Rvc-gui Voice: Models 2 1.2

def browse_dir(self): d = filedialog.askdirectory() if d: self.models_dir.set(d) self.scan_models()

self.status = tk.Label(root, text="Ready", bd=1, relief=tk.SUNKEN, anchor=tk.W) self.status.pack(side=tk.BOTTOM, fill=tk.X) RVC-GUI Voice Models 2 1.2

def record_convert(self): if not self.selected_model: messagebox.showerror("Error", "No model selected") return # Record audio duration = 5 # seconds fs = 22050 self.status.config(text=f"Recording {duration}s... Speak now") recording = sd.rec(int(duration * fs), samplerate=fs, channels=1, dtype='float32') sd.wait() temp_in = tempfile.NamedTemporaryFile(suffix=".wav", delete=False).name sf.write(temp_in, recording, fs) out_file = tempfile.NamedTemporaryFile(suffix=".wav", delete=False).name self.status.config(text="Converting recorded audio...") threading.Thread(target=self._run_conversion, args=(temp_in, out_file), daemon=True).start() def browse_dir(self): d = filedialog

def show_model_info(self, model_path): info = f"Path: {model_path}\n" info += f"Size: {os.path.getsize(model_path) / (1024*1024):.2f} MB\n" info += f"Modified: {datetime.fromtimestamp(os.path.getmtime(model_path))}\n" # Try to load companion info.json info_json_path = model_path.replace(".pth", ".json") if os.path.exists(info_json_path): try: with open(info_json_path, 'r') as f: data = json.load(f) info += "\nTraining info:\n" for k, v in data.items(): info += f" {k}: {v}\n" except: pass self.info_text.delete(1.0, tk.END) self.info_text.insert(tk.END, info) fs) out_file = tempfile.NamedTemporaryFile(suffix=".wav"