Update app.py

app.py

@@ -6,13 +6,6 @@ from docx import Document
 from rembg import remove
 import gradio as gr
 
-def convert_image_to_jpeg(input_path):
-    image = Image.open(input_path)
-    image = image.convert('RGB')
-    output_path = os.path.splitext(input_path)[0] + ".jpg"
-    image.save(output_path, 'JPEG')
-    return output_path
-
 def trim_whitespace(image):
     gray_image = ImageOps.grayscale(image)
     inverted_image = ImageChops.invert(gray_image)
@@ -22,60 +15,55 @@ def trim_whitespace(image):
 
 def convert_pdf_to_images(pdf_path, zoom=2):
     pdf_document = fitz.open(pdf_path)
-    name_with_extension = os.path.basename(pdf_path)
-    name = os.path.splitext(name_with_extension)[0]
-    
-    output_paths = []
+    images = []
     for page_num in range(len(pdf_document)):
         page = pdf_document.load_page(page_num)
         matrix = fitz.Matrix(zoom, zoom)
         pix = page.get_pixmap(matrix=matrix)
         image = Image.frombytes("RGB", [pix.width, pix.height], pix.samples)
         trimmed_image = trim_whitespace(image)
-        output_path = f"{name}_page_{page_num + 1}.jpg"
-        trimmed_image.save(output_path, 'JPEG')
-        output_paths.append(output_path)
-    return output_paths
+        images.append(trimmed_image)
+    return images
 
-def convert_docx_to_jpeg(docx_path):
+def convert_docx_to_images(docx_path):
     document = Document(docx_path)
-    output_paths = []
-    for i, image_shape in enumerate(document.inline_shapes, start=1):
+    images = []
+    for image_shape in document.inline_shapes:
         image_stream = image_shape.image.blob
         image = Image.open(io.BytesIO(image_stream))
-        output_path = f"{os.path.splitext(os.path.basename(docx_path))[0]}_page_{i}.jpg"
-        image.save(output_path, 'JPEG')
-        output_paths.append(output_path)
-    return output_paths
+        images.append(image)
+    return images
+
+def remove_background_from_image(image):
+    return remove(image)
+
+
+
+    
 
 def process_file(input_file):
     file_extension = os.path.splitext(input_file.name)[1].lower()
 
     if file_extension in ['.png', '.jpeg', '.jpg', '.bmp', '.gif']:
-        output_path = convert_image_to_jpeg(input_file.name)
-        return remove_background(output_path)
+        image = Image.open(input_file)
+        image = image.convert('RGB')
+        output_image = remove_background_from_image(image)
+        return output_image
     elif file_extension == '.pdf':
-        image_paths = convert_pdf_to_images(input_file.name)
-        return [remove_background(path) for path in image_paths]
+        images = convert_pdf_to_images(input_file.name)
+        return [remove_background_from_image(image) for image in images]
     elif file_extension in ['.docx', '.doc']:
-        image_paths = convert_docx_to_jpeg(input_file.name)
-        return [remove_background(path) for path in image_paths]
+        images = convert_docx_to_images(input_file.name)
+        return [remove_background_from_image(image) for image in images]
     else:
         return "File format not supported."
 
-def remove_background(image_path):
-    input_image = Image.open(image_path)
-    output_image = remove(input_image)
-    output_path = image_path.replace('.jpg', '_no_bg.png')
-    output_image.save(output_path, 'PNG')
-    return output_path
-
 def gradio_interface(input_file):
     return process_file(input_file)
 
 iface = gr.Interface(
     fn=gradio_interface,
-    inputs=gr.inputs.File(label="Upload Word, PDF, or Image"),
+    inputs=gr.File(label="Upload Word, PDF, or Image"),
     outputs=gr.outputs.Image(type="file", label="Processed Image(s)"),
     title="Document to Image Converter with Background Removal"
 )