Spaces:
Runtime error
Runtime error
Create app.py
Browse files
app.py
ADDED
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import gradio as gr
|
2 |
+
from PIL import Image
|
3 |
+
import os
|
4 |
+
import numpy as np
|
5 |
+
import cv2
|
6 |
+
import time
|
7 |
+
# Directory to store the PDF files
|
8 |
+
output_directory = "base"
|
9 |
+
os.makedirs(output_directory, exist_ok=True)
|
10 |
+
|
11 |
+
# Initialize an empty list to store the uploaded images as NumPy arrays
|
12 |
+
images_list = []
|
13 |
+
|
14 |
+
# Function to add an uploaded image (NumPy array) to the list
|
15 |
+
def add_image(image):
|
16 |
+
print(image) # Display the image array
|
17 |
+
global images_list
|
18 |
+
images_list.append(image)
|
19 |
+
return f"Image added! Current number of images: {len(images_list)}"
|
20 |
+
|
21 |
+
# Function to convert NumPy array to PIL Image
|
22 |
+
def numpy_to_pil(np_img):
|
23 |
+
if np_img.ndim == 2: # Grayscale
|
24 |
+
return Image.fromarray(np_img)
|
25 |
+
elif np_img.shape[2] == 3: # RGB
|
26 |
+
return Image.fromarray(cv2.cvtColor(np_img, cv2.COLOR_BGR2RGB))
|
27 |
+
elif np_img.shape[2] == 4: # RGBA
|
28 |
+
return Image.fromarray(cv2.cvtColor(np_img, cv2.COLOR_BGRA2RGBA))
|
29 |
+
else:
|
30 |
+
raise ValueError("Unsupported image format")
|
31 |
+
|
32 |
+
# Function to merge images into a PDF and save it
|
33 |
+
def merge_images_to_pdf():
|
34 |
+
if not images_list:
|
35 |
+
return "No images to merge!"
|
36 |
+
|
37 |
+
# Convert NumPy arrays to PIL Images
|
38 |
+
image_objs = [numpy_to_pil(img) for img in images_list]
|
39 |
+
|
40 |
+
# Save the images as a PDF
|
41 |
+
pdf_output_path = os.path.join(output_directory, str(time.ctime())+'.pdf')
|
42 |
+
image_objs[0].save(pdf_output_path, save_all=True, append_images=image_objs[1:])
|
43 |
+
|
44 |
+
# Clear the images list after saving the PDF
|
45 |
+
images_list.clear()
|
46 |
+
|
47 |
+
return f"PDF saved successfully at {pdf_output_path}!"
|
48 |
+
|
49 |
+
# Create the Gradio interface
|
50 |
+
with gr.Blocks() as demo:
|
51 |
+
gr.Markdown("### Image to PDF Converter")
|
52 |
+
|
53 |
+
# Image upload component (uses webcam or upload)
|
54 |
+
image_input = gr.Image(source="webcam", streaming=True, type="numpy")
|
55 |
+
|
56 |
+
# Button to add the image to the list
|
57 |
+
add_button = gr.Button("Add Image")
|
58 |
+
|
59 |
+
# Button to merge the images into a PDF
|
60 |
+
merge_button = gr.Button("Merge Images to PDF")
|
61 |
+
|
62 |
+
# Output text to display status
|
63 |
+
output_text = gr.Textbox(label="Status")
|
64 |
+
|
65 |
+
# Event handling
|
66 |
+
add_button.click(add_image, inputs=image_input, outputs=output_text)
|
67 |
+
merge_button.click(merge_images_to_pdf, outputs=output_text)
|
68 |
+
|
69 |
+
# Launch the Gradio app
|
70 |
+
demo.launch()
|