app.py

from flask import Flask, request, jsonify, render_template
import google.generativeai as genai
import datetime
import os
import re
import random
print("CURRENT FOLDER:", os.getcwd())
if os.path.exists('templates'):
    print("'templates' folder FOUND!")
    print("Files inside:", os.listdir('templates'))
else:
    print("ERROR: 'templates' folder NOT FOUND. Did you name it 'template'?")

app = Flask(__name__)

MY_API_KEY = "PASTE_YOUR_GOOGLE_API_KEY_HERE" 
genai.configure(api_key=MY_API_KEY)

history = []

@app.route('/', methods=['GET'])
def dashboard():
    print("Loading the FINAL DASHBOARD...")
    return render_template('finaldashboard.html', predictions=history)

@app.route('/predict', methods=['POST'])
def predict():
    try:
        data = request.json
        brand = data.get('brand', 'Unknown')
        model_name = data.get('model', 'Car')
        year = int(data.get('year', 2024))
        engine = float(data['engine'])
        hp = float(data['hp'])

        try:
            model = genai.GenerativeModel('gemini-pro')
            prompt = (
                f"Estimate the market price in Indian Rupees (INR) for a used {year} {brand} {model_name}. "
                f"Specs: {engine}L Engine, {hp} Horsepower. "
                "Consider the specific model's luxury status and depreciation in India. "
                "Return ONLY the numeric value (e.g. 1500000)."
            )
            response = model.generate_content(prompt)
            text = response.text.strip()
            print(f"AI Valuing: {year} {brand} {model_name} -> {text}")
            
            match = re.search(r"[\d,]+", text)
            if match:
                final_price = float(match.group().replace(',', ''))
                status = "success_ai"
            else:
                raise Exception("No number found")
            
        except Exception:
            base = (hp * 2500) + (engine * 200000)
            if "mercedes" in brand.lower() or "bmw" in brand.lower():
                base *= 1.5
            final_price = max(100000, base)
            status = "success_math"

        history.insert(0, {
            "time": datetime.datetime.now().strftime("%H:%M:%S"), 
            "car": f"{year} {brand} {model_name}",
            "price": final_price
        })
        
        return jsonify({"estimated_price": final_price, "status": status})

    except Exception as e:
        return jsonify({"estimated_price": 0, "status": "error", "message": str(e)})

if __name__ == '__main__':
    app.run(host='0.0.0.0', port=5001, debug=True)