new structure for transcription engine

- found problems with mps
- integrated jinja2 templates for rendering (.tex?)
- raw ui & bad structure

ui/state.py

@@ -0,0 +1,36 @@
+import tkinter as tk
+import torch
+
+class State:
+    def __init__(self, root):
+        # transcription
+        self.model = tk.StringVar(root, "openai/whisper-large-v3-turbo")
+        self.batch = tk.StringVar(root, "32")
+        self.chunk = tk.StringVar(root, "30")
+        self.dtype = tk.StringVar(root, "torch.float16")
+        self.language = tk.StringVar(root, "ru")
+
+        # llm
+        self.api_key = tk.StringVar(root, "")
+        self.api_model = tk.StringVar(root, "")
+        self.base_url = tk.StringVar(root, "")
+        self.conspect_lang = tk.StringVar(root, "Russian")
+
+        # flags
+        self.create_conspect = tk.BooleanVar(root, False)
+        self.remove_transcription = tk.BooleanVar(root, False)
+
+        # files
+        self.input_file = tk.StringVar(root)
+        self.output_file = tk.StringVar(root)
+
+        # device
+        devices = []
+        if torch.cuda.is_available():
+            devices.append("cuda")
+        if torch.backends.mps.is_available():
+            devices.append("mps")
+        devices.append("cpu")
+
+        self.device_opts = devices
+        self.device = tk.StringVar(root, devices[0])