import gradio as gr

def evaluate_code(language, question, code):
    # Check if code is provided
    if not code.strip():
        return "Error: No code provided. Please enter your solution code."

    # Dummy evaluation logic based on language.
    # Replace this with your TinyLlama integration later.
    if language.lower() == "c":
        return "C evaluation: The code meets basic criteria but may need improvements."
    elif language.lower() == "python":
        return "Python evaluation: Code is correct and follows best practices."
    elif language.lower() == "java":
        return "Java evaluation: Good structure, but consider error handling improvements."
    else:
        return "Unsupported language. Please select C, Python, or Java."

iface = gr.Interface(
    fn=evaluate_code,
    inputs=[
        gr.Dropdown(choices=["C", "Python", "Java"], label="Language"),
        gr.Textbox(lines=2, placeholder="Enter the problem question here...", label="Question"),
        gr.Code(label="Your Code (if any)")  # No placeholder property here.
    ],
    outputs=gr.Textbox(label="Evaluation Result"),
    title="Code Evaluator",
    description="Enter a coding question and your solution (if available) to get AI-powered feedback. Supports C, Python, and Java."
)

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