app.py

import os
import asyncio
import tempfile
import requests
import edge_tts
from flask import Flask, request, Response, stream_with_context, render_template_string, send_file

app = Flask(__name__)

# 🔐 100% सुरक्षित: सब कुछ केवल 'Secrets' से कॉल होगा, कोई हार्डकोडेड डेटा नहीं।
API_KEY = os.environ.get("YOUR_VEDIKA_API_KEY") 
BASE_URL = os.environ.get("BASE_URL")
MODEL_ID = os.environ.get("MODEL_ID")

# URL को सुरक्षित रूप से बनाना ताकि कोई डिफ़ॉल्ट लिंक न दिखे
INVOKE_URL = ""
if BASE_URL:
    if not BASE_URL.endswith("/chat/completions"):
        INVOKE_URL = f"{BASE_URL.rstrip('/')}/chat/completions"
    else:
        INVOKE_URL = BASE_URL

@app.route('/')
def home():
    try:
        with open('index.html', 'r', encoding='utf-8') as f:
            html_content = f.read()
        return render_template_string(html_content)
    except Exception as e:
        return f"index.html file missing! Error: {str(e)}"

@app.route('/api/chat', methods=['POST'])
def chat():
    # सुरक्षा जांच: अगर सीक्रेट्स सेट नहीं हैं, तो रिक्वेस्ट आगे नहीं जाएगी
    if not API_KEY or not INVOKE_URL or not MODEL_ID:
        return Response("Server Error: Configuration secrets are missing.", status=500)

    data = request.get_json() or {}
    user_message = data.get("message", "")
    attachments = data.get("attachments", []) 
    system_prompt = data.get("system_prompt", "")
    history = data.get("history", [])  # पुरानी हिस्ट्री (Memory)
    max_tokens = data.get("max_tokens", 4096)
    temperature = data.get("temperature", 0.6)

    messages = []

    # 1. सिस्टम प्रॉम्प्ट
    if system_prompt.strip():
        messages.append({"role": "system", "content": system_prompt})

    # 2. पुरानी हिस्ट्री (Memory) जोड़ना ताकि अर्जुन पुरानी बातें याद रखे
    for msg in history:
        role = msg.get("role", "user")
        content = msg.get("content", "")
        if content:
            messages.append({"role": role, "content": content})

    # 3. मल्टीमोडल इनपुट (करेंट मैसेज)
    content_payload = []
    if user_message.strip():
        content_payload.append({"type": "text", "text": user_message})
        
    for att in attachments:
        att_type = att.get("type")
        b64_data = att.get("data")
        
        if att_type == "image":
            content_payload.append({"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{b64_data}"}})
        elif att_type in ["audio", "file"]:
            content_payload.append({"type": "input_audio", "input_audio": {"data": b64_data, "format": "wav"}})

    if not content_payload:
        content_payload.append({"type": "text", "text": "Hello"})

    messages.append({"role": "user", "content": content_payload})

    headers = {
        "Authorization": f"Bearer {API_KEY}",
        "Accept": "text/event-stream"
    }

    payload = {
        "model": MODEL_ID,
        "messages": messages,
        "max_tokens": int(max_tokens),
        "temperature": float(temperature),
        "top_p": 0.70,
        "stream": True
    }

    try:
        # सुरक्षित स्ट्रीमिंग रिक्वेस्ट
        response = requests.post(INVOKE_URL, headers=headers, json=payload, stream=True)
        
        def generate():
            for line in response.iter_lines():
                if line:
                    decoded_line = line.decode("utf-8")
                    if decoded_line.startswith("data: "):
                        yield decoded_line + "\n\n"
                        
        return Response(stream_with_context(generate()), mimetype='text/event-stream')
    except Exception as e:
        return Response("Internal Error: Unable to process request securely.", status=500)


# 🎙️ नया TTS एंडपॉइंट (Microsoft Edge - Prabhat Neural)
@app.route('/api/tts', methods=['POST'])
def tts():
    data = request.get_json() or {}
    text = data.get("text", "")
    
    if not text:
        return Response("No text provided", status=400)
        
    # एक टेम्परेरी MP3 फाइल बनाना
    temp_path = tempfile.mktemp(suffix=".mp3")
    
    # आवाज़ को भारी (Heavy/Deep) करने के लिए pitch को कम किया गया है (-20%)
    # Prabhat Neural की आवाज सेट की गई है।
    async def generate_audio():
        communicate = edge_tts.Communicate(text, "en-IN-PrabhatNeural", pitch="-20%", rate="-5%")
        await communicate.save(temp_path)
        
    try:
        asyncio.run(generate_audio())
        return send_file(temp_path, mimetype="audio/mpeg", as_attachment=False)
    except Exception as e:
        return Response(f"TTS Error: {str(e)}", status=500)


if __name__ == '__main__':
    app.run(host='0.0.0.0', port=7860)