|
| 1 | +""" |
| 2 | +AutoValue Pro v1.0 - Enterprise Edition |
| 3 | +AI-Powered Car Price Prediction Tool |
| 4 | +Fast, Accurate & User-Friendly Desktop GUI |
| 5 | +""" |
| 6 | + |
| 7 | +import os, sys, threading |
| 8 | +import tkinter as tk |
| 9 | +from tkinter import messagebox |
| 10 | +import ttkbootstrap as tb |
| 11 | +from ttkbootstrap.constants import * |
| 12 | + |
| 13 | +import numpy as np |
| 14 | +from sklearn.linear_model import LinearRegression |
| 15 | + |
| 16 | + |
| 17 | +# ---------------------- UTIL ---------------------- |
| 18 | +def resource_path(file_name): |
| 19 | + base_path = getattr(sys, "_MEIPASS", os.path.dirname(os.path.abspath(__file__))) |
| 20 | + return os.path.join(base_path, file_name) |
| 21 | + |
| 22 | + |
| 23 | +# ---------------------- ML WORKER ---------------------- |
| 24 | +class PredictionWorker: |
| 25 | + def __init__(self, features, callbacks): |
| 26 | + self.features = features |
| 27 | + self.callbacks = callbacks |
| 28 | + self._running = True |
| 29 | + |
| 30 | + # Dummy trained model (demo) |
| 31 | + self.model = LinearRegression() |
| 32 | + X = np.array([ |
| 33 | + [1, 5000, 2015], |
| 34 | + [2, 3000, 2018], |
| 35 | + [3, 2000, 2020], |
| 36 | + [1, 8000, 2012], |
| 37 | + [2, 4000, 2016] |
| 38 | + ]) |
| 39 | + y = np.array([12000, 15000, 18000, 9000, 14000]) |
| 40 | + self.model.fit(X, y) |
| 41 | + |
| 42 | + def stop(self): |
| 43 | + self._running = False |
| 44 | + |
| 45 | + def run(self): |
| 46 | + try: |
| 47 | + if "progress" in self.callbacks: |
| 48 | + self.callbacks |
| 49 | + |
| 50 | + prediction = self.model.predict([self.features])[0] |
| 51 | + |
| 52 | + if "progress" in self.callbacks: |
| 53 | + self.callbacks |
| 54 | + |
| 55 | + if not self._running: |
| 56 | + return |
| 57 | + |
| 58 | + if "result" in self.callbacks: |
| 59 | + self.callbacks["result"](round(prediction, 2)) |
| 60 | + |
| 61 | + except Exception as e: |
| 62 | + if "error" in self.callbacks: |
| 63 | + self.callbacks["error"](str(e)) |
| 64 | + |
| 65 | + if "progress" in self.callbacks: |
| 66 | + self.callbacks |
| 67 | + |
| 68 | + |
| 69 | +# ---------------------- MAIN APP ---------------------- |
| 70 | +class AutoValueApp: |
| 71 | + APP_NAME = "AutoValue Pro" |
| 72 | + APP_VERSION = "1.0" |
| 73 | + |
| 74 | + def __init__(self): |
| 75 | + self.root = tb.Window(themename="darkly") |
| 76 | + self.root.title(f"{self.APP_NAME} v{self.APP_VERSION}") |
| 77 | + self.root.minsize(900, 550) |
| 78 | + |
| 79 | + try: |
| 80 | + self.root.iconbitmap(resource_path("logo.ico")) |
| 81 | + except: |
| 82 | + pass |
| 83 | + |
| 84 | + self.worker = None |
| 85 | + self.target_progress = 0 |
| 86 | + self.smooth_value = 0 |
| 87 | + |
| 88 | + self._build_ui() |
| 89 | + self._apply_styles() |
| 90 | + |
| 91 | + # ---------------------- UI ---------------------- |
| 92 | + def _build_ui(self): |
| 93 | + main = tb.Frame(self.root, padding=20) |
| 94 | + main.pack(fill=BOTH, expand=True) |
| 95 | + |
| 96 | + tb.Label( |
| 97 | + main, |
| 98 | + text="🚗 AutoValue Pro – Car Price Predictor", |
| 99 | + font=("Segoe UI", 22, "bold") |
| 100 | + ).pack(pady=(0, 6)) |
| 101 | + |
| 102 | + tb.Label( |
| 103 | + main, |
| 104 | + text="AI-Driven Used Car Price Estimation", |
| 105 | + font=("Segoe UI", 10, "italic"), |
| 106 | + foreground="#9ca3af" |
| 107 | + ).pack(pady=(0, 25)) |
| 108 | + |
| 109 | + form = tb.Frame(main) |
| 110 | + form.pack(fill=X, pady=10) |
| 111 | + |
| 112 | + # Inputs |
| 113 | + self.owner_var = tk.IntVar(value=1) |
| 114 | + self.km_var = tk.IntVar(value=3000) |
| 115 | + self.year_var = tk.IntVar(value=2018) |
| 116 | + |
| 117 | + tb.Label(form, text="Number of Owners").grid(row=0, column=0, sticky=W, pady=6) |
| 118 | + tb.Spinbox(form, from_=1, to=5, textvariable=self.owner_var, width=10).grid(row=0, column=1, padx=10) |
| 119 | + |
| 120 | + tb.Label(form, text="Kilometers Driven").grid(row=1, column=0, sticky=W, pady=6) |
| 121 | + tb.Entry(form, textvariable=self.km_var, width=15).grid(row=1, column=1, padx=10) |
| 122 | + |
| 123 | + tb.Label(form, text="Manufacturing Year").grid(row=2, column=0, sticky=W, pady=6) |
| 124 | + tb.Entry(form, textvariable=self.year_var, width=15).grid(row=2, column=1, padx=10) |
| 125 | + |
| 126 | + # Buttons |
| 127 | + btns = tb.Frame(main) |
| 128 | + btns.pack(pady=15) |
| 129 | + |
| 130 | + self.predict_btn = tb.Button( |
| 131 | + btns, text="🔮 Predict Price", bootstyle=SUCCESS, command=self.start_prediction |
| 132 | + ) |
| 133 | + self.predict_btn.pack(side=LEFT, padx=6) |
| 134 | + |
| 135 | + self.cancel_btn = tb.Button( |
| 136 | + btns, text="⏹ Cancel", bootstyle=DANGER, command=self.cancel, state=DISABLED |
| 137 | + ) |
| 138 | + self.cancel_btn.pack(side=LEFT, padx=6) |
| 139 | + |
| 140 | + # Progress |
| 141 | + self.progress = tb.Progressbar( |
| 142 | + main, maximum=100, bootstyle="success-striped" |
| 143 | + ) |
| 144 | + self.progress.pack(fill=X, pady=(20, 10)) |
| 145 | + |
| 146 | + # Result |
| 147 | + self.result_label = tb.Label( |
| 148 | + main, |
| 149 | + text="Predicted Price: —", |
| 150 | + font=("Segoe UI", 16, "bold"), |
| 151 | + foreground="#4ade80" |
| 152 | + ) |
| 153 | + self.result_label.pack(pady=10) |
| 154 | + |
| 155 | + self.root.after(15, self.animate_progress) |
| 156 | + |
| 157 | + # ---------------------- Actions ---------------------- |
| 158 | + def start_prediction(self): |
| 159 | + try: |
| 160 | + features = [ |
| 161 | + self.owner_var.get(), |
| 162 | + self.km_var.get(), |
| 163 | + self.year_var.get() |
| 164 | + ] |
| 165 | + except Exception: |
| 166 | + messagebox.showerror("Input Error", "Invalid input values") |
| 167 | + return |
| 168 | + |
| 169 | + self.progress["value"] = 0 |
| 170 | + self.target_progress = 0 |
| 171 | + self.smooth_value = 0 |
| 172 | + |
| 173 | + self.predict_btn.config(state=DISABLED) |
| 174 | + self.cancel_btn.config(state=NORMAL) |
| 175 | + |
| 176 | + threading.Thread( |
| 177 | + target=self._run_worker, |
| 178 | + args=(features,), |
| 179 | + daemon=True |
| 180 | + ).start() |
| 181 | + |
| 182 | + def _run_worker(self, features): |
| 183 | + self.worker = PredictionWorker( |
| 184 | + features, |
| 185 | + callbacks={ |
| 186 | + "progress": self.set_target, |
| 187 | + "result": self.show_result, |
| 188 | + "error": self.show_error |
| 189 | + } |
| 190 | + ) |
| 191 | + self.worker.run() |
| 192 | + |
| 193 | + def show_result(self, price): |
| 194 | + self.result_label.config(text=f"Predicted Price: ${price:,}") |
| 195 | + self.finish() |
| 196 | + |
| 197 | + def show_error(self, msg): |
| 198 | + messagebox.showerror("Prediction Error", msg) |
| 199 | + self.finish() |
| 200 | + |
| 201 | + def cancel(self): |
| 202 | + if self.worker: |
| 203 | + self.worker.stop() |
| 204 | + self.finish() |
| 205 | + |
| 206 | + def finish(self): |
| 207 | + self.predict_btn.config(state=NORMAL) |
| 208 | + self.cancel_btn.config(state=DISABLED) |
| 209 | + self.progress["value"] = 100 |
| 210 | + |
| 211 | + # ---------------------- Progress Animation ---------------------- |
| 212 | + def set_target(self, v): |
| 213 | + self.target_progress = v |
| 214 | + |
| 215 | + def animate_progress(self): |
| 216 | + if self.smooth_value < self.target_progress: |
| 217 | + self.smooth_value += 1 |
| 218 | + self.progress["value"] = self.smooth_value |
| 219 | + self.root.after(15, self.animate_progress) |
| 220 | + |
| 221 | + # ---------------------- Styles ---------------------- |
| 222 | + def _apply_styles(self): |
| 223 | + style = tb.Style() |
| 224 | + style.configure( |
| 225 | + "TProgressbar", |
| 226 | + troughcolor="#1b1f3a", |
| 227 | + background="#22c55e", |
| 228 | + thickness=14 |
| 229 | + ) |
| 230 | + |
| 231 | + # ---------------------- Run ---------------------- |
| 232 | + def run(self): |
| 233 | + self.root.mainloop() |
| 234 | + |
| 235 | + |
| 236 | +# ---------------------- RUN ---------------------- |
| 237 | +if __name__ == "__main__": |
| 238 | + app = AutoValueApp() |
| 239 | + app.run() |
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