add the blanks

app.py

@@ -0,0 +1,46 @@
+import streamlit as st
+import arxiv
+from inference import classify, load_model  # Replace with your actual module
+
+@st.cache_resource
+def get_model():
+    return load_model()
+
+def get_arxiv_article_info(url):
+    """Extracts title and abstract from an arXiv article link."""
+    paper_id = url.split("/abs/")[-1]
+    search = arxiv.Search(id_list=[paper_id])
+    
+    for result in search.results():
+        return result.title, result.summary
+    return None, None
+
+# Load model once
+model = get_model()
+
+st.title("ArXiv Article Classifier")
+
+# Input method selection
+input_method = st.radio("Select input method:", ("ArXiv Link", "Manual Input"))
+
+title, abstract = None, None
+
+if input_method == "ArXiv Link":
+    arxiv_url = st.text_input("Enter ArXiv article link:")
+    if st.button("Classify"):
+        if arxiv_url:
+            title, abstract = get_arxiv_article_info(arxiv_url)
+        else:
+            st.error("Please enter a valid ArXiv link.")
+elif input_method == "Manual Input":
+    title = st.text_input("Enter Article Title:")
+    abstract = st.text_area("Enter Article Abstract:")
+    if st.button("Classify"):
+        if not title or not abstract:
+            st.error("Please provide both title and abstract.")
+
+# Classification and output
+if title and abstract:
+    category = classify(title, abstract)
+    st.write(f"### Title: {title}")
+    st.write(f"**Predicted Category:** {category}")

inference.py

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+def load_model():
+    pass
+
+def classify(title, abstract):
+    return "physics"
+