Update app.py

app.py

@@ -53,64 +53,6 @@ def highlight_relevant_text(context, start, end):
     )
     return highlighted_text
 
-def find_system_font():
-    # Adjust this function to find a suitable font
-    font_dirs = ["/usr/share/fonts", "/usr/local/share/fonts"]
-    for font_dir in font_dirs:
-        ttf_files = glob.glob(os.path.join(font_dir, "**/NotoSans*.ttf"), recursive=True)
-        if ttf_files:
-            return ttf_files[0]  # Return the first found NotoSans font
-    raise FileNotFoundError("No suitable TTF font file found in system font directories.")
-
-def generate_pdf_report(question, answer, score, score_explanation, score_chart, highlighted_context):
-    pdf = FPDF()
-    pdf.add_page()
-
-    # Find and use a comprehensive Unicode font like NotoSans
-    font_path = find_system_font()
-    pdf.add_font("NotoSans", "", font_path)
-    pdf.set_font("NotoSans", size=12)
-
-    pdf.multi_cell(0, 10, f"Question: {question}")
-    pdf.ln()
-
-    pdf.set_font("NotoSans", size=12)
-    pdf.multi_cell(0, 10, f"Answer: {answer}")
-    pdf.ln()
-
-    pdf.set_font("NotoSans", size=12)
-    pdf.multi_cell(0, 10, f"Confidence Score: {score}")
-    pdf.ln()
-
-    pdf.set_font("NotoSans", size=12)
-    pdf.multi_cell(0, 10, f"Score Explanation: {score_explanation}")
-    pdf.ln()
-
-    pdf.set_font("NotoSans", size=12)
-    pdf.multi_cell(0, 10, "Highlighted Context:")
-    pdf.ln()
-    pdf.set_font("NotoSans", size=10)
-    pdf.multi_cell(0, 10, highlighted_context)
-    pdf.ln()
-
-    # Handle the image as a temporary file
-    score_chart_image = io.BytesIO(base64.b64decode(score_chart))
-    with tempfile.NamedTemporaryFile(delete=False, suffix='.png') as tmpfile:
-        tmpfile.write(score_chart_image.read())
-        tmpfile.flush()
-        tmpfile.close()
-        pdf.image(tmpfile.name, x=10, y=pdf.get_y(), w=100)
-
-    # Save PDF to memory
-    pdf_output = io.BytesIO()
-    pdf.output(pdf_output)
-    pdf_output.seek(0)
-
-    # Clean up temporary file
-    os.remove(tmpfile.name)
-
-    return pdf_output
-
 def answer_question(model_name, file, question, status):
     status = "Loading model..."
     model = load_model(model_name)