app.py

import gradio as gr
import requests

# Set your Hugging Face API key here
API_KEY = "your_huggingface_api_key"

def generate_text(input_text):
    added_lines = []
    for line in input_text.split('\n'):
        if line.startswith('+') and not line.startswith('+++'):
            added_line = line[1:]  # Remove the '+' sign
            if sum(len(l) + 1 for l in added_lines) + len(added_line) <= 2000:
                added_lines.append(added_line)
            else:
                return "Input too long. Please try again."
                break
    return '\n'.join(added_lines)

def analyze_sentiment(input_text):
    return input_text

def echo_text(input_text):
    return input_text

# Define the Gradio interface
interface1 = gr.Interface(fn=generate_text, inputs="text", outputs="text")
interface2 = gr.Interface(fn=analyze_sentiment, inputs="text", outputs="text")
interface3 = gr.Interface(fn=echo_text, inputs="text", outputs="text")

tabbed_interface = gr.TabbedInterface([interface1, interface2, interface3], ["Text Generation", "Sentiment Analysis", "Echo Text"])

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