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from fastapi.responses import JSONResponse, FileResponse, Response
from fastapi.middleware.cors import CORSMiddleware
import uvicorn
import os
import io
import requests
from PIL import Image
import json
import textwrap
import time
from datetime import datetime
import tempfile
import subprocess
import shutil
app = FastAPI(title="CONVERTLY API", version="2.0.0")
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
HF_TOKEN = os.getenv("HF_TOKEN", "")
# ===== PDF GENERATION =====
def create_clean_pdf(text_content):
"""Create a clean PDF with ONLY the content"""
try:
from reportlab.lib.pagesizes import A4
from reportlab.lib.units import inch, cm
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.lib.enums import TA_LEFT, TA_JUSTIFY
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer
from reportlab.lib import colors
buffer = io.BytesIO()
doc = SimpleDocTemplate(
buffer,
pagesize=A4,
rightMargin=2.54 * cm,
leftMargin=2.54 * cm,
topMargin=2.54 * cm,
bottomMargin=2.54 * cm,
)
styles = getSampleStyleSheet()
body_style = ParagraphStyle(
'CustomBody',
parent=styles['Normal'],
fontSize=11,
fontName='Helvetica',
alignment=TA_JUSTIFY,
spaceAfter=8,
leading=16,
textColor=colors.HexColor('#333333')
)
heading_style = ParagraphStyle(
'CustomHeading',
parent=styles['Heading2'],
fontSize=14,
fontName='Helvetica-Bold',
alignment=TA_LEFT,
spaceAfter=10,
spaceBefore=15,
textColor=colors.HexColor('#2d2d44')
)
story = []
if text_content:
paragraphs = []
raw_paragraphs = text_content.split('\n\n')
for para in raw_paragraphs:
cleaned = para.strip()
if cleaned:
cleaned = ' '.join(cleaned.split())
paragraphs.append(cleaned)
for i, para in enumerate(paragraphs):
is_heading = len(para) < 60 and not para.endswith('.') and not para.endswith('?') and not para.endswith('!')
is_heading = is_heading or (len(para.split()) < 8 and not para.endswith('.'))
if is_heading and i < len(paragraphs) - 1:
story.append(Paragraph(para, heading_style))
else:
if len(para) > 800:
sentences = para.split('. ')
for j, sentence in enumerate(sentences):
if sentence.strip():
if j < len(sentences) - 1:
story.append(Paragraph(sentence + '.', body_style))
else:
story.append(Paragraph(sentence, body_style))
else:
story.append(Paragraph(para, body_style))
if i < len(paragraphs) - 1:
story.append(Spacer(1, 0.05 * inch))
doc.build(story)
buffer.seek(0)
return buffer.getvalue()
except Exception as e:
print(f"PDF error: {e}")
return text_content.encode('utf-8')
# ===== CONVERSION FUNCTIONS =====
def convert_docx_to_pdf(docx_bytes):
"""Convert DOCX to PDF"""
try:
from docx import Document
doc = Document(io.BytesIO(docx_bytes))
full_text = []
for para in doc.paragraphs:
if para.text.strip():
full_text.append(para.text.strip())
# Extract tables
for table in doc.tables:
for row in table.rows:
row_text = []
for cell in row.cells:
if cell.text.strip():
row_text.append(cell.text.strip())
if row_text:
full_text.append(' | '.join(row_text))
text_content = '\n\n'.join(full_text) if full_text else "No text content found."
return create_clean_pdf(text_content)
except Exception as e:
print(f"DOCX to PDF error: {e}")
return docx_bytes
def convert_pdf_to_docx(pdf_bytes):
"""Convert PDF to DOCX"""
try:
from PyPDF2 import PdfReader
from docx import Document
pdf = PdfReader(io.BytesIO(pdf_bytes))
doc = Document()
for page in pdf.pages:
text = page.extract_text()
if text and text.strip():
paragraphs = text.split('\n\n')
for para in paragraphs:
if para.strip():
cleaned = ' '.join(para.split())
doc.add_paragraph(cleaned)
else:
doc.add_paragraph("[No text extracted]")
buffer = io.BytesIO()
doc.save(buffer)
buffer.seek(0)
return buffer.getvalue()
except Exception as e:
print(f"PDF to DOCX error: {e}")
return pdf_bytes
def convert_ppt_to_pdf(pptx_bytes):
"""Convert PPTX to PDF - Extract text from slides"""
try:
from pptx import Presentation
from reportlab.lib.pagesizes import A4
from reportlab.lib.units import inch, cm
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, PageBreak
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.lib.enums import TA_LEFT, TA_CENTER, TA_JUSTIFY
from reportlab.lib import colors
prs = Presentation(io.BytesIO(pptx_bytes))
buffer = io.BytesIO()
doc = SimpleDocTemplate(
buffer,
pagesize=A4,
rightMargin=2.54 * cm,
leftMargin=2.54 * cm,
topMargin=2.54 * cm,
bottomMargin=2.54 * cm,
)
styles = getSampleStyleSheet()
title_style = ParagraphStyle(
'SlideTitle',
parent=styles['Heading2'],
fontSize=16,
fontName='Helvetica-Bold',
alignment=TA_CENTER,
spaceAfter=15,
textColor=colors.HexColor('#1a1a2e')
)
body_style = ParagraphStyle(
'SlideBody',
parent=styles['Normal'],
fontSize=11,
fontName='Helvetica',
alignment=TA_LEFT,
spaceAfter=6,
leading=16,
textColor=colors.HexColor('#333333')
)
story = []
for slide_num, slide in enumerate(prs.slides, 1):
# Slide title
slide_texts = []
for shape in slide.shapes:
if hasattr(shape, "text") and shape.text:
text = shape.text.strip()
if text:
slide_texts.append(text)
if slide_texts:
# First text is usually the title
story.append(Paragraph(f"Slide {slide_num}: {slide_texts[0]}", title_style))
story.append(Spacer(1, 0.1 * inch))
# Rest are content
for text in slide_texts[1:]:
if text:
story.append(Paragraph(text, body_style))
story.append(Spacer(1, 0.05 * inch))
else:
story.append(Paragraph(f"Slide {slide_num} - No text", title_style))
if slide_num < len(prs.slides):
story.append(PageBreak())
doc.build(story)
buffer.seek(0)
return buffer.getvalue()
except Exception as e:
print(f"PPT to PDF error: {e}")
# Fallback: create simple PDF
return create_clean_pdf(f"PowerPoint Presentation\n\nError extracting slides: {str(e)}")
def convert_pdf_to_ppt(pdf_bytes):
"""Convert PDF to PPTX"""
try:
from pptx import Presentation
from PyPDF2 import PdfReader
prs = Presentation()
content_slide_layout = prs.slide_layouts[1]
pdf = PdfReader(io.BytesIO(pdf_bytes))
for page_num, page in enumerate(pdf.pages, 1):
slide = prs.slides.add_slide(content_slide_layout)
title = slide.shapes.title
content = slide.placeholders[1]
title.text = f"Page {page_num}"
text = page.extract_text()
if text and text.strip():
content.text = text[:1000] + "..." if len(text) > 1000 else text
else:
content.text = "No text extracted from this page"
buffer = io.BytesIO()
prs.save(buffer)
buffer.seek(0)
return buffer.getvalue()
except Exception as e:
print(f"PDF to PPT error: {e}")
return pdf_bytes
def convert_pptx_to_ppt(pptx_bytes):
"""Convert PPTX to PPT (older format) - Just return as is for now"""
return pptx_bytes
def convert_ppt_to_pptx(ppt_bytes):
"""Convert PPT to PPTX (newer format) - Just return as is for now"""
return ppt_bytes
def convert_pdf_to_excel(pdf_bytes):
"""Convert PDF to Excel"""
try:
import openpyxl
from openpyxl.styles import Font, PatternFill
from PyPDF2 import PdfReader
wb = openpyxl.Workbook()
ws = wb.active
ws.title = "Extracted Data"
header_font = Font(bold=True, color="FFFFFF")
header_fill = PatternFill(start_color="4F46E5", end_color="4F46E5", fill_type="solid")
pdf = PdfReader(io.BytesIO(pdf_bytes))
row = 1
ws.cell(row=row, column=1, value="Page")
ws.cell(row=row, column=2, value="Content")
ws.cell(row=row, column=1).font = header_font
ws.cell(row=row, column=1).fill = header_fill
ws.cell(row=row, column=2).font = header_font
ws.cell(row=row, column=2).fill = header_fill
row += 1
for page_num, page in enumerate(pdf.pages, 1):
text = page.extract_text()
if text:
lines = text.split('\n')
for line in lines:
if line.strip():
ws.cell(row=row, column=1, value=page_num)
ws.cell(row=row, column=2, value=line.strip()[:500])
row += 1
for column in ws.columns:
max_length = 0
for cell in column:
try:
if len(str(cell.value)) > max_length:
max_length = len(str(cell.value))
except:
pass
adjusted_width = min(max_length + 2, 50)
ws.column_dimensions[column[0].column_letter].width = adjusted_width
buffer = io.BytesIO()
wb.save(buffer)
buffer.seek(0)
return buffer.getvalue()
except Exception as e:
print(f"PDF to Excel error: {e}")
return pdf_bytes
def convert_excel_to_pdf(excel_bytes):
"""Convert Excel to PDF"""
try:
import openpyxl
from reportlab.lib.pagesizes import A4, landscape
from reportlab.lib import colors
from reportlab.lib.units import inch, cm
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.lib.enums import TA_CENTER, TA_LEFT
wb = openpyxl.load_workbook(io.BytesIO(excel_bytes))
ws = wb.active
buffer = io.BytesIO()
doc = SimpleDocTemplate(
buffer,
pagesize=landscape(A4),
rightMargin=1.5 * cm,
leftMargin=1.5 * cm,
topMargin=2 * cm,
bottomMargin=2 * cm,
)
story = []
data = []
for row in ws.iter_rows(values=True):
row_data = [str(cell) if cell else '' for cell in row]
if any(row_data):
data.append(row_data)
if data:
table = Table(data)
table.setStyle(TableStyle([
('BACKGROUND', (0, 0), (-1, 0), colors.grey),
('TEXTCOLOR', (0, 0), (-1, 0), colors.whitesmoke),
('ALIGN', (0, 0), (-1, -1), 'CENTER'),
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'),
('FONTSIZE', (0, 0), (-1, 0), 10),
('BOTTOMPADDING', (0, 0), (-1, 0), 12),
('BACKGROUND', (0, 1), (-1, -1), colors.beige),
('GRID', (0, 0), (-1, -1), 1, colors.black)
]))
story.append(table)
doc.build(story)
buffer.seek(0)
return buffer.getvalue()
except Exception as e:
print(f"Excel to PDF error: {e}")
return excel_bytes
def convert_image_to_other(img_bytes, target_format):
"""Convert image to different format"""
try:
img = Image.open(io.BytesIO(img_bytes))
output = io.BytesIO()
fmt = target_format.upper()
if fmt == "JPG":
fmt = "JPEG"
if img.mode in ('RGBA', 'P'):
rgb_img = Image.new('RGB', img.size, (255, 255, 255))
rgb_img.paste(img, mask=img.split()[-1] if img.mode == 'RGBA' else None)
img = rgb_img
# Handle special formats
if fmt == "ICO":
img.save(output, format='ICO')
elif fmt == "WEBP":
img.save(output, format='WEBP', quality=95)
elif fmt == "GIF":
img.save(output, format='GIF')
elif fmt == "BMP":
img.save(output, format='BMP')
elif fmt == "TIFF":
img.save(output, format='TIFF')
else:
img.save(output, format=fmt, quality=95)
output.seek(0)
return output.getvalue()
except Exception as e:
print(f"Image conversion error: {e}")
return img_bytes
def call_hf_api(url, data, max_retries=3):
"""Call Hugging Face API with retry logic"""
if not HF_TOKEN:
return None
headers = {"Authorization": f"Bearer {HF_TOKEN}"}
for attempt in range(max_retries):
try:
response = requests.post(url, headers=headers, data=data, timeout=60)
if response.status_code == 200:
return response.content
elif response.status_code == 503:
time.sleep(2 ** attempt)
continue
else:
return None
except:
if attempt < max_retries - 1:
time.sleep(2 ** attempt)
continue
return None
return None
# ===== API ENDPOINTS =====
@app.get("/")
async def root():
return {
"name": "CONVERTLY API",
"version": "2.0.0",
"status": "operational",
"hf_token": "configured" if HF_TOKEN else "missing"
}
@app.get("/api/health")
async def health_check():
return {
"status": "healthy",
"hf_token": "configured" if HF_TOKEN else "missing",
"hf_token_length": len(HF_TOKEN) if HF_TOKEN else 0
}
@app.post("/api/convert")
async def convert_file(
file: UploadFile = File(...),
target_format: str = Form("pdf")
):
"""Universal file converter - handles all formats"""
try:
content = await file.read()
filename = file.filename or "file"
ext = filename.split('.')[-1].lower() if '.' in filename else ''
target = target_format.lower()
# Map source and target formats with conversion functions
format_map = {
# Document conversions
('docx', 'pdf'): ('application/pdf', 'pdf', convert_docx_to_pdf),
('doc', 'pdf'): ('application/pdf', 'pdf', convert_docx_to_pdf),
('pdf', 'docx'): ('application/vnd.openxmlformats-officedocument.wordprocessingml.document', 'docx', convert_pdf_to_docx),
('pdf', 'xlsx'): ('application/vnd.openxmlformats-officedocument.spreadsheetml.sheet', 'xlsx', convert_pdf_to_excel),
('pdf', 'pptx'): ('application/vnd.openxmlformats-officedocument.presentationml.presentation', 'pptx', convert_pdf_to_ppt),
('pdf', 'ppt'): ('application/vnd.ms-powerpoint', 'ppt', convert_pdf_to_ppt),
('xlsx', 'pdf'): ('application/pdf', 'pdf', convert_excel_to_pdf),
('xls', 'pdf'): ('application/pdf', 'pdf', convert_excel_to_pdf),
('pptx', 'pdf'): ('application/pdf', 'pdf', convert_ppt_to_pdf),
('ppt', 'pdf'): ('application/pdf', 'pdf', convert_ppt_to_pdf),
('pptx', 'ppt'): ('application/vnd.ms-powerpoint', 'ppt', convert_pptx_to_ppt),
('ppt', 'pptx'): ('application/vnd.openxmlformats-officedocument.presentationml.presentation', 'pptx', convert_ppt_to_pptx),
}
converter_key = (ext, target)
# Try direct conversion
if converter_key in format_map:
mime_type, out_ext, converter_func = format_map[converter_key]
try:
converted_content = converter_func(content)
return Response(
content=converted_content,
media_type=mime_type,
headers={
"Content-Disposition": f"attachment; filename=converted.{out_ext}",
"Content-Length": str(len(converted_content))
}
)
except Exception as e:
print(f"Conversion error: {e}")
# Try reverse conversion if direct not found
reverse_key = (target, ext)
if reverse_key in format_map:
mime_type, out_ext, converter_func = format_map[reverse_key]
# For reverse, we need to try converting the content differently
try:
# If we can't convert directly, try to extract text and create target
text_content = content.decode('utf-8', errors='ignore')
if target == 'pdf':
converted_content = create_clean_pdf(text_content)
return Response(
content=converted_content,
media_type='application/pdf',
headers={
"Content-Disposition": f"attachment; filename=converted.pdf",
"Content-Length": str(len(converted_content))
}
)
except:
pass
# Fallback: return original content as requested format
return Response(
content=content,
media_type='application/octet-stream',
headers={
"Content-Disposition": f"attachment; filename=converted.{target}",
"Content-Length": str(len(content))
}
)
except Exception as e:
return JSONResponse({"error": str(e)}, status_code=500)
@app.post("/api/convert-image")
async def convert_image(
file: UploadFile = File(...),
target_format: str = Form("png")
):
"""Convert image to different format"""
try:
content = await file.read()
converted = convert_image_to_other(content, target_format)
return Response(
content=converted,
media_type=f"image/{target_format.lower()}",
headers={
"Content-Disposition": f"attachment; filename=converted.{target_format.lower()}",
"Content-Length": str(len(converted))
}
)
except Exception as e:
return JSONResponse({"error": str(e)}, status_code=500)
@app.post("/api/extract-text")
async def extract_text(file: UploadFile = File(...)):
"""Extract text from image using OCR"""
if not HF_TOKEN:
return JSONResponse({"error": "HF_TOKEN not configured"}, status_code=401)
try:
image_bytes = await file.read()
url = "https://api-inference.huggingface.co/models/microsoft/trocr-large-printed"
result = call_hf_api(url, image_bytes)
if result:
text = result.decode('utf-8', errors='ignore')
return JSONResponse({"text": text, "success": True})
else:
return JSONResponse({"text": "OCR failed", "error": "OCR failed"}, status_code=500)
except Exception as e:
return JSONResponse({"error": str(e)}, status_code=500)
@app.post("/api/caption-image")
async def caption_image(file: UploadFile = File(...)):
"""Generate image caption"""
if not HF_TOKEN:
return JSONResponse({"error": "HF_TOKEN not configured"}, status_code=401)
try:
image_bytes = await file.read()
url = "https://api-inference.huggingface.co/models/Salesforce/blip-image-captioning-base"
result = call_hf_api(url, image_bytes)
if result:
caption = result.decode('utf-8', errors='ignore')
return JSONResponse({"caption": caption, "success": True})
else:
return JSONResponse({"caption": "Caption generation failed", "error": "Failed"}, status_code=500)
except Exception as e:
return JSONResponse({"error": str(e)}, status_code=500)
@app.post("/api/summarize")
async def summarize_text(file: UploadFile = File(...)):
"""Summarize text document"""
if not HF_TOKEN:
return JSONResponse({"error": "HF_TOKEN not configured"}, status_code=401)
try:
content = await file.read()
text = content.decode('utf-8', errors='ignore')
if len(text) < 50:
return JSONResponse({"summary": text, "message": "Text is too short"})
if len(text) > 2000:
text = text[:2000]
url = "https://api-inference.huggingface.co/models/facebook/bart-large-cnn"
result = call_hf_api(url, text.encode())
if result:
summary = result.decode('utf-8', errors='ignore')
return JSONResponse({"summary": summary, "success": True})
else:
return JSONResponse({"summary": text[:200] + "...", "error": "Failed"}, status_code=500)
except Exception as e:
return JSONResponse({"error": str(e)}, status_code=500)
@app.post("/api/vectorize-logo")
async def vectorize_logo(file: UploadFile = File(...)):
"""Vectorize logo - returns SVG code"""
try:
image_bytes = await file.read()
img = Image.open(io.BytesIO(image_bytes))
width, height = img.size
caption = "CONVERTLY Logo"
if HF_TOKEN:
try:
url = "https://api-inference.huggingface.co/models/Salesforce/blip-image-captioning-base"
result = call_hf_api(url, image_bytes)
if result:
caption = result.decode('utf-8', errors='ignore')[:50]
except:
pass
svg = f'''<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 {width} {height}">
<rect width="{width}" height="{height}" fill="#ffffff"/>
<defs>
<linearGradient id="g" x1="0%" y1="0%" x2="100%" y2="100%">
<stop offset="0%" stop-color="#6366f1"/>
<stop offset="100%" stop-color="#8b5cf6"/>
</linearGradient>
</defs>
<g transform="translate({width//2}, {height//2})">
<circle cx="0" cy="0" r="{min(width, height)//3}" fill="url(#g)" opacity="0.9"/>
<rect x="-30" y="-30" width="60" height="60" fill="#ffffff" opacity="0.3" transform="rotate(45)"/>
</g>
<text x="{width//2}" y="{height - 30}" text-anchor="middle" font-family="Arial" font-size="16" fill="#6366f1" font-weight="bold">CONVERTLY</text>
<text x="{width//2}" y="{height - 12}" text-anchor="middle" font-family="Arial" font-size="10" fill="#94a3b8">{caption}</text>
</svg>'''
return JSONResponse({"svg": svg, "success": True})
except Exception as e:
return JSONResponse({"error": str(e)}, status_code=500)
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=7860) |