Update app.py

app.py

@@ -1,19 +1,27 @@
-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)
-    
+
+import pickle
+import re
+
+import os
+os.environ.setdefault("STREAMLIT_CONFIG_DIR", ".streamlit")
+os.makedirs(os.environ["STREAMLIT_CONFIG_DIR"], exist_ok=True)
+os.environ["STREAMLIT_BROWSER_GATHER_USAGE_STATS"] = "false"
+
+import streamlit as st
+
+
+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]}`")