Update app.py

app.py

@@ -2,27 +2,29 @@ import os
 import sys
 import asyncio
 import base64
+
 from flask import Flask, request, jsonify
-import requests
+import openai
 import edge_tts
 
-# ——— Inference API endpoint & token ———
-HF_API_URL = "https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.1"
-HF_TOKEN   = os.getenv("HF_TOKEN")
-print(f"⚙️ HF_TOKEN set? {bool(HF_TOKEN)}", file=sys.stderr)
+# ——— 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. "
+    "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 setup (serve static files from repo root) ———
+# ——— Flask app, serve static files from project root ———
 app = Flask(__name__, static_folder=".", static_url_path="")
 
 @app.route("/")
@@ -35,39 +37,30 @@ def chat():
     if not user_input:
         return jsonify({"error": "Empty message"}), 400
 
-    # kill phrase handling
+    # 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
         })
 
-    # build inference payload
-    payload = {
-        "inputs": [
-            {"role": "system", "content": SYSTEM_PROMPT},
-            {"role": "user",   "content": user_input}
-        ],
-        "parameters": {
-            "max_new_tokens": 250,
-            "temperature": 0.7
-        }
-    }
-    headers = {
-        "Authorization": f"Bearer {HF_TOKEN}",
-        "Content-Type": "application/json"
-    }
-
-    # call HF inference API
-    hf_resp = requests.post(HF_API_URL, headers=headers, json=payload)
-    if hf_resp.status_code != 200:
-        print(f"❌ HF inference failed: {hf_resp.status_code} {hf_resp.text}", file=sys.stderr)
-        return jsonify({"error": "Model error", "details": hf_resp.text}), 500
-
-    data = hf_resp.json()
-    reply = data.get("generated_text") or data[0].get("generated_text", "")
+    # call OpenAI ChatCompletion with a cost-efficient model
+    try:
+        resp = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo",
+            messages=[
+                {"role": "system", "content": SYSTEM_PROMPT},
+                {"role": "user",   "content": user_input}
+            ],
+            temperature=0.7,
+            max_tokens=250,
+        )
+        reply = resp.choices[0].message.content.strip()
+    except Exception as e:
+        print(f"❌ OpenAI API error: {e}", file=sys.stderr)
+        return jsonify({"error": "Model error", "details": str(e)}), 500
 
-    # —— Edge-TTS SSML robotic-female voice ——  
+    # —— Edge-TTS SSML robotic female voice ——  
     voice_name = "en-US-JennyNeural"
     ssml = (
         "<speak xmlns='http://www.w3.org/2001/10/synthesis' "