Update app.py

app.py

@@ -145,6 +145,24 @@ def display_score(similarity, colors):
     ax.axis('equal')  
     st.pyplot(fig)
 
+def save_docx_as_pdf(doc_content, output_path='output.pdf'):
+    # Save document content as a .docx file
+    temp_doc_path = 'temp.docx'
+    doc = Document()
+    doc.add_paragraph(doc_content)
+    doc.save(temp_doc_path)
+    
+    # Convert .docx to PDF
+    from docx2pdf import convert
+    convert(temp_doc_path, output_path)
+    os.remove(temp_doc_path)
+    
+def display_doc_as_image(pdf_path):
+    images = convert_from_path(pdf_path)
+    for img in images:
+        buf = BytesIO()
+        img.save(buf, format="PNG")
+        st.image(buf)
 
 # Process if files are uploaded
 if uploaded_resume and uploaded_job_description:
@@ -186,6 +204,16 @@ if uploaded_resume and uploaded_job_description:
                 </script>
             """, unsafe_allow_html=True)
 
+            col1, col2 = st.columns(2)
+            with col1: 
+                st.markdown("### Uploaded Resume:")
+                save_docx_as_pdf(uploaded_resume.getvalue().decode('utf-8'), 'uploaded_resume.pdf')
+                display_doc_as_image('uploaded_resume.pdf')
+            with col2:
+                st.markdown("### Tailored Resume:")
+                save_docx_as_pdf(generated_resume, 'tailored_resume.pdf')
+                display_doc_as_image('tailored_resume.pdf')
+            
             with st.spinner("Computing Match"):
                 similarity_score, pie_colors = get_score(resume_path, job_description_path)
                 display_score(similarity_score, pie_colors)
@@ -207,8 +235,7 @@ if uploaded_resume and uploaded_job_description:
                     file_name="tailored_resume.docx",
                     mime="application/vnd.openxmlformats-officedocument.wordprocessingml.document"
                 )
-               
-
+                
 else:
     st.warning("Please upload both the resume and job description files.")