Upload app.py

app.py

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+# -*- coding: utf-8 -*-
+"""app.py
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1S9PpwawHnbXVESdJgwe2rOXa7D-H4_7R
+"""
+
+!pip install -q gradio
+import gradio as gr
+from transformers import pipeline
+
+# Load the fine-tuned model and tokenizer
+classifier = pipeline("text-classification", model="Mehdi009/Antisemitism_Harassment_Detection")
+
+# Function to make predictions
+def predict_antisemitism(text):
+    result = classifier(text)
+    label = result[0]['label']
+    score = result[0]['score']
+    return {label: round(score, 4)}
+
+# Create Gradio Interface
+iface = gr.Interface(
+    fn=predict_antisemitism,
+    inputs=gr.Textbox(lines=2, placeholder="Enter a tweet here..."),
+    outputs=gr.Label(num_top_classes=2),
+    title="Antisemitism Harassment Detection",
+    description="Enter a tweet or sentence, and the model will predict whether it contains antisemitic harassment.",
+    examples=[
+        ["Jews control the media and banks."],
+        ["I support Israel’s right to exist and defend itself."],
+        ["Zionazi are ruining everything!"],
+        ["We need more understanding and less hate."]
+    ]
+)
+
+# Launch the demo
+iface.launch(debug=True,share=True)