Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+# Load the summarization pipeline from Hugging Face
+rephrase_pipeline = pipeline("text2text-generation", model="Vamsi/T5_Paraphrase_Paws")
+
+def tailor_resume(job_description, resume):
+    prompt = f"Job Description: {job_description}\nResume: {resume}\n\nRewrite the resume to match the job description:"
+    output = rephrase_pipeline(prompt, max_length=512, do_sample=True, top_k=50)[0]["generated_text"]
+    return output
+
+st.set_page_config(page_title="Resume Tailor", layout="centered")
+
+st.title("🎯 Resume Tailoring App")
+st.write("Enhance your resume based on the job description using AI.")
+
+job_desc = st.text_area("📋 Paste the Job Description here:", height=200)
+resume_input = st.text_area("🧾 Paste Your Resume here:", height=300)
+
+if st.button("Tailor Resume"):
+    if job_desc.strip() == "" or resume_input.strip() == "":
+        st.warning("Please enter both the job description and your resume.")
+    else:
+        with st.spinner("Tailoring your resume..."):
+            tailored_resume = tailor_resume(job_desc, resume_input)
+            st.subheader("🎉 Tailored Resume")
+            st.text_area("You can now copy your optimized resume below:", value=tailored_resume, height=400)