Update app.py

app.py

@@ -8,20 +8,22 @@ from utils.suggestions import (
     get_career_advice,
     get_job_listings,
 )
+from utils.visualizer import generate_timeline
 import base64
 import io
 import datetime
+from fpdf import FPDF
+from matplotlib.backends.backend_agg import RendererAgg
+import matplotlib.pyplot as plt
 
 st.title("Universal Smart CV Analyzer & Career Roadmap")
 
 uploaded_file = st.file_uploader("Upload your CV in PDF format", type=["pdf"])
 
 if uploaded_file is not None:
-    # Save uploaded file temporarily
     with open("temp_cv.pdf", "wb") as f:
         f.write(uploaded_file.getbuffer())
 
-    # Parse CV
     parsed_text = parse_cv("temp_cv.pdf")
     education_level = extract_education_level(parsed_text)
     cv_type = identify_cv_type(parsed_text)
@@ -32,7 +34,6 @@ if uploaded_file is not None:
     st.write(f"**Education Level:** {education_level}")
     st.write(f"### Overall CV Score: {score} / 100")
     st.write("### Score Breakdown:")
-    
     for k, v in score_breakdown.items():
         st.write(f"- {k}: {v}")
 
@@ -57,52 +58,9 @@ if uploaded_file is not None:
         for job in jobs:
             st.write(f"- {job}")
 
-    # Download full report as text
-    def generate_report():
-        report = f"CV Analysis Report - Generated on {datetime.datetime.now()}\n\n"
-        report += f"CV Type: {cv_type}\n"
-        report += f"Education Level: {education_level}\n"
-        report += f"Overall CV Score: {score} / 100\n\n"
-       
-        report += "Score Breakdown:\n"
-        for k, v in score_breakdown.items():
-            report += f"- {k}: {v}\n"
-
-        report += "\nCertification Suggestions:\n"
-        if isinstance(certs, list):
-           report += "\n".join(certs) + "\n\n"
-        else:
-           report += str(certs) + "\n\n"
-
-        report += "Higher Education Suggestions:\n"
-        if isinstance(edu, list):
-           report += "\n".join(edu) + "\n\n"
-        else:
-           report += str(edu) + "\n\n"
-
-        report += "Visa Recommendations:\n"
-        if isinstance(visa, list):
-            report += "\n".join(visa) + "\n\n"
-        else:
-            report += str(visa) + "\n\n"
-
-        report += "Career Advice:\n" + str(advice) + "\n\n"
-
-        report += "Job Listings:\n"
-        if isinstance(jobs, list):
-           for job in jobs:
-              report += f"- {job}\n"
-           else:
-              report += str(jobs) + "\n"
-
-        return report
-
-
-
-    report_text = generate_report()
-    b64 = base64.b64encode(report_text.encode()).decode()
-    href = f'<a href="data:file/txt;base64,{b64}" download="cv_analysis_report.txt">Download Full CV Analysis Report</a>'
-    st.markdown(href, unsafe_allow_html=True)
+    st.header("📈 Career Roadmap Timeline")
+    fig = generate_timeline(parsed_text)
+    st.pyplot(fig)
 
 from PIL import Image
 
@@ -179,4 +137,3 @@ def generate_pdf_report():
     pdf.output(pdf_buffer)
     pdf_buffer.seek(0)
     return pdf_buffer
-