Create app.py

app.py

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+import gradio as gr
+from sentence_transformers import SentenceTransformer, util
+
+# Load the model
+model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')
+
+# Define the function to check plagiarism
+def check_plagiarism(student_text, reference_text):
+    embeddings = model.encode([student_text, reference_text], convert_to_tensor=True)
+    similarity = util.cos_sim(embeddings[0], embeddings[1]).item()
+    return f"Similarity Score: {similarity:.2f}"
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=check_plagiarism,
+    inputs=["text", "text"],
+    outputs="text",
+    title="Plagiarism Checker",
+    description="Enter a student submission and a reference text to compare similarity. Higher scores indicate higher similarity (possible plagiarism)."
+)
+
+# Launch the app
+iface.launch()