Upload 4 files

app.py

@@ -0,0 +1,24 @@
+import streamlit as st
+import joblib
+
+# Load model
+@st.cache_resource
+def load_model():
+    vectorizer = joblib.load('vectorizer.pkl')
+    model = joblib.load('model.pkl')
+    return vectorizer, model
+
+vectorizer, model = load_model()
+
+# UI
+st.title("Skill Extraction from Job Descriptions")
+job_text = st.text_area("Enter job description:", height=200)
+
+if st.button("Extract Skills"):
+    if job_text:
+        # Vectorize and predict
+        text_vec = vectorizer.transform([job_text])
+        prediction = model.predict(text_vec)
+        
+        st.success("Extracted Skills:")
+        st.write(prediction[0])

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5d77b13dcaa61606fbedd1506f545451a1cb27fcad89bc87f28ef08400ea6571
+size 47953327

requirements.txt

@@ -1,3 +1,5 @@
-altair
-pandas
-streamlit
+streamlit
+scikit-learn
+joblib
+pandas
+numpy

vectorizer.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f7199c079a23fd0f81173003396ed5ba3411cc95088ca07082337a6dfbb1554c
+size 768515