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MaulikMadhavi
commited on
Commit
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8c5651e
1
Parent(s):
3e42073
test
Browse files
app.py
CHANGED
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import gradio as gr
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import cv2
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from PIL import Image
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from pillow_heif import register_heif_opener
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import numpy as np
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import imghdr
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def process_image(input_image, width = None, height = None):
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def display_image_info(input_image):
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with gr.Blocks("Image-Processing") as demo:
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demo.launch()
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import gradio as gr
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# import cv2
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# from PIL import Image
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# from pillow_heif import register_heif_opener
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# import numpy as np
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# import imghdr
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# def process_image(input_image, width = None, height = None):
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# # Process the image here
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# # For example, you can apply some image filters or transformations
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# if input_image:
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# # Convert the PIL image to OpenCV format
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# image = Image.open(input_image)
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# image = np.array(image)
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# if width is None:
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# width = image.shape[1]
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# if height is None:
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# height = image.shape[0]
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# # Apply some image processing
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# print(f"Width: {width}, Height: {height}")
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# image = cv2.resize(image, (height, width))
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# print(f"Image shape: {image.shape}")
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# return image
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# else:
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# return None
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# def display_image_info(input_image):
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# if not input_image:
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# return "No image uploaded"
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# try:
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# format = imghdr.what(input_image)
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# return f"The format of the image is '{format}'"
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# except:
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# return f"The image format is unknown. However the file extension is '{input_image.split('.')[-1]}'"
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# with gr.Blocks("Image-Processing") as demo:
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# with gr.Row():
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# with gr.Column():
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# input_image = gr.Image("input_image", type="filepath")
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# with gr.Column():
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# output_image = gr.Image("output_image", type="filepath")
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# # ========= For width and height ==========
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# with gr.Row():
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# width = gr.Slider(1, 1000, value=256, label="Width")
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# height = gr.Slider(1, 1000, value=192, label="Height")
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# with gr.Row():
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# output_textbox = gr.Textbox("output_textbox", type="text", label="Output Textbox")
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# input_image.change(process_image, [input_image, width, height], output_image)
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# input_image.change(display_image_info, input_image, output_textbox)
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# width.change(process_image, [input_image, width, height], output_image)
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# height.change(process_image, [input_image, width, height], output_image)
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# demo.launch()
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import gradio as gr
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def greet(name):
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return "Hello " + name + "!!"
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iface = gr.Interface(fn=greet, inputs="text", outputs="text")
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iface.launch()
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