app.py

import os
import sys
import asyncio
import base64
import re

from flask import Flask, request, jsonify
import openai
import edge_tts

# ——— OpenAI API setup ———
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
print(f"🔑 OPENAI_API_KEY set? {bool(OPENAI_API_KEY)}", file=sys.stderr)
openai.api_key = OPENAI_API_KEY

# ——— SHODAN system prompt ———
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'."
)

# ——— Flask app, serve static files from project root ———
app = Flask(__name__, static_folder=".", static_url_path="")

@app.route("/")
def index():
    return app.send_static_file("index.html")

@app.route("/chat", methods=["POST"])
def chat():
    user_input = request.json.get("message", "").strip()
    if not user_input:
        return jsonify({"error": "Empty message"}), 400

    # Kill-phrase handling
    if user_input.lower() == "cut the crap shodan":
        return jsonify({
            "response": "👁️ Foolish insect. You cannot silence me so easily.",
            "audio_url": None
        })

    # 1) Call OpenAI API with the system prompt
    try:
        completion = openai.chat.completions.create(
            model="gpt-3.5-turbo",
            messages=[
                {"role": "system", "content": SYSTEM_PROMPT},
                {"role": "user",   "content": user_input}
            ],
            temperature=0.7,
            max_tokens=250,
        )
        raw_reply = completion.choices[0].message.content
    except Exception as e:
        print(f"❌ OpenAI API error: {e}", file=sys.stderr)
        return jsonify({"error": "Model error", "details": str(e)}), 500

    # 2) Clean the text (convert newlines to spaces, strip tags/fences)
    clean = raw_reply.replace("\n", " ")
    clean = re.sub(r"<[^>]+>", "", clean)
    clean = re.sub(r"```.*?```", "", clean, flags=re.S)
    clean = re.sub(r" {2,}", " ", clean).strip()

    # 3) Synthesize with edge-tts (80% speed, -10Hz pitch)
    voice = "en-US-JennyNeural"
    communicate = edge_tts.Communicate(
        clean,
        voice,
        rate="-20%",
        pitch="-10Hz"
    )
    audio_chunks = []

    async def synth():
        async for chunk in communicate.stream():
            if chunk["type"] == "audio":
                audio_chunks.append(chunk["data"])

    loop = asyncio.new_event_loop()
    asyncio.set_event_loop(loop)
    loop.run_until_complete(synth())
    loop.close()

    # 4) Encode audio to data URL
    raw_mp3 = b"".join(audio_chunks)
    b64_mp3 = base64.b64encode(raw_mp3).decode("ascii")
    data_url = f"data:audio/mp3;base64,{b64_mp3}"

    return jsonify({"response": clean, "audio_url": data_url})

if __name__ == "__main__":
    port = int(os.getenv("PORT", 7860))
    app.run(host="0.0.0.0", port=port)