app.py

import gradio as gr
import requests
import os
import re

# 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/8/2748/chat/completions"
API_TOKEN = os.environ["DATASAUR_API_KEY"]

import re
import json

def extract_suggestion_value(text):
    """
    Extracts the value of the 'suggestion' key from a given string that may contain JSON-like content.

    Parameters:
        text (str): Input text containing a JSON-like 'suggestion' field.

    Returns:
        dict: Dictionary with the 'suggestion' key and its extracted value, or None if not found.
    """
    # First, try to directly parse as JSON
    try:
        parsed = json.loads(text)
        if "suggestion" in parsed:
            return parsed["suggestion"]
    except json.JSONDecodeError:
        pass  # Fall back to regex if not valid JSON

    # Fallback: use regex to extract suggestion value
    match = re.search(r'"suggestion"\s*:\s*"([^"]+)"', text)
    if match:
        return match.group(1)

    return None

        
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": f"Input: `{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.")

        content = extract_suggestion_value(content)

        return content.strip()
        
    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.
    If the improved text has no "[" or "]" characters, make text area light green and hide previous text.
    """
    improved_text = magic_function(current_text)
    
    # Check if improved text contains "[" or "]"
    if "[" not in improved_text and "]" not in improved_text:
        # No brackets found - make text area light green and hide previous text
        return (
            gr.update(value=improved_text, elem_classes="success-text"),
            current_text,
            gr.update(visible=False)
        )
    else:
        # Brackets found - reset text area to normal appearance and show previous text
        return (
            gr.update(value=improved_text, elem_classes=""),
            current_text,
            gr.update(visible=True)
        )


with gr.Blocks(css=".success-text { background-color: #d4edda !important; }") as demo:
    gr.Markdown("# Time Entry Improvement")
    with gr.Row():
        with gr.Column(scale=4):
            text_area = gr.Textbox(label="Your Text", lines=5)
            previous_text_area = gr.Textbox(label="Previous Text", lines=5, 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()