added PDF download

app.py

@@ -4,6 +4,12 @@ import os
 import uuid
 import streamlit as st
 import math
+from io import BytesIO
+from reportlab.lib.pagesizes import letter
+from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, PageTemplate, Frame, Image
+from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
+from reportlab.lib.units import inch
+from reportlab.lib.utils import ImageReader
 from datetime import datetime, timedelta
 from dotenv import load_dotenv
 from typing import List
@@ -37,6 +43,8 @@ def get_coding_task_topics():
         st.error("Someting went wrong. Please try again later.", icon="🚨") 
 
 def get_questions(topic):
+    topic = topic.replace(" ", "%20")
+    topic = topic.replace("&", "%26")
     url = os.environ["BASE_URL"]+"/questions"+f"?dimension={topic}"
     headers = {
         "x-api-key": os.environ["API_KEY"]
@@ -229,9 +237,28 @@ for i, task in enumerate(st.session_state["tasks_for_interview"]):
 st.divider()
 if len(st.session_state["questions_for_interview"]) > 0 and len(st.session_state["tasks_for_interview"]) > 0:
     st.write("You can now save the questions and coding tasks for your interview.")
-    result_string = "Interview preparation:\n\n"
+    
+    # Erstelle eine BytesIO, um die PDF im Speicher zu halten
+    pdf_buffer = BytesIO()
+    doc = SimpleDocTemplate(pdf_buffer, pagesize=letter, title="Interview Questions")
+    
+    styles = getSampleStyleSheet()
+    paragraphs = []
     for i, question in enumerate(st.session_state["questions_for_interview"]):
-        result_string += f"Question {i+1}. :\n{question['question']}\n\nPerfect answer: {question['perfect_answer']}\n\nDifficulty: {question['difficulty']}\n\n\n"
+        paragraph_text = f"<font size='14'><b>Question {i+1}. :</b></font><br/><br/>{question['question']}<br/><b>Perfect answer:</b> {question['perfect_answer']}<br/><b>Difficulty:</b> {question['difficulty']}\n"
+        paragraphs.append(Paragraph(paragraph_text, styles["Normal"]))
+        paragraphs.append(Paragraph("<br/><br/>", styles["Normal"]))  # Zusätzlicher Zeilenumbruch mit 12pt Abstand
+    
     for i, task in enumerate(st.session_state["tasks_for_interview"]):
-        result_string += f"Coding task {i+1}. :\n{task['task']}\n\nPerfect answer: {task['perfect_solution']}\n\n\n"
-    st.download_button(label="Download", data=result_string, file_name="interview_questions.txt", mime="text/plain")
+        paragraph_text = f"<font size='14'><b>Coding task {i+1}. :</b></font><br/><br/>{task['task']}<br/><b>Perfect answer:</b> {task['perfect_solution']}\n"
+        paragraphs.append(Paragraph(paragraph_text, styles["Normal"]))
+        paragraphs.append(Paragraph("<br/><br/>", styles["Normal"]))  # Zusätzlicher Zeilenumbruch mit 12pt Abstand
+    
+    # Füge die Paragraphen in das PDF-Dokument ein
+    doc.build(paragraphs)
+    
+    # Speichere die PDF und schließe den Stream
+    pdf_buffer.seek(0)
+    
+    # Zeige den Download-Button für die PDF an
+    st.download_button(label="Download", data=pdf_buffer, file_name="interview_questions.pdf", mime="application/pdf")

requirements.txt

@@ -1,2 +1,3 @@
 streamlit
-python-dotenv
+python-dotenv
+reportlab