Update app.py

app.py

@@ -1,6 +1,9 @@
 import streamlit as st
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
 
+# ✅ MUST be the first Streamlit command
+st.set_page_config(page_title="Resume Tailor", layout="centered")
+
 # Load model and tokenizer
 @st.cache_resource
 def load_pipeline():
@@ -14,12 +17,12 @@ rephrase_pipeline = load_pipeline()
 def tailor_resume(job_description, resume):
     # Create a concise prompt
     prompt = f"paraphrase: Adapt this resume for the job description.\nJob: {job_description}\nResume: {resume}"
-    output = rephrase_pipeline(prompt, max_length=512, num_return_sequences=1, clean_up_tokenization_spaces=True)[0]["generated_text"]
+    output = rephrase_pipeline(
+        prompt, max_length=512, num_return_sequences=1, clean_up_tokenization_spaces=True
+    )[0]["generated_text"]
     return output
 
-# Streamlit UI
-st.set_page_config(page_title="Resume Tailor", layout="centered")
-
+# UI
 st.title("🎯 Resume Tailoring App")
 st.write("Use AI to align your resume with a specific job description.")