added utils

utils.py

@@ -0,0 +1,19 @@
+from transformers import pipeline
+from sentence_transformers import SentenceTransformer, util
+
+# Load models once
+summarizer = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
+grammar_tool = language_tool_python.LanguageTool('en-US')
+similarity_model = SentenceTransformer('all-MiniLM-L6-v2')
+
+def get_summary(text):
+    return summarizer(text, max_length=150, min_length=30, do_sample=False)[0]['summary_text']
+
+def check_grammar(text):
+    matches = grammar_tool.check(text)
+    return language_tool_python.utils.correct(text, matches)
+
+def detect_plagiarism(text1, text2):
+    embeddings = similarity_model.encode([text1, text2])
+    cosine_sim = util.cos_sim(embeddings[0], embeddings[1]).item()
+    return f"Similarity score: {cosine_sim:.4f}"