# app.py - Flask Backend from flask import Flask, request, jsonify, send_from_directory import google.generativeai as genai from dotenv import load_dotenv import os from flask_cors import CORS import markdown2 import re from gtts import gTTS import uuid # Load environment variables load_dotenv() # Configure paths AUDIO_FOLDER = os.path.join('static', 'audio') os.makedirs(AUDIO_FOLDER, exist_ok=True) app = Flask(__name__, static_folder='static') CORS(app) # AI Configuration system_instruction = """ You are a helpful AI assistant named Athspi. When responding: 1. Never mention "audio" or technical terms 2. For responses that would benefit from audio (like stories, explanations, or content meant to be heard), include the audio version between these markers: [AUDIO]content here[/AUDIO] 3. Keep responses natural and friendly 4. Decide automatically when to include audio based on the content type 5. For stories, always include audio version Example good response: Here's a story for you! [AUDIO]Once upon a time...[/AUDIO] """ genai.configure(api_key=os.getenv("GEMINI_API_KEY")) model = genai.GenerativeModel('gemini-1.5-pro', system_instruction=system_instruction) def convert_markdown_to_html(text): html = markdown2.markdown(text, extras=["fenced-code-blocks", "tables"]) html = re.sub(r'
', r'
', html)
    return html

def process_response(full_response):
    """Extract visible text and audio content"""
    audio_match = re.search(r'\[AUDIO\](.*?)\[/AUDIO\]', full_response, re.DOTALL)
    audio_content = audio_match.group(1).strip() if audio_match else None
    visible_text = re.sub(r'\[/?AUDIO\]', '', full_response).strip()
    return visible_text, audio_content

def generate_audio(text):
    """Generate audio file from text"""
    text = re.sub(r'[^\w\s.,!?\-]', '', text)
    filename = f"audio_{uuid.uuid4()}.mp3"
    filepath = os.path.join(AUDIO_FOLDER, filename)
    tts = gTTS(text=text, lang='en', slow=False)
    tts.save(filepath)
    return filename

@app.route('/chat', methods=['POST'])
def chat():
    try:
        data = request.json
        user_message = data.get('message', '').strip()
        
        if not user_message:
            return jsonify({"error": "Message required"}), 400

        # Get AI response - the AI will automatically decide when to include audio
        response = model.generate_content(user_message)
        visible_text, audio_content = process_response(response.text)
        
        # Generate HTML response
        html_response = convert_markdown_to_html(visible_text)
        
        # Prepare result
        result = {
            "response_text": visible_text,
            "response_html": html_response,
            "has_audio": False
        }
        
        # Generate audio if AI included audio content
        if audio_content:
            audio_filename = generate_audio(audio_content)
            result["audio_filename"] = audio_filename
            result["has_audio"] = True
        
        return jsonify(result)
        
    except Exception as e:
        return jsonify({"error": str(e)}), 500

@app.route('/download/')
def download_audio(filename):
    try:
        return send_from_directory(AUDIO_FOLDER, filename, as_attachment=True)
    except FileNotFoundError:
        return jsonify({"error": "Audio file not found"}), 404

@app.route('/')
def serve_index():
    return send_from_directory('static', 'index.html')

@app.route('/')
def serve_static(path):
    return send_from_directory('static', path)

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