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import gradio as gr | |
from transformers import pipeline | |
def analyze_output(input_text): | |
pipe = pipeline("text-classification", model="Titeiiko/OTIS-Official-Spam-Model") | |
result = pipe(input_text)[0] | |
if result["label"] == "LABEL_0": | |
return {"type": "Not Spam", "probability": result["score"]} | |
else: | |
return {"type": "Spam", "probability": result["score"]} | |
iface = gr.Interface( | |
fn=analyze_output, | |
inputs=gr.Textbox(), | |
outputs=["text", "text"], | |
live=True, | |
interpretation="default", | |
title="Spam Classification App", | |
description="Enter a text to classify it as Spam or Not Spam.", | |
theme="compact" | |
) | |
iface.launch() | |