app.py

import gradio as gr
import requests
import json
import os

API_URL = "https://ia.nebuia.com/api/v1/integrator/extractor/from/image"
API_KEY = "2J7NFWQ-236PGAM-2S9RD3C-2DG54CY"
API_SECRET = "a47abf97-866b-4154-b29c-346c9b02919e"

def send_excel_to_api(file_path, json_structure):
    headers = {
        'key': API_KEY,
        'secret': API_SECRET
    }
    
    files = {
        'file': open(file_path, 'rb')
    }
    
    data = {
        'structure': json_structure
    }
    
    try:
        response = requests.post(API_URL, headers=headers, files=files, data=data)
        
        if response.status_code == 200:
            result = response.json()
            print(result)
            if result.get("status"):
                return json.dumps(result["payload"], indent=2)
            else:
                return f"Error: {result.get('message', 'Unknown error')}"
        else:
            return f"Error: Received status code {response.status_code}\n{response.text}"
    except requests.RequestException as e:
        return f"Error sending request: {e}"
    finally:
        files['file'].close()

def gradio_interface(file, json_structure):
    if file is None:
        return "Please upload an Excel file."
    return send_excel_to_api(file.name, json_structure)

# Create the Gradio interface
iface = gr.Interface(
    fn=gradio_interface,
    inputs=[
        gr.File(label="Upload Excel File"),
        gr.Code(label="JSON Structure", language="json", lines=10, value='''{
    "curp": "",
    "clave_elector": "",
    "nombre": "",
    "fecha_nacimiento": ""
}''')
    ],
    outputs=gr.Textbox(label="API Response", lines=10),
    title="NebuIA Excel Extractor",
    description="Sube un excel, modifica la estructura a llenar y presiona Submit."
)

# Launch the interface
iface.launch()