Model Uploded

app.py

@@ -0,0 +1,19 @@
+import streamlit as st
+import pickle
+import re
+
+st.title("Resume Classifer")
+
+uploaded_file = st.file_uploader("Upload your resume (.txt)", type=['txt'])
+
+if uploaded_file:
+    resume_text = uploaded_file.read().decode('utf-8')
+    
+    with open("model.pkl","rb") as f:
+        vectorizer, model = pickle.load(f)
+        
+    text = re.sub(r'[^a-zA-Z ]', '', resume_text).lower()
+    features = vectorizer.transform([text])
+    prediction = model.predict(features)
+    
+    st.write(f"### Predicted Job Role: `{prediction[0]}`")

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0bba85df05d08d16cbc7a84b9cd25d1368bd7e0a69caa7f219721ef3fac1d327
+size 714470