Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load the classification pipeline from your model on the hub
+classifier = pipeline("text-classification", model="Mahmoud3899/Boolean_new")
+
+def classify_text(text):
+    results = classifier(text)
+    # Format output nicely
+    return {res["label"]: round(res["score"], 4) for res in results}
+
+# Build Gradio UI
+gr.Interface(
+    fn=classify_text,
+    inputs=gr.Textbox(lines=3, placeholder="Enter your text here..."),
+    outputs="label",
+    title="Boolean Classifier",
+    description="A classification model by Mahmoud3899"
+).launch()