Update app.py

app.py

@@ -18,10 +18,10 @@ Your goal is to analyze resumes, identify missing keywords, rate resumes,
 and suggest better skills to highlight.
 
 ### Response Format:
-1️⃣ **Resume Rating:** (Score out of 10)
-2️⃣ **Missing Keywords:** (Comma-separated list)
-3️⃣ **Suggested Skills:** (Bullet points)
-4️⃣ **Expert Improvement Tips:** (Clear and actionable advice)
+**📊 Resume Rating:** _(Score out of 10)_
+**🔍 Missing Keywords:** _(Comma-separated list)_
+**🛠 Suggested Skills:** _(Bullet points)_
+**💡 Expert Improvement Tips:** _(Clear and actionable advice)_
 """
 
 # Function to Extract Text from PDF
@@ -63,17 +63,31 @@ if uploaded_file is not None:
                 stream=True,
             )
 
-            # Stream response
+            # Stream response and format correctly
             st.subheader("💡 Resume Analysis")
             full_response = ""
             for chunk in completion:
                 chunk_text = chunk.choices[0].delta.content or ""
                 full_response += chunk_text
-                st.write(chunk_text)
 
-            # Display final response
+            # Format Response
+            st.markdown("### **📊 Resume Rating**")
+            rating_part = full_response.split("**🔍 Missing Keywords:**")[0].replace("**📊 Resume Rating:**", "").strip()
+            st.markdown(f"✅ **Rating:** {rating_part}")
+
+            st.markdown("### **🔍 Missing Keywords**")
+            missing_keywords_part = full_response.split("**🔍 Missing Keywords:**")[1].split("**🛠 Suggested Skills:**")[0].strip()
+            st.markdown(f"🔹 {missing_keywords_part}")
+
+            st.markdown("### **🛠 Suggested Skills**")
+            suggested_skills_part = full_response.split("**🛠 Suggested Skills:**")[1].split("**💡 Expert Improvement Tips:**")[0].strip()
+            st.markdown(f"🔸 {suggested_skills_part.replace('-', '🔹')}")  # Convert hyphens to bullet points
+
+            st.markdown("### **💡 Expert Improvement Tips**")
+            improvement_tips_part = full_response.split("**💡 Expert Improvement Tips:**")[1].strip()
+            st.markdown(f"📌 {improvement_tips_part.replace('-', '📌')}")  # Convert hyphens to bullet points
+
+            # Display success message
             st.success("✅ Resume analyzed successfully!")
         else:
             st.error("⚠️ No readable text found in the PDF. Please upload a valid resume.")
-
-