="TTS request failed")
    audio_data = r.content
    return StreamingResponse(io.BytesIO(audio_data), media_type="audio/wav")

# ---------------------------------------------------------------------
# /v1/stt (Speech-to-Text)
# ---------------------------------------------------------------------
@api.post("/v1/stt")
async def stt(file: UploadFile = File(...), authorization: str = Header(None)):
    check_key(authorization)
    if not BYTEZ_AUTH:
        raise HTTPException(status_code=500, detail="Server BYTEZ_API_KEY not configured")
    headers = {"Authorization": BYTEZ_AUTH}
    file_content = await file.read()
    files = {"file": (file.filename, file_content, file.content_type)}

    async with httpx.AsyncClient(timeout=120) as c:
        r = await c.post(BYTEZ_STT_URL, headers=headers, files=files)

    try:
        data = r.json()
    except json.JSONDecodeError:
        raise HTTPException(status_code=502, detail="Upstream returned invalid JSON")

    transcript = data.get("transcription", "")
    return {"transcription": transcript}

# ---------------------------------------------------------------------
# Minimal Gradio UI (to make HF Space start)
# ---------------------------------------------------------------------
with gr.Blocks() as ui:
    gr.Markdown("### ✅ Jwero Bytez → OpenAI Proxy\n"
                "Endpoints: `/v1/models`, `/v1/chat/completions`, `/v1/tts`, `/v1/stt`")

demo = gr.mount_gradio_app(api, ui, path="/")

if __name__ == "__main__":
    uvicorn.run(demo, host="0.0.0.0", port=7860)