python3 -c " import pdfplumber with pdfplumber.open('/tmp/workspace/attachments/7a031ae3-ca05-4ad9-97d2-3e811e0b5695/Sandhya .pdf') as pdf: print(f'Total pages: {len(pdf.pages)}') for i, page in enumerate(pdf.pages, 1): text = page.extract_text() print(f'--- PAGE {i} ---') print(text) print() "

python3 -c " from pptx import Presentation prs = Presentation('/tmp/workspace/attachments/7a031ae3-ca05-4ad9-97d2-3e811e0b5695/5_6095778492585089495 (1).pptx') print(f'Total slides: {len(prs.slides)}') for i, slide in enumerate(prs.slides, 1): print(f'--- SLIDE {i} ---') for shape in slide.shapes: if shape.has_text_frame and shape.text_frame.text.strip(): print(f'[{shape.name}]: {shape.text_frame.text}') print() "

python3 -c " from pypdf import PdfReader reader = PdfReader('/tmp/workspace/attachments/7a031ae3-ca05-4ad9-97d2-3e811e0b5695/Sandhya .pdf') print(f'Pages: {len(reader.pages)}') # Check if there are images for i, page in enumerate(reader.pages[:5], 1): print(f'Page {i}: images={len(page.images)}, text={repr(page.extract_text()[:200])}') "

python3 -c " import os from pypdf import PdfReader reader = PdfReader('/tmp/workspace/attachments/7a031ae3-ca05-4ad9-97d2-3e811e0b5695/Sandhya .pdf') os.makedirs('/tmp/workspace/sandhya_pages', exist_ok=True) # Extract images from first 20 pages for i, page in enumerate(reader.pages[:20], 1): if page.images: img = page.images[0] out = f'/tmp/workspace/sandhya_pages/page_{i:02d}.jpg' with open(out, 'wb') as f: f.write(img.data) print(f'Saved page {i}: {out} ({len(img.data)} bytes)') print('Done') "

python3 -c " # Try using pdf2image and pytesseract for OCR import subprocess result = subprocess.run(['python3', '-c', 'import pytesseract; print(\"pytesseract available\")'], capture_output=True, text=True) print('pytesseract:', result.stdout, result.stderr) result2 = subprocess.run(['python3', '-c', 'import pdf2image; print(\"pdf2image available\")'], capture_output=True, text=True) print('pdf2image:', result2.stdout, result2.stderr) result3 = subprocess.run(['python3', '-c', 'from PIL import Image; print(\"PIL available\")'], capture_output=True, text=True) print('PIL:', result3.stdout, result3.stderr) "

pip install --user pytesseract 2>&1 | tail -3; tesseract --version 2>&1 | head -2

python3 -c " # Try using markitdown as another approach import subprocess result = subprocess.run(['python3', '-m', 'markitdown', '/tmp/workspace/attachments/7a031ae3-ca05-4ad9-97d2-3e811e0b5695/Sandhya .pdf'], capture_output=True, text=True) print('STDOUT:', result.stdout[:3000]) print('STDERR:', result.stderr[:1000]) "

python3 -c " # Use pdf2image to convert pages then use PIL to encode as base64 for display from pdf2image import convert_from_path import base64, io pages = convert_from_path('/tmp/workspace/attachments/7a031ae3-ca05-4ad9-97d2-3e811e0b5695/Sandhya .pdf', first_page=1, last_page=5, dpi=200) for i, page in enumerate(pages, 1): page.save(f'/tmp/workspace/sandhya_pages/hires_page_{i:02d}.png') print(f'Saved hires page {i}') print('Done') "

python3 -c " from PIL import Image import os # Make smaller compressed versions for i in range(1, 6): path = f'/tmp/workspace/sandhya_pages/hires_page_{i:02d}.png' if os.path.exists(path): img = Image.open(path) # Resize to smaller ratio = 800 / max(img.size) new_size = (int(img.size[0]*ratio), int(img.size[1]*ratio)) img_resized = img.resize(new_size, Image.LANCZOS) out = f'/tmp/workspace/sandhya_pages/small_page_{i:02d}.jpg' img_resized.save(out, 'JPEG', quality=85) print(f'Page {i}: {img.size} -> {new_size}, saved {os.path.getsize(out)} bytes to {out}') "

python3 -c " from pdf2image import convert_from_path from PIL import Image import os # Convert pages 6-20 and make small versions pages = convert_from_path('/tmp/workspace/attachments/7a031ae3-ca05-4ad9-97d2-3e811e0b5695/Sandhya .pdf', first_page=6, last_page=20, dpi=200) for i, page in enumerate(pages, 6): ratio = 800 / max(page.size) new_size = (int(page.size[0]*ratio), int(page.size[1]*ratio)) page_resized = page.resize(new_size, Image.LANCZOS) out = f'/tmp/workspace/sandhya_pages/small_page_{i:02d}.jpg' page_resized.save(out, 'JPEG', quality=85) print(f'Saved page {i}') print('Done') "

python3 << 'PYEOF' from pptx import Presentation from pptx.util import Inches, Pt, Emu from pptx.dml.color import RGBColor from pptx.enum.text import PP_ALIGN from pptx.util import Inches, Pt from copy import deepcopy import copy # Load the reference PPT to use as template prs = Presentation('/tmp/workspace/attachments/7a031ae3-ca05-4ad9-97d2-3e811e0b5695/5_6095778492585089495 (1).pptx') # Check slide dimensions print(f"Slide width: {prs.slide_width.inches:.2f} in") print(f"Slide height: {prs.slide_height.inches:.2f} in") print(f"Number of slides: {len(prs.slides)}") # Check slide layouts print("\nSlide layouts:") for i, layout in enumerate(prs.slide_layouts): print(f" {i}: {layout.name}") PYEOF

mkdir -p /tmp/workspace/sandhya_soap && python3 << 'PYEOF' from pptx import Presentation from pptx.util import Inches, Pt, Emu from pptx.dml.color import RGBColor from pptx.enum.text import PP_ALIGN from pptx.oxml.ns import qn from pptx.util import Inches, Pt from lxml import etree import copy # ── Colours matching reference PPT ────────────────────────────────────── DARK_BLUE = RGBColor(0x1F, 0x39, 0x64) # title slide bg MID_BLUE = RGBColor(0x2E, 0x74, 0xB5) # section headers LIGHT_BLUE = RGBColor(0xBD, 0xD7, 0xEE) # subtle highlight WHITE = RGBColor(0xFF, 0xFF, 0xFF) NEAR_BLACK = RGBColor(0x10, 0x10, 0x10) YELLOW = RGBColor(0xFF, 0xC0, 0x00) # accent # ── Helpers ────────────────────────────────────────────────────────────── def new_prs(): prs = Presentation() prs.slide_width = Inches(13.33) prs.slide_height = Inches(7.50) return prs def blank_slide(prs): layout = prs.slide_layouts[6] # Blank return prs.slides.add_slide(layout) def set_bg(slide, color: RGBColor): bg = slide.background fill = bg.fill fill.solid() fill.fore_color.rgb = color def add_textbox(slide, text, l, t, w, h, font_size=20, bold=False, color=WHITE, align=PP_ALIGN.LEFT, wrap=True): txb = slide.shapes.add_textbox(Inches(l), Inches(t), Inches(w), Inches(h)) tf = txb.text_frame tf.word_wrap = wrap p = tf.paragraphs[0] p.alignment = align run = p.add_run() run.text = text run.font.size = Pt(font_size) run.font.bold = bold run.font.color.rgb = color return txb def add_rect(slide, l, t, w, h, fill_color: RGBColor, line_color=None): shape = slide.shapes.add_shape( 1, # MSO_SHAPE_TYPE.RECTANGLE Inches(l), Inches(t), Inches(w), Inches(h)) shape.fill.solid() shape.fill.fore_color.rgb = fill_color if line_color: shape.line.color.rgb = line_color else: shape.line.fill.background() return shape def add_para(tf, text, font_size=16, bold=False, color=NEAR_BLACK, align=PP_ALIGN.LEFT, space_before=0): p = tf.add_paragraph() p.alignment = align p.space_before = Pt(space_before) run = p.add_run() run.text = text run.font.size = Pt(font_size) run.font.bold = bold run.font.color.rgb = color return p def section_slide(prs, title): """Dark blue slide with centred white title – mirrors reference section headers.""" slide = blank_slide(prs) set_bg(slide, DARK_BLUE) # Decorative top bar add_rect(slide, 0, 0, 13.33, 0.18, MID_BLUE) # Bottom bar add_rect(slide, 0, 7.32, 13.33, 0.18, MID_BLUE) # Title centred add_textbox(slide, title, 0.5, 2.8, 12.33, 1.5, font_size=44, bold=True, color=WHITE, align=PP_ALIGN.CENTER) return slide def content_slide(prs, title, body_lines, title_color=MID_BLUE, font_size=17, bullet=True): """White content slide with blue title bar.""" slide = blank_slide(prs) set_bg(slide, WHITE) # Title bar add_rect(slide, 0, 0, 13.33, 1.0, DARK_BLUE) add_textbox(slide, title, 0.3, 0.08, 12.7, 0.84, font_size=28, bold=True, color=WHITE, align=PP_ALIGN.LEFT) # Bottom accent add_rect(slide, 0, 7.32, 13.33, 0.18, MID_BLUE) # Body text box txb = slide.shapes.add_textbox(Inches(0.4), Inches(1.15), Inches(12.5), Inches(6.0)) tf = txb.text_frame tf.word_wrap = True first = True for line in body_lines: if first: p = tf.paragraphs[0] first = False else: p = tf.add_paragraph() p.alignment = PP_ALIGN.LEFT p.space_before = Pt(2) run = p.add_run() prefix = "• " if bullet and line and not line.startswith(" ") else "" run.text = prefix + line run.font.size = Pt(font_size) run.font.color.rgb = NEAR_BLACK return slide def two_col_slide(prs, title, left_title, left_lines, right_title, right_lines, font_size=15): slide = blank_slide(prs) set_bg(slide, WHITE) add_rect(slide, 0, 0, 13.33, 1.0, DARK_BLUE) add_textbox(slide, title, 0.3, 0.08, 12.7, 0.84, font_size=28, bold=True, color=WHITE, align=PP_ALIGN.LEFT) add_rect(slide, 0, 7.32, 13.33, 0.18, MID_BLUE) # Left column add_rect(slide, 0.3, 1.1, 5.9, 0.45, MID_BLUE) add_textbox(slide, left_title, 0.35, 1.1, 5.8, 0.45, font_size=16, bold=True, color=WHITE) txb = slide.shapes.add_textbox(Inches(0.4), Inches(1.6), Inches(5.8), Inches(5.6)) tf = txb.text_frame; tf.word_wrap = True; first = True for line in left_lines: p = tf.paragraphs[0] if first else tf.add_paragraph() first = False p.alignment = PP_ALIGN.LEFT; p.space_before = Pt(2) run = p.add_run(); run.text = "• " + line if line else "" run.font.size = Pt(font_size); run.font.color.rgb = NEAR_BLACK # Right column add_rect(slide, 6.8, 1.1, 6.2, 0.45, MID_BLUE) add_textbox(slide, right_title, 6.85, 1.1, 6.1, 0.45, font_size=16, bold=True, color=WHITE) txb2 = slide.shapes.add_textbox(Inches(6.9), Inches(1.6), Inches(6.1), Inches(5.6)) tf2 = txb2.text_frame; tf2.word_wrap = True; first2 = True for line in right_lines: p = tf2.paragraphs[0] if first2 else tf2.add_paragraph() first2 = False p.alignment = PP_ALIGN.LEFT; p.space_before = Pt(2) run = p.add_run(); run.text = "• " + line if line else "" run.font.size = Pt(font_size); run.font.color.rgb = NEAR_BLACK return slide # ════════════════════════════════════════════════════════════════════════ prs = new_prs() # ── SLIDE 1 : Title ────────────────────────────────────────────────────── slide1 = blank_slide(prs) set_bg(slide1, DARK_BLUE) add_rect(slide1, 0, 0, 13.33, 0.20, MID_BLUE) add_rect(slide1, 0, 7.30, 13.33, 0.20, MID_BLUE) # Gold horizontal rule add_rect(slide1, 1.5, 2.55, 10.33, 0.06, YELLOW) add_rect(slide1, 1.5, 4.85, 10.33, 0.06, YELLOW) add_textbox(slide1, "SECOND SESSIONAL PRACTICAL EXAMINATION", 0.5, 0.6, 12.33, 0.9, font_size=24, bold=True, color=YELLOW, align=PP_ALIGN.CENTER) add_textbox(slide1, "PHARMACOTHERAPEUTICS - I", 0.5, 1.55, 12.33, 0.9, font_size=32, bold=True, color=WHITE, align=PP_ALIGN.CENTER) add_textbox(slide1, "SOAP ANALYSIS", 0.5, 2.65, 12.33, 0.9, font_size=40, bold=True, color=WHITE, align=PP_ALIGN.CENTER) add_textbox(slide1, "CASE OF ACUTE EXACERBATION OF BRONCHIAL ASTHMA", 0.5, 3.55, 12.33, 0.75, font_size=22, bold=True, color=YELLOW, align=PP_ALIGN.CENTER) add_textbox(slide1, "Presented by,\nSandhiya K\n2nd Pharm D", 0.5, 4.95, 12.33, 1.3, font_size=18, bold=False, color=WHITE, align=PP_ALIGN.CENTER) # ── SLIDE 2 : SUBJECTIVE section header ────────────────────────────────── section_slide(prs, "SUBJECTIVE") # ── SLIDE 3 : Chief Complaints + HPI ───────────────────────────────────── content_slide(prs, "SUBJECTIVE", [ "Patient: Mrs. K. Sandhiya | Age/Sex: 27 years / Female", "IP No.: IP260406067 | UHID: 2507170487", "Date of Admission: 06-April-2026 at 1:08 PM", "Ward: Female Medical Unit-1 (RM-I), Nandha Medical College & Hospital", "Unit Chief: Dr. N. Sathya", "", "CHIEF COMPLAINTS", " c/o Chest tightness ─ 6 days", " c/o Cough with expectoration ─ 6 days", " c/o Running nose ─ 6 days", " c/o Fever ─ 3 days back", " H/O Loss of weight (8 kg in 20 days)", " H/O Loss of appetite", " H/O Nausea", " H/O Insomnia | H/O Disturbed sleep x 10 days", " No H/O chest pain / palpitation", " No H/O abdominal pain / burning micturition", " No H/O pet / dust / allergy exposure", ], font_size=16) # ── SLIDE 4 : Past History + Personal History ──────────────────────────── two_col_slide(prs, "SUBJECTIVE – History", "HISTORY OF PRESENT ILLNESS", [ "Patient with k/c/o Bronchial Asthma since 14 years", "On inhaler (Tiova Rotacaps 2 puff OD + Budamate Rotacaps 2 puff OD)", "Presented with chest tightness, cough with expectoration, running nose × 6 days", "Fever 3 days back", "Received from Respiratory Medicine Dept → General Medicine ward", "Shortness of breath × 3 days", "No specific complaints on review", ], "PAST HISTORY", [ "Known wheeze / Bronchial Asthma – 14 years", "On inhaler treatment", "NKICLO: DM, HTN, Seizures", "Nil surgical history", "Nil surgical / blood transfusion history", "", "FAMILY HISTORY: Nil significant", "", "PERSONAL HISTORY", "Mixed diet", "Insomnia present", "Normal bowel & bladder habits", "Menstrual History: Menarche @ 14 yrs; Regular 3-4/30; no clots/pain; 5 pads/day", ], font_size=14) # ── SLIDE 5 : OBJECTIVE section header ─────────────────────────────────── section_slide(prs, "OBJECTIVE") # ── SLIDE 6 : General Examination + Vitals ─────────────────────────────── two_col_slide(prs, "OBJECTIVE – General & Systemic Examination", "GENERAL EXAMINATION", [ "Conscious, Oriented, Afebrile", "Temperature : 98 °F", "Blood Pressure : 110/60 mmHg", "Pulse Rate : 86 beats/min", "Respiratory Rate : 20 breaths/min", "SpO₂ : 98 % @ Room Air", "Weight : 59 kg", "", "No Clubbing", "No Cyanosis", "No Jaundice", "No Pedal Oedema", "No Anaemia (clinically)", ], "SYSTEMIC EXAMINATION", [ "CVS : S1 S2 heard, no murmur", "RS : BAE +, Bilateral scattered wheeze present", "P/A : Soft, Non-tender", "CNS : No focal neurological deficit (NFND)", "", "On review (06-04-2026 8 PM):", " BP 110/80 | PR 82 | RR 20 | SpO₂ 98% | T 97.6 °F", " RS: BAE+, Bilateral wheeze +", "", "On review (07-04-2026):", " BP 120/80 | PR 85 | RR 19 | SpO₂ 99% | T 97.1 °F", " RS: BAE+, B/L wheeze +", "", "On review (08-04-2026):", " BP 110/70 | PR 79 | RR 18 | SpO₂ 98% | T 97.5 °F", " RS: BAE+, wheeze mild", ], font_size=13) # ── SLIDE 7 : Lab Investigations ───────────────────────────────────────── two_col_slide(prs, "OBJECTIVE – Laboratory Investigations", "HAEMATOLOGY & BIOCHEMISTRY (06-04-2026)", [ "CBC:", " Hb : 10.9 g/dL (↓ – Microcytic Anaemia)", " WBC : 9,800 cells/µL", " Platelets : 5,24,000 /µL", " PCV : 32.4 %", " MCV : 67.7 fL (↓)", " MCH : 22.8 pg (↓)", "", "RBS : 148 mg/dL", "CRP : Negative (4.44 mg/dL)", "", "LFT:", " Total Bilirubin : 0.44 mg/dL", " SGOT : 14 IU/L", " SGPT : 13 IU/L", " S. Globulin : 2.3 g/dL", "", "RFT:", " S. Urea : 26 mg/dL", " S. Creatinine : 0.7 mg/dL", ], "INVESTIGATIONS (cont.)", [ "Serum Electrolytes:", " Na⁺ : 138 mEq/L (Normal)", " K⁺ : 3.8 mEq/L (Normal)", " Cl⁻ : 104 mEq/L (Normal)", "", "Urine Routine/Examination:", " pH : 5.0 – 5.5", " Protein : Trace", " Sugar : Nil", " Ketone : Negative", " Pus cells : 4–6 /HPF", " RBC : 1–2 /HPF", " Bacteria : ++ (UTI likely)", "", "Pending Investigations:", " Chest X-ray PA view", " ECG", " Sputum C/S", " Urine C/S (follow-up)", " Peak Flow Rate / Spirometry", ], font_size=13) # ── SLIDE 8 : ASSESSMENT (Diagnosis) ────────────────────────────────────── section_slide(prs, "ASSESSMENT") content_slide(prs, "ASSESSMENT – Diagnosis", [ "PROVISIONAL DIAGNOSIS (Admission)", " ALE of BA → Acute Exacerbation of Bronchial Asthma", "", "FINAL DIAGNOSIS", " Acute Exacerbation of Bronchial Asthma (AE of BA)", " + Concurrent Urinary Tract Infection (Urine: Bacteria ++, Pus cells 4-6)", " + Microcytic Hypochromic Anaemia (Hb 10.9, MCV 67.7, MCH 22.8)", "", "CLINICAL REASONING", " Triggers: Possible RTI (cough + expectoration + running nose + low-grade fever)", " Bronchospasm evidenced by: Bilateral scattered wheeze, RR 20/min, SpO₂ 98%", " Known asthmatic (14 yrs) – stepped down treatment at home with inhalers", " Fever resolved – CRP mildly elevated (4.44) suggesting resolving infection", " Weight loss 8 kg / 20 days → monitor for other causes", " Urine bacteria ++ → antibiotic cover added (Norflox / Taxim)", " Insomnia documented – assess for steroid-induced or anxiety-related cause", ], font_size=16) # ── SLIDE 9 : PLAN section header ──────────────────────────────────────── section_slide(prs, "PLAN") # ── SLIDE 10 : Drug Chart ──────────────────────────────────────────────── content_slide(prs, "PLAN – Drug Chart (In-Patient Treatment)", [ "INJECTIONS (IV)", " 1. Inj. TAXIM (Cefotaxime) 1 g IV BD [ATD] – Antibiotic for RTI/UTI", " 2. Inj. HYDROCORT (Hydrocortisone) 100 mg IV BD – Anti-inflammatory / Bronchodilator", " 3. Inj. MgSO₄ 2 g in 100 mL NS IV OD over 20 mins – Bronchospasm relief", " 4. Inj. PAN (Pantoprazole) 40 mg IV BD – Gastroprotection (steroid cover)", " 5. Inj. DERIPHYLLINE (Etofylline + Theophylline) 2 cc IV BD – Bronchodilator", " 6. Inj. EMESET (Ondansetron) 4 mg IV 1-0-1 – Anti-emetic", "", "ORAL TABLETS", " 7. T. AZEE (Azithromycin) 500 mg 1-0-0 – Antibiotic (atypical cover)", " 8. T. MONDESELOR (Montelukast + Desloratadine) 1-0-1 – Leukotriene antagonist", " 9. T. PULMOLEAR (Acebrophylline) 1-0-1 – Mucolytic + Bronchodilator", " 10. T. PARA (Paracetamol) 500 mg 1-1-1 – Antipyretic / Analgesic", "", "NEBULISATIONS", " 11. Neb. DUOLIN + BUDECORT Q8H – Ipratropium + Salbutamol / Budesonide", " 12. Neb. NAC (N-Acetylcysteine) TDS – Mucolytic", "", "SYRUPS", " 13. Syp. ASCORIL LS 5 mL TDS – Expectorant (Levosalbutamol + Bromhexine)", " 14. Fluticasone Nasal Spray HS – Nasal corticosteroid for rhinitis", " 15. Syp. LACTULOSE 15 mL HS – Laxative (constipation precaution on opioids/codeine)", " 16. T. NORFLOX 100 mg 1-0-1 – Added for UTI (Bacteria ++ urine)", ], font_size=14) # ── SLIDE 11 : Non-pharmacological Plan ───────────────────────────────── content_slide(prs, "PLAN – Non-Pharmacological & Monitoring", [ "NON-PHARMACOLOGICAL MEASURES", " Bed rest; head-end elevation (semi-Fowler's position)", " Avoid known triggers: dust, smoke, cold air, allergens", " Adequate hydration (oral); Nutritious diet for weight gain", " Regular nebulization technique education", " Incentive spirometry / breathing exercises post-acute phase", " Patient counselled on inhaler technique (Tiova + Budamate Rotacaps)", "", "MONITORING PARAMETERS", " Vitals (BP, PR, RR, SpO₂, Temperature) – every 8 hours", " Peak Expiratory Flow Rate (PEFR) – daily", " Chest X-ray PA view – initial + follow-up", " CBC, S. Electrolytes – repeat as clinically indicated", " Urine C/S – follow-up to guide antibiotic change if needed", " Sputum C/S – to guide antibiotic sensitivity", " Blood glucose monitoring (steroid-induced hyperglycaemia – RBS 148 mg/dL on Day 1)", " Watch for hypokalaemia (Salbutamol + IV MgSO₄)", " Theophylline toxicity signs (Deriphylline): nausea, palpitation, tremors", ], font_size=16) # ── SLIDE 12 : Discharge Summary ──────────────────────────────────────── content_slide(prs, "PLAN – Discharge Summary", [ "Patient showed progressive clinical improvement:", " Day 1 → Day 4: wheeze decreased from 'scattered' to 'mild'", " Afebrile from Day 2 onwards", " No specific complaints on daily review", " SpO₂ maintained ≥ 98% on room air throughout", "", "DISCHARGE MEDICATIONS", " 1. T. Azithromycin (Azee) 500 mg 1-0-0", " 2. T. Montelukast+Desloratadine (Mondeselor) 1-0-1", " 3. T. Acebrophylline (Pulmolear) 1-0-1", " 4. T. Paracetamol 500 mg 1-1-1 (SOS)", " 5. Neb. Duolin + Budecort Q8H", " 6. Neb. NAC TDS", " 7. Syp. Ascoril LS 5 mL TDS", " 8. Fluticasone Nasal Spray HS", " 9. Syp. Lactulose 15 mL HS", " 10. T. Norflox 100 mg 1-0-1 (complete course)", "", "DISCHARGE ADVICE", " Continue home inhalers: Tiova Rotacaps + Budamate Rotacaps as prescribed", " Avoid triggers; follow-up in Respiratory Medicine OPD within 1 week", " Repeat CBC / Urine C/S at follow-up", " Return if breathlessness / wheeze worsens", ], font_size=15) # ── SLIDE 13 : Thank You ───────────────────────────────────────────────── slide13 = blank_slide(prs) set_bg(slide13, DARK_BLUE) add_rect(slide13, 0, 0, 13.33, 0.20, MID_BLUE) add_rect(slide13, 0, 7.30, 13.33, 0.20, MID_BLUE) add_rect(slide13, 1.5, 3.45, 10.33, 0.06, YELLOW) add_textbox(slide13, "THANK YOU", 0.5, 3.0, 12.33, 1.5, font_size=52, bold=True, color=WHITE, align=PP_ALIGN.CENTER) # ── Save ───────────────────────────────────────────────────────────────── out = "/tmp/workspace/sandhya_soap/Sandhya_SOAP_Analysis.pptx" prs.save(out) print(f"Saved: {out}") PYEOF

python3 -c " from pptx import Presentation prs = Presentation('/tmp/workspace/sandhya_soap/Sandhya_SOAP_Analysis.pptx') print(f'Slides: {len(prs.slides)}') for i, slide in enumerate(prs.slides, 1): texts = [] for shape in slide.shapes: if shape.has_text_frame: t = shape.text_frame.text.strip() if t: texts.append(t[:80]) print(f'Slide {i}: {\" | \".join(texts[:3])}') "