Create app.py

app.py

@@ -0,0 +1,64 @@
+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()