import gradio as gr
import os

def test_model(input_text):
    """Simple test function"""
    if not input_text.strip():
        return "Please enter some text to test."
    
    # Simple echo response for now
    return f"Echo: {input_text} (Model: tasal9/ZamAI-Mistral-7B-Pashto)"

def train_model(dataset_text):
    """Training function"""
    if not dataset_text.strip():
        return "Please provide training data."
    
    return f"Training started for tasal9/ZamAI-Mistral-7B-Pashto\nData length: {len(dataset_text)} characters"

def finetune_model(dataset_text):
    """Fine-tuning function"""
    if not dataset_text.strip():
        return "Please provide fine-tuning data."
    
    return f"Fine-tuning started for tasal9/ZamAI-Mistral-7B-Pashto\nData length: {len(dataset_text)} characters"

# Create interface
with gr.Blocks(title="ZamAI-Mistral-7B-Pashto") as demo:
    gr.Markdown(f"# ZamAI-Mistral-7B-Pashto Training Space")
    
    with gr.Tab("Test"):
        with gr.Row():
            test_input = gr.Textbox(label="Input", lines=2)
            test_output = gr.Textbox(label="Output", lines=2)
        test_btn = gr.Button("Test")
        test_btn.click(test_model, inputs=test_input, outputs=test_output)
    
    with gr.Tab("Train"):
        train_input = gr.Textbox(label="Training Data", lines=5)
        train_output = gr.Textbox(label="Training Status", lines=3)
        train_btn = gr.Button("Start Training")
        train_btn.click(train_model, inputs=train_input, outputs=train_output)
    
    with gr.Tab("Fine-tune"):
        finetune_input = gr.Textbox(label="Fine-tuning Data", lines=5)
        finetune_output = gr.Textbox(label="Fine-tuning Status", lines=3)
        finetune_btn = gr.Button("Start Fine-tuning")
        finetune_btn.click(finetune_model, inputs=finetune_input, outputs=finetune_output)

if __name__ == "__main__":
    demo.launch()