Update app.py

app.py

@@ -3,6 +3,7 @@ import openai
 import json
 import os
 from dotenv import load_dotenv
+from fpdf import FPDF
 
 # Load the OpenAI API Key
 api_key = st.text_input('Enter your OpenAI API Key', type="password")
@@ -94,6 +95,33 @@ def save_personality_to_output_json(username, mbti_type_classic, mbti_type_llm):
     with open("Output.json", "w") as json_file:
         json.dump(output_data, json_file, indent=4)
 
+# Function to generate a PDF report
+def generate_pdf_report(participant_name, mbti_type_classic, mbti_type_llm):
+    pdf = FPDF()
+    pdf.set_auto_page_break(auto=True, margin=15)
+    pdf.add_page()
+
+    # Set fonts and title
+    pdf.set_font("Arial", 'B', 16)
+    pdf.cell(200, 10, txt="MBTI Personality Report", ln=True, align="C")
+
+    # Add participant name
+    pdf.ln(10)
+    pdf.set_font("Arial", '', 12)
+    pdf.cell(200, 10, txt=f"Participant Name: {participant_name}", ln=True)
+
+    # Add MBTI information
+    pdf.ln(10)
+    pdf.set_font("Arial", 'I', 12)
+    pdf.cell(200, 10, txt=f"Your MBTI type based on weighted answers: {mbti_type_classic}", ln=True)
+    pdf.cell(200, 10, txt=f"Your MBTI type according to AI: {mbti_type_llm}", ln=True)
+
+    # Save the PDF to a temporary file
+    pdf_output_path = "/tmp/mbti_report.pdf"
+    pdf.output(pdf_output_path)
+
+    return pdf_output_path
+
 # Streamlit component to display the quiz and handle responses
 def show_mbti_quiz():
     st.title('FlexTemp Personality Test')
@@ -121,8 +149,10 @@ def show_mbti_quiz():
                 st.write(f"Your MBTI type based on weighted answers: {mbti_type_classic}")
 
                 # You can add LLM-based prediction if needed here (example OpenAI-based model)
+                mbti_type_llm = "Not Available"  # Placeholder for now
+
+                # Run the LLM (GPT-4, for example) model to generate a personality type.
                 if api_key:
-                    # Run the LLM (GPT-4, for example) model to generate a personality type.
                     prompt = f"""
                     Determine a person's personality type based on their answers to the following Myers-Briggs Type Indicator (MBTI) questions:
                     The person has answered the following questions:
@@ -164,6 +194,16 @@ def show_mbti_quiz():
                     mime="application/json"
                 )
 
+                # Generate and add the button for the PDF report
+                pdf_report_path = generate_pdf_report(participant_name, mbti_type_classic, mbti_type_llm)
+                with open(pdf_report_path, "rb") as pdf_file:
+                    st.download_button(
+                        label="Download Generated Report",
+                        data=pdf_file,
+                        file_name="MBTI_Report.pdf",
+                        mime="application/pdf"
+                    )
+
         else:
             st.warning("Please answer all the questions!")
 
@@ -171,8 +211,7 @@ def show_mbti_quiz():
 def main():
     # Add instructions to the sidebar
     with st.sidebar.expander("How This App Works", expanded=False):
-        st.write("""
-            ### FlexTemp Personality Test
+        st.write(""" ### FlexTemp Personality Test
             This app is designed to help you determine your MBTI personality type based on your answers to a series of questions. The process works as follows:
             1. **Weighted MBTI Scoring**: 
             - Each question corresponds to a trait in the MBTI system. 
@@ -181,7 +220,7 @@ def main():
             2. **LLM-Based Prediction**:
             - Optionally, you can also get your MBTI type based on the answers using a language model (LLM) like GPT-4. This provides an additional prediction that may offer insights into your personality.
             - The LLM is trained on vast amounts of data and can generate responses based on patterns from psychological research and real-world interactions.
-            """)
+        """)
     
     if api_key:
         show_mbti_quiz()