Upload 6 files

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+arxiv_data.csv filter=lfs diff=lfs merge=lfs -text

ModelRec.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:865fde5f414969424905f87031b2f57073b3a3a1d9769dbdb5cdbd43c751a444
+size 91394991

Titles (1).pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d1ba4deb3076a942c8187da217b6cb245a7e89810f5a2dd870e634dcb7bdfdfe
+size 2989018

app.py

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+import streamlit as st
+import torch
+import pandas as pd
+from sentence_transformers import SentenceTransformer, util
+import pickle
+
+# Load data
+data = pd.read_csv("/content/arxiv_data.csv")
+titles = data["titles"]
+
+# Load pre-trained SentenceTransformer model
+model = SentenceTransformer("all-MiniLM-L6-v2")
+
+# Load saved embeddings
+with open("/content/embedding.pkl", "rb") as f:
+    Lencode = pickle.load(f)
+
+# Load saved model
+with open("/content/ModelRec.pkl", "rb") as f:
+    lModelRec = pickle.load(f)
+
+def recomm(inputPaper):
+    encodePaper = lModelRec.encode(inputPaper)
+    cosine_score = util.cos_sim(Lencode, encodePaper)
+    top_scores = torch.topk(cosine_score, dim=0, k=4)
+    paperList = []
+    for i in top_scores.indices:
+        paperList.append(titles[i.item()])
+    return paperList
+
+# Streamlit UI
+st.title("Paper Recommendation System")
+
+input_paper = st.text_input("Enter the name of the paper")
+
+if st.button("Recommend"):
+    recommended_papers = recomm(input_paper)
+    st.write("Recommended Papers:")
+    for paper in recommended_papers:
+        st.write(paper)

arxiv_data.csv

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6afecb2e65bc1d89f5a7e557197af7965d52874466569babf9a4237c2ba68aa2
+size 67411252

embedding.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7abd9ea84dedbc552287171552422eeaa28071336dfff5834c51cfb5c6c4b2e6
+size 79525027