app.py

import gradio as gr
import json

# Function to minify JSON
def minify_json(input_text, uploaded_file):
    try:
        if uploaded_file is not None:
            input_text = uploaded_file["data"].decode("utf-8")

        json_content = json.loads(input_text)
        minified_json = json.dumps(json_content, separators=(',', ':'))
        return minified_json
    except json.JSONDecodeError:
        return "Invalid JSON input. Please provide a valid JSON."

minify = gr.Interface(
    minify_json, 
    [gr.Textbox(label="Input JSON Text"), gr.File(label="Upload JSON File")], 
    "text"
)

# Function to minify JSON with each key on a new line
def minify_json_to_row(input_text, uploaded_file):
    try:
        if uploaded_file is not None:
            input_text = uploaded_file["data"].decode("utf-8")

        json_content = json.loads(input_text)
        minified_json = json.dumps(json_content, indent=1).replace('\n ', '\n').lstrip()
        return minified_json
    except json.JSONDecodeError:
        return "Invalid JSON input. Please provide a valid JSON."

minify_to_row = gr.Interface(
    minify_json_to_row,
    [gr.Textbox(label="Input JSON Text"), gr.File(label="Upload JSON File")],
    "text"
)

# Function for the Should we translate? interface
def check_input(input_text, uploaded_file):
    if uploaded_file is not None:
        input_text = uploaded_file["data"].decode("utf-8")
    
    if not input_text.strip():
        return "No words in the input."
    words = input_text.split()
    response = [f"'{word}' is a valid word." if word.isalpha() and ' ' not in word else f"'{word}' is not a valid word." for word in words]
    return " ".join(response)

should_we_translate = gr.Interface(
    check_input, 
    [gr.Textbox(label="Input Text"), gr.File(label="Upload File")], 
    "text"
)

# Creating a Tabbed Interface with all functionalities
demo = gr.TabbedInterface([minify, should_we_translate, minify_to_row], ["Minify JSON", "Should we translate?", "Minify to row"])

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