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src/app.py

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+import streamlit as st
+import pickle
+from sklearn.metrics.pairwise import cosine_similarity
+
+# Load model and dataset
+with open("currentaffairs_chatbot_vectorizer.pkl", "rb") as f:
+    vectorizer = pickle.load(f)
+
+with open("chatbot_dataset.pkl", "rb") as f:
+    df = pickle.load(f)
+
+# Rebuild embeddings
+X_vectors = vectorizer.transform(df["Question"])
+
+# Chatbot function
+def chatbot_response(user_input):
+    user_vec = vectorizer.transform([user_input])
+    similarities = cosine_similarity(user_vec, X_vectors)
+    idx = similarities.argmax()
+    return df.iloc[idx]["Answer"]
+
+# Streamlit UI
+st.set_page_config(page_title="🌍 UN Countries Chatbot", page_icon="🌍")
+
+st.title("🌍 UN Countries Chatbot")
+st.write("Ask me about any UN member state and I’ll tell you the basic info.")
+
+# User input box
+user_input = st.text_input("You:", "")
+
+if user_input:
+    response = chatbot_response(user_input)
+    st.success(f"🤖 {response}")

src/chatbot_dataset.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a348b9c43cdcb34e3b5a52f1410c58cc26bf42b40191c475c23bb608e0feaa69
+size 2547

src/currentaffairs_chatbot_vectorizer.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:79912a9d7846f325cc0db1eab791bb79a9ff7684948acc6aabf2ca9e26173d83
+size 1177

src/requirements.txt

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+pip>=25.0
+streamlit
+scikit-learn
+pandas