Update app.py

app.py

@@ -1,6 +1,6 @@
 import gradio as gr
-import fitz  # PyMuPDF for PDF
-import docx  # python-docx for DOCX
+import fitz
+import docx
 from sentence_transformers import SentenceTransformer, util
 from gtts import gTTS
 import tempfile
@@ -8,7 +8,6 @@ import tempfile
 # Load model
 model = SentenceTransformer("all-MiniLM-L6-v2")
 
-# Skills list
 top_skills = [
     "Python", "Java", "C++", "SQL", "JavaScript", "React", "Node.js",
     "Machine Learning", "Data Analysis", "Excel", "Communication",
@@ -28,8 +27,6 @@ def extract_text_from_docx(docx_file):
     return "\n".join([p.text for p in doc.paragraphs])
 
 def summarize_resume(text):
-    # Placeholder LLM summary
-    # Replace with actual LLM API call if needed
     summary = "This resume highlights skills in " + ", ".join(list(set(analyze_resume(text)[0].split(", ")))) + "."
     return summary
 
@@ -122,22 +119,53 @@ def process_resume(file_obj):
 
     return resume_text, summary, skills, jobs, missing, f"{score}/100", report_path, audio_path
 
-demo = gr.Interface(
-    fn=process_resume,
-    inputs=gr.File(label="Upload your resume (.pdf, .txt, .docx)"),
-    outputs=[
-        gr.Textbox(label="Resume Text", lines=10),
-        gr.Textbox(label="Resume Summary"),
-        gr.Textbox(label="Detected Skills"),
-        gr.Textbox(label="Suggested Job Titles"),
-        gr.Textbox(label="Recommended Skills to Learn"),
-        gr.Textbox(label="Resume Score"),
-        gr.File(label="Download Analysis Report"),
-        gr.Audio(label="Job Titles Audio")
-    ],
-    title="Resume Analyzer & Job Matcher",
-    description="Upload a PDF, DOCX, or text resume to get summary, job suggestions, skill feedback, score, and even audio suggestions!"
-)
+# Build the UI
+with gr.Blocks(theme="soft") as demo:
+    gr.Markdown("""
+# 📄✨ Resume Analyzer & Job Matcher
+Upload your **resume** and let AI analyze it for:
+- 🧠 Summary of your profile
+- ✅ Detected skills
+- 💼 Suggested job titles
+- 🚀 Recommended skills to learn
+- 🎯 Resume score
+- 🔊 Audio feedback
+- 📄 Downloadable report
+
+Supported formats: `.pdf`, `.docx`, `.txt`
+""")
+
+    with gr.Row():
+        with gr.Column():
+            file = gr.File(label="📤 Upload your resume here")
+            btn = gr.Button("🚀 Analyze Resume")
+
+    with gr.Tabs():
+        with gr.Tab("📋 Resume Text"):
+            resume_text = gr.Textbox(label="Your Resume Text", lines=15, interactive=False)
+
+        with gr.Tab("🧠 Summary"):
+            summary = gr.Textbox(label="Resume Summary", interactive=False)
+
+        with gr.Tab("🧰 Skills & Jobs"):
+            skills = gr.Textbox(label="Detected Skills", interactive=False)
+            jobs = gr.Textbox(label="Suggested Job Titles", interactive=False)
+            missing = gr.Textbox(label="Recommended Skills to Learn", interactive=False)
+
+        with gr.Tab("📊 Score"):
+            score = gr.Textbox(label="Resume Score", interactive=False)
+
+        with gr.Tab("📄 Download & 🔊 Audio"):
+            report = gr.File(label="📄 Download Analysis Report")
+            audio = gr.Audio(label="🔊 Job Titles Audio")
+
+    btn.click(
+        fn=process_resume,
+        inputs=file,
+        outputs=[
+            resume_text, summary, skills, jobs, missing, score, report, audio
+        ]
+    )
 
 if __name__ == "__main__":
     demo.launch()