Update app.py

app.py

@@ -1,6 +1,3 @@
-import nest_asyncio
-nest_asyncio.apply()
-
 import os
 import gradio as gr
 import logging
@@ -9,8 +6,6 @@ from PIL import Image, ImageDraw
 import cv2
 import numpy as np
 from math import atan2, degrees
-import asyncio
-from pyppeteer import launch
 
 # Configure logging
 logging.basicConfig(
@@ -27,62 +22,6 @@ ROBOFLOW_API_KEY = "KUP9w62eUcD5PrrRMJsV"
 PROJECT_NAME = "model_verification_project"
 VERSION_NUMBER = 2
 
-async def _generate_handwriting_image(text_prompt, screenshot_path):
-    try:
-        browser = await launch(
-            headless=True,
-            executablePath="/usr/bin/chromium-browser",  # Path to Chromium
-            args=[
-                '--no-sandbox',
-                '--disable-setuid-sandbox',
-                '--disable-dev-shm-usage',
-                '--disable-gpu',
-                '--single-process',
-                '--no-zygote',
-                '--window-size=1920,1080'
-            ]
-        )
-        page = await browser.newPage()
-        
-        # Navigate to Calligraphr
-        await page.goto('https://www.calligraphr.com/en/font/', {
-            'waitUntil': 'networkidle2',
-            'timeout': 60000
-        })
-        
-        # Wait for the text input field
-        await page.waitForSelector('#text-input', {'timeout': 30000})
-        
-        # Type the text prompt
-        await page.type('#text-input', text_prompt)
-        
-        # Wait for rendering
-        await asyncio.sleep(5)
-        
-        # Take a screenshot
-        await page.screenshot({
-            'path': screenshot_path,
-            'clip': {'x': 100, 'y': 200, 'width': 600, 'height': 150}
-        })
-        return screenshot_path
-
-    except Exception as e:
-        logging.error(f"Pyppeteer error: {str(e)}")
-        return None
-
-    finally:
-        if 'browser' in locals():
-            await browser.close()
-
-def generate_handwriting_image(text_prompt, screenshot_path="/tmp/handwriting.png"):
-    try:
-        loop = asyncio.get_event_loop()
-        result = loop.run_until_complete(_generate_handwriting_image(text_prompt, screenshot_path))
-        return result
-    except Exception as e:
-        logging.error(f"Error generating handwriting image: {e}")
-        return None
-
 def detect_paper_angle(image, bounding_box):
     x1, y1, x2, y2 = bounding_box
     roi = np.array(image)[y1:y2, x1:x2]
@@ -148,11 +87,8 @@ def process_image(image, text):
             debug_layer.save("/tmp/debug_bounding_box.png")
             logging.debug("Saved bounding box debug image to /tmp/debug_bounding_box.png.")
 
-            handwriting_path = generate_handwriting_image(text, "/tmp/handwriting.png")
-            if not handwriting_path:
-                logging.error("Handwriting image generation failed.")
-                continue
-
+            # Load pre-generated handwriting image
+            handwriting_path = "/path/to/pre-generated/handwriting.png"
             handwriting_img = Image.open(handwriting_path).convert("RGBA")
             handwriting_img = handwriting_img.resize((box_width, box_height), Image.ANTIALIAS)
             rotated_handwriting = handwriting_img.rotate(-angle, resample=Image.BICUBIC, expand=True)
@@ -194,7 +130,7 @@ interface = gr.Interface(
         gr.Textbox(label="Status")
     ],
     title="Roboflow Detection with Handwriting Overlay",
-    description="Upload an image and enter text to overlay. The Roboflow model detects the white paper area, and a handwriting image is generated via Calligraphr using Pyppeteer. The output image is composited accordingly.",
+    description="Upload an image and enter text to overlay. The Roboflow model detects the white paper area, and a handwriting image is composited accordingly.",
     allow_flagging="never"
 )
 
@@ -202,6 +138,5 @@ if __name__ == "__main__":
     interface.launch(
         server_name="0.0.0.0",
         server_port=int(os.environ.get("PORT", 7860)),
-        # Remove enable_queue if your Gradio version doesn't support it
         enable_queue=True
-    )
+    )