app.py

import gradio as gr
import requests
import os

# WARNING: It is not recommended to hardcode sensitive data like API tokens in code.
# Consider using environment variables or other secure methods for production applications.
API_URL = "https://deployment.datasaur.ai/api/deployment/8/2717/chat/completions"
API_TOKEN = os.getenv("DATASAUR_API_TOKEN")

def magic_function(input_text):
    """
    Sends text to the Datasaur deployment API and returns the processed text.
    """
    headers = {
        "Content-Type": "application/json",
        "Authorization": f"Bearer {API_TOKEN}",
    }
    data = {
        "messages": [{"role": "user", "content": input_text}]
    }
    
    try:
        response = requests.post(API_URL, headers=headers, json=data)
        response.raise_for_status()  # Raise an exception for bad status codes (4xx or 5xx)
        
        response_json = response.json()
        
        # Extract content from a standard chat completion response structure.
        # This may need adjustment if the API has a different format.
        content = response_json.get("choices", [{}])[0].get("message", {}).get("content", "Error: Could not parse response.")
        return content
        
    except requests.exceptions.RequestException as e:
        return f"API Request Error: {e}"
    except (ValueError, KeyError, IndexError):
        # Handle cases where response is not valid JSON or structure is unexpected
        return f"Error processing API response: {response.text}"

def handle_magic_click(current_text):
    """
    When the magic button is clicked, this function gets the improved text,
    and returns the new and previous text to update the UI.
    It also makes the "Previous Text" box visible.
    """
    improved_text = magic_function(current_text)
    return improved_text, current_text, gr.update(visible=True)


with gr.Blocks() as demo:
    gr.Markdown("# Memo Improvement Workflow")
    with gr.Row():
        with gr.Column(scale=4):
            text_area = gr.Textbox(label="Your Text", lines=20)
            previous_text_area = gr.Textbox(label="Previous Text", lines=20, visible=False)
        with gr.Column(scale=1):
            magic_button = gr.Button("Magic Button")

    magic_button.click(
        fn=handle_magic_click,
        inputs=text_area,
        outputs=[text_area, previous_text_area, previous_text_area]
    )

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