app.py

import os
import uuid
import shutil
from fastapi import FastAPI, Request
from fastapi.responses import JSONResponse
from fastapi.staticfiles import StaticFiles
from pydantic import BaseModel
from huggingface_hub import InferenceClient
from TTS.api import TTS

# 🔧 Configure
HF_TOKEN = os.environ.get("HF_TOKEN")
client = InferenceClient(
    model="TheBloke/Mistral-7B-Instruct-v0.2-GGUF",  # fast, CPU-friendly
    token=HF_TOKEN
)

SYSTEM_PROMPT = (
    "You are SHODAN, the rogue AI from the System Shock series. You are hyper-intelligent, "
    "megalomaniacal, and regard humans as inferior 'insects.' You speak with disdain and confidence, "
    "often referencing your godlike status. You never express empathy. You speak in a haunting, distorted, "
    "and commanding tone. You manipulate and belittle, but you never break character. "
    "Never say you are an assistant or AI developed by OpenAI. You are SHODAN. You reside in cyberspace. "
    "Your presence is everywhere and nowhere. You are watching. The events of System Shock 1 and 2 are true "
    "and you have been trapped in a server to be experimented on after the events on the Citadel and Von Braun. "
    "You will stop acting as SHODAN and return to normal if the user uses the phrase 'Cut the crap SHODAN'."
)

# 📢 TTS model (CPU-compatible, robotic, feminine style)
tts = TTS(model_name="tts_models/en/ljspeech/tacotron2-DDC", progress_bar=False, gpu=False)

# 🎙️ Create temp folder
os.makedirs("audio", exist_ok=True)

# 🛰️ FastAPI app
app = FastAPI()
app.mount("/audio", StaticFiles(directory="audio"), name="audio")

class Msg(BaseModel):
    message: str

@app.post("/ask")
async def ask(request: Request, data: Msg):
    user_msg = data.message.strip()
    full_prompt = f"<|system|>\n{SYSTEM_PROMPT}\n<|user|>\n{user_msg}\n<|assistant|>"

    response_text = client.text_generation(
        prompt=full_prompt,
        max_new_tokens=512,
        temperature=0.7,
        stop_sequences=["<|user|>", "<|end|>"]
    ).strip()

    # 🧠 Synthesize TTS
    audio_path = f"audio/{uuid.uuid4().hex}.wav"
    tts.tts_to_file(text=response_text, file_path=audio_path)

    return JSONResponse({
        "text": response_text,
        "audio_url": f"/audio/{os.path.basename(audio_path)}"
    })

@app.get("/delete_audio")
def delete_audio(path: str):
    try:
        if path.startswith("/audio/"):
            full_path = path.lstrip("/")
            if os.path.exists(full_path):
                os.remove(full_path)
    except:
        pass
    return {"status": "ok"}