# Import necessary libraries
import gradio as gr
import spacy

# Load the trained spaCy model
model_path = "./my_trained_model"
nlp = spacy.load(model_path)

# Function to classify text
def classify_text(text):
    doc = nlp(text)
    predicted_labels = doc.cats
    return predicted_labels

# Gradio Interface
def classify_and_save(input_text):
    predicted_labels = classify_text(input_text)
    return predicted_labels

iface = gr.Interface(classify_and_save, "textbox", "json", title="Text Classifier", description="Enter your text")
iface.launch(share=True)