app.py

import os
import re
import json
import logging
import requests
from typing import Dict
from uuid import uuid4
from concurrent.futures import ThreadPoolExecutor, as_completed
from flask import Flask, request, Response, jsonify, send_from_directory
from webscout.Provider.Deepinfra import DeepInfra

# -------------------- Flask & Config Setup --------------------
app = Flask(__name__)
AUDIO_DIR = "static/audio"
os.makedirs(AUDIO_DIR, exist_ok=True)

# -------------------- Logging Setup --------------------
logging.basicConfig(
    level=logging.INFO,
    format="%(asctime)s | %(levelname)s | %(name)s | %(message)s",
    handlers=[
        logging.StreamHandler()
    ]
)
logger = logging.getLogger("TrueSyncAI")

# -------------------- AI Model Setup --------------------
SYSTEM_PROMPT = os.getenv("SYSTEM_PROMPT")
VOICE = os.getenv("VOICE")
BASE_MODEL = DeepInfra(is_conversation=False, update_file=False, system_prompt=SYSTEM_PROMPT)


# -------------------- TTS Generator --------------------

def generate_tts(text:str, verbose:bool = True):
    PROVIDER_URL: str = "https://www.openai.fm/api/generate"
    headers = {
        'sec-ch-ua-platform': '"Windows"',
        'Referer': 'https://www.openai.fm/',
        'sec-ch-ua': '"Microsoft Edge";v="137", "Chromium";v="137", "Not/A)Brand";v="24"',
        'sec-ch-ua-mobile': '?0',
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/137.0.0.0 Safari/537.36 Edg/137.0.0.0',
        'DNT': '1',
        'Range': 'bytes=0-',
    }
    
    def _remove_emojis(text):
        emoji_pattern = re.compile(
            "["
            "\U0001F600-\U0001F64F"  # Emoticons
            "\U0001F300-\U0001F5FF"  # Symbols & Pictographs
            "\U0001F680-\U0001F6FF"  # Transport & Map symbols
            "\U0001F700-\U0001F77F"  # Alchemical Symbols
            "\U0001F780-\U0001F7FF"  # Geometric Shapes Extended
            "\U0001F800-\U0001F8FF"  # Supplemental Arrows-C
            "\U0001F900-\U0001F9FF"  # Supplemental Symbols and Pictographs
            "\U0001FA00-\U0001FA6F"  # Chess Symbols
            "\U0001FA70-\U0001FAFF"  # Symbols and Pictographs Extended-A
            "\U00002700-\U000027BF"  # Dingbats
            "\U000024C2-\U0001F251"  # Enclosed characters
            "]+", flags=re.UNICODE)
        return emoji_pattern.sub(r'', text).strip()
    
    def _generate_audio_chunk(text: str, chunk_number: int) -> tuple[int, bytes]:
        """
        Generate audio for a single text chunk.

        Args:
            text (str): The text chunk to convert.
            chunk_number (int): The sequence number of the chunk.

        Returns:
            tuple[int, bytes]: Chunk number and audio data.

        Raises:
            TTSRequestError: If the request fails.
        """
        params = {
            'input': _remove_emojis(text),
            'prompt': VOICE,
            'voice': 'alloy',
            'generation': str(uuid4()),
        }
        if verbose:logger.info(f"Processing Text: {params['input'][:70]}...")
        while True:
            try:
                response = requests.get(
                    PROVIDER_URL,
                    params=params,
                    headers=headers
                )
                response.raise_for_status()

                if response.content:
                    if verbose:
                        logger.info(f"Chunk {chunk_number} processed successfully.")
                    return chunk_number, response.content

                if verbose:
                    logger.info(f"No data received for chunk {chunk_number}.")

            except Exception as e:
                if verbose:
                    logger.info(f"Error processing chunk {chunk_number}: {e}")
                time.sleep(1)

    def _split_text_by_fullstop(text:str, max_length:int = 800):
        parts = []
        while len(text) > max_length:
            # Find the last period (.) within the first max_length characters
            split_index = text.rfind('.', 0, max_length)
            if split_index == -1:
                # If there's no full stop, force split at max_length
                split_index = max_length
            else:
                split_index += 1  # Include the period in the current part

            part = text[:split_index].strip()
            parts.append(part)
            text = text[split_index:].strip()
        if text:
            parts.append(text)
        return parts

    sentences = _split_text_by_fullstop(text)

    try:
        with ThreadPoolExecutor() as executor:
            futures = {
                executor.submit(_generate_audio_chunk, sentence.strip(), i): i
                for i, sentence in enumerate(sentences, start=1)
            }

            audio_chunks: Dict[int, bytes] = {}

            for future in as_completed(futures):
                chunk_num = futures[future]
                try:
                    part_number, audio_data = future.result()
                    audio_chunks[part_number] = audio_data
                except Exception as e:
                    if verbose:
                        logger.info(f"Failed to generate audio for chunk {chunk_num}: {e}")

            filename = f"{uuid4().hex}.wav"
            filepath = os.path.join(AUDIO_DIR, filename)
            with open(filepath, 'wb') as f:
                for chunk_num in sorted(audio_chunks.keys()):
                    f.write(audio_chunks[chunk_num])

            if verbose:
                logger.info(f"TTS audio generated: {filename}")
            return f"static/audio/{filename}"

    except Exception as e:
        logger.exception(f"Failed to generate audio: {e}")
    return None

# -------------------- Chat Route --------------------
@app.route("/chat", methods=["POST"])
def chat():
    try:
        data = request.get_json(force=True)
        prompt = str(data.get("prompt", "")).strip()
        if not prompt:
            logger.warning("Missing prompt in request")
            return jsonify({"error": "Missing prompt"}), 400

        logger.info(f"Received prompt: {prompt[:60]}...")

        def generate():
            collected_response = ""
            try:
                for chunk in BASE_MODEL.chat(prompt=prompt, stream=True):
                    collected_response += chunk
                    yield f"data: {json.dumps({'response': chunk})}\n\n"

                # After all chunks are sent
                audio_url = generate_tts(collected_response)
                yield f"data: {json.dumps({'done': True, 'full_response': collected_response, 'audio_url': audio_url})}\n\n"

            except Exception as stream_err:
                logger.exception("Error during streaming chat response")
                yield f"data: {json.dumps({'error': 'Streaming error occurred'})}\n\n"

        return Response(generate(), mimetype='text/event-stream')

    except Exception as e:
        logger.exception("Chat endpoint failed")
        return jsonify({"error": str(e)}), 500

# -------------------- Realtime Chat Route --------------------
@app.route("/realtime", methods=["POST"])
def realtime():
    try:
        data = request.get_json(force=True)
        prompt = str(data.get("prompt", "")).strip()
        if not prompt:
            logger.warning("Missing prompt in request")
            return jsonify({"error": "Missing prompt"}), 400

        logger.info(f"Received prompt: {prompt[:60]}...")

        response = BASE_MODEL.chat(prompt=prompt, stream=False)
        print(f"Response: {response}")
        audio_url = generate_tts(response)
        print(f"Audio URL: {audio_url}")
        return jsonify(f"data: {json.dumps({'done': True, 'full_response': response, 'audio_url': audio_url})}")

    except Exception as e:
        logger.exception("Chat endpoint failed")
        return jsonify({"error": str(e)}), 500

# -------------------- Serve Audio --------------------
@app.route("/static/audio/<filename>")
def serve_audio(filename):
    try:
        response = send_from_directory(AUDIO_DIR, filename)
        response.headers['Cache-Control'] = 'public, max-age=3600'
        logger.info(f"Serving audio file: {filename}")
        return response
    except Exception as e:
        logger.exception(f"Failed to serve audio: {filename}")
        return jsonify({"error": "Audio file not found"}), 404


# -------------------- Health Check --------------------
@app.route("/")
def index():
    return "🚀 TrueSyncAI Streaming API is live!"


# -------------------- Run Server --------------------
if __name__ == "__main__":
    app.run(host="0.0.0.0", port=7860)