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1f5470c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 | import tkinter as tk
from tkinter import ttk, filedialog, scrolledtext
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import threading
import subprocess
import numpy as np
class MultiModalGUI(tk.Tk):
def __init__(self):
super().__init__()
self.title("Multimodal Transformer Trainer")
self.geometry("1200x800")
# Initialize model and hyperparameters
self.model = None # Replace with your model
self.hparams = {"lr": 1e-4, "batch_size": 32}
# Create tabs
self.notebook = ttk.Notebook(self)
self.training_tab = TrainingTab(self.notebook, self)
self.inference_tab = InferenceTab(self.notebook, self)
self.data_tab = DataTab(self.notebook, self)
self.settings_tab = SettingsTab(self.notebook, self)
self.notebook.add(self.training_tab, text="Training")
self.notebook.add(self.inference_tab, text="Inference")
self.notebook.add(self.data_tab, text="Data")
self.notebook.add(self.settings_tab, text="Settings")
self.notebook.pack(expand=True, fill="both")
class TrainingTab(ttk.Frame):
def __init__(self, parent, controller):
super().__init__(parent)
self.controller = controller
# Training progress plot
self.figure = plt.figure(figsize=(8, 4))
self.ax = self.figure.add_subplot(111)
self.canvas = FigureCanvasTkAgg(self.figure, self)
self.canvas.get_tk_widget().pack(fill=tk.BOTH, expand=True)
# Start/Stop buttons
self.start_btn = ttk.Button(self, text="Start Training", command=self.start_training)
self.start_btn.pack(side=tk.LEFT)
self.stop_btn = ttk.Button(self, text="Stop", command=self.stop_training)
self.stop_btn.pack(side=tk.LEFT)
# Logs
self.logs = scrolledtext.ScrolledText(self, height=10)
self.logs.pack(fill=tk.BOTH)
def start_training(self):
def train():
# Example training loop (replace with actual model training)
losses, accs = [], []
for epoch in range(10):
loss = np.random.rand()
acc = np.random.rand()
losses.append(loss)
accs.append(acc)
self.update_plot(losses, accs)
self.log(f"Epoch {epoch+1}: Loss={loss:.4f}, Acc={acc:.4f}")
threading.Thread(target=train).start()
def update_plot(self, losses, accs):
self.ax.clear()
self.ax.plot(losses, label="Loss")
self.ax.plot(accs, label="Accuracy")
self.ax.legend()
self.canvas.draw()
def log(self, message):
self.logs.insert(tk.END, message + "\n")
self.logs.see(tk.END)
def stop_training(self):
pass # Implement stopping logic
class InferenceTab(ttk.Frame):
def __init__(self, parent, controller):
super().__init__(parent)
self.controller = controller
# Task selection
self.task_var = tk.StringVar()
self.task_combo = ttk.Combobox(self, values=["text_generation", "image_captioning", "music_generation"])
self.task_combo.pack()
# Input/Output areas
self.input_text = scrolledtext.ScrolledText(self, height=5)
self.input_text.pack()
self.output_text = scrolledtext.ScrolledText(self, height=10)
self.output_text.pack()
self.run_btn = ttk.Button(self, text="Run Inference", command=self.run_inference)
self.run_btn.pack()
def run_inference(self):
task = self.task_combo.get()
input_data = self.input_text.get("1.0", tk.END)
# Replace with model inference
output = f"Model output for {task}: {input_data[:20]}..."
self.output_text.insert(tk.END, output + "\n")
class DataTab(ttk.Frame):
def __init__(self, parent, controller):
super().__init__(parent)
self.controller = controller
# Dataset upload
self.upload_btn = ttk.Button(self, text="Upload Dataset", command=self.upload_dataset)
self.upload_btn.pack()
# Data preview
self.preview_text = scrolledtext.ScrolledText(self, height=15)
self.preview_text.pack()
def upload_dataset(self):
filetypes = [("Text", "*.txt"), ("CSV", "*.csv"), ("Images", "*.jpg")]
filenames = filedialog.askopenfilenames(filetypes=filetypes)
self.preview_text.insert(tk.END, f"Uploaded: {filenames}\n")
class SettingsTab(ttk.Frame):
def __init__(self, parent, controller):
super().__init__(parent)
self.controller = controller
# Hyperparameters
ttk.Label(self, text="Learning Rate:").pack()
self.lr_entry = ttk.Entry(self)
self.lr_entry.insert(0, "0.001")
self.lr_entry.pack()
ttk.Label(self, text="Batch Size:").pack()
self.batch_entry = ttk.Entry(self)
self.batch_entry.insert(0, "32")
self.batch_entry.pack()
# Save/Load buttons
self.save_btn = ttk.Button(self, text="Save Model", command=self.save_model)
self.save_btn.pack()
self.load_btn = ttk.Button(self, text="Load Model", command=self.load_model)
self.load_btn.pack()
def save_model(self):
filename = filedialog.asksaveasfilename(defaultextension=".h5")
if filename:
self.controller.model.save_weights(filename)
def load_model(self):
filename = filedialog.askopenfilename(filetypes=[("HDF5", "*.h5")])
if filename:
self.controller.model.load_weights(filename)
if __name__ == "__main__":
app = MultiModalGUI()
app.mainloop() |