app.py

import gradio as gr

def main_function(input_text, target_level, action):
    if action == "Calculate Input Level":
        return calc_input_reading_level(input_text), None, None, None
    elif action == "Generate Text":
        output_text, output_level, similarity = get_output_text_level_and_similarity(input_text, target_level)
        return None, output_text, output_level, similarity

def calc_input_reading_level(input_text):
    # Placeholder function implementation.
    return len(input_text) % 10  # Random operation as a placeholder

def get_output_text_level_and_similarity(input_text, target_level):
    # Placeholder function implementation.
    output_text = input_text[::-1]  # Example operation: reverse the input
    output_level = int(target_level)  # Assuming target_level is directly the output level
    similarity = 0.5  # Example fixed similarity
    return output_text, output_level, similarity

iface = gr.Interface(
    fn=main_function,
    inputs=[
        gr.components.Textbox(label="Input Text", lines=2),
        gr.components.Dropdown(choices=["1", "2", "3", "4", "5"], label="Target Reading Level"),
        gr.components.Radio(choices=["Calculate Input Level", "Generate Text"], label="Action")
    ],
    outputs=[
        gr.components.Text(label="Input Reading Level"),
        gr.components.Text(label="Output Text"),
        gr.components.Text(label="Output Reading Level"),
        gr.components.Text(label="Output Text Similarity")
    ],
    title="Text Analysis Tool",
    description="Calculate the reading level of input text or generate and analyze new text at a specified reading level."
)

iface.launch()