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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 f"Not Spam: {result['score']:.4f}" | |
| else: | |
| return f"Spam: {result['score']:.4f}" | |
| iface = gr.Interface( | |
| fn=analyze_output, | |
| inputs=gr.Textbox(), | |
| outputs="text", | |
| live=False, | |
| title="Spam Classification App", | |
| description="Enter a text to classify it as Spam or Not Spam.", | |
| theme="compact" | |
| ) | |
| iface.launch() | |