Delete app.py

app.py

@@ -1,71 +0,0 @@
-from flask import Flask, request, jsonify, send_file
-from TTS.api import TTS
-from transformers import AutoModelForCausalLM, AutoTokenizer
-import torch
-import uuid
-import os
-
-app = Flask(__name__)
-chat_history = []
-
-# Load LLM
-tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2")
-model = AutoModelForCausalLM.from_pretrained(
-    "mistralai/Mistral-7B-Instruct-v0.2",
-    torch_dtype=torch.float16,
-    device_map="auto"
-)
-
-# Load TTS (robotic-feminine via VCTK)
-tts = TTS(model_name="tts_models/en/vctk/vits", gpu=torch.cuda.is_available())
-
-# SHODAN-style prompt
-def generate_shodan_response(user_input):
-    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'."
-    )
-    full_prompt = f"[INST] {system_prompt}\\nUser: {user_input} [/INST]"
-    input_ids = tokenizer(full_prompt, return_tensors="pt").input_ids.to(model.device)
-    with torch.no_grad():
-        output = model.generate(input_ids, max_new_tokens=300, temperature=0.9, do_sample=True)
-    response = tokenizer.decode(output[0], skip_special_tokens=True).split("User:")[-1].strip()
-    return response
-
-@app.route("/")
-def index():
-    with open("index.html", "r", encoding="utf-8") as f:
-        return f.read()
-
-@app.route("/chat", methods=["POST"])
-def chat():
-    user_input = request.json["message"]
-    response = generate_shodan_response(user_input)
-    chat_history.append({"sender": "You", "text": user_input})
-    chat_history.append({"sender": "SHODAN", "text": response})
-    return jsonify({"response": response})
-
-@app.route("/voice", methods=["POST"])
-def voice():
-    text = request.json["text"]
-    filename = f"shodan_{uuid.uuid4().hex}.wav"
-    tts.tts_to_file(text=text, file_path=filename)
-    return jsonify({"audio_url": "/" + filename})
-
-@app.route("/reset", methods=["POST"])
-def reset():
-    chat_history.clear()
-    return jsonify({"message": "Memory purge complete. All prior contamination erased."})
-
-# Serve static audio/image files
-@app.route("/<path:filename>")
-def serve_static_file(filename):
-    return send_file(filename)
-
-if __name__ == "__main__":
-    app.run(host="0.0.0.0", port=7860)