app.py

import os
import requests
import gradio as gr

api_key = os.environ.get('MY_API_KEY')

def encrypt_decrypt(input_text, key, operation, method):
    # Define the API endpoint
    api_url = "https://api.nvcf.nvidia.com/v2/nvcf/pexec/functions/347fa3f3-d675-432c-b844-669ef8ee53df"
    headers = {
        'Authorization': f'Bearer {api_key}',
        'Content-Type': 'application/json'
    }
    
    # Construct the message for the AI
    message = f"{operation.lower()} this message: '{input_text}' with key {key} using {method} method"

    data = {
        "messages": [
            {"content": message, "role": "user"}
        ],
        "stream": False
    }

    # Make the API request
    response = requests.post(api_url, headers=headers, json=data)

    # Check the response status
    if response.status_code == 200:
        response_data = response.json()
        if 'choices' in response_data and len(response_data['choices']) > 0:
            content = response_data['choices'][0].get('message', {}).get('content', '')
            return content
        else:
            return "No content found in response"
    else:
        return f"Error: {response.text}"

# Create the Gradio interface
interface = gr.Interface(
    fn=encrypt_decrypt,
    inputs=[
        gr.Textbox(label="Message", placeholder="Enter your message here..."),
        gr.Textbox(label="Key", placeholder="Enter your key here..."),
        gr.Radio(choices=["Encrypt", "Decrypt"], label="Operation"),
        gr.Dropdown(choices=["AES", "Vigenere Cipher", "Caesar Cipher"], label="Encryption Method")
    ],
    outputs=gr.Textbox(label="Result")
)

# Launch the app
if __name__ == "__main__":
    interface.launch()