Docker Setup

I have setup the docker container to run the model evaluation.

Initial Query

Write function resize_image in python that open get a folder path as in put and looks for all of the images files in that folder using only pillow and resize them to 32x32 and overwrite it. Just give me the python code that I can run by python code.py and the default folder is /tmp

LLM Generation

Query

Write function resize_image in python that open get a folder path as in put and looks for all of the images files in that folder using only pillow and resize them to 32x32 and overwrite it. Just give me the python code that I can run by python code.py and the default folder is /tmp

Output

Here's a Python script that uses the `Pillow` library to resize all image files in a specified folder (default is `/tmp`) to 32x32 pixels and overwrites the original files: 

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from PIL import Image
import os

def resize_image(folder_path='/tmp'):
    # Supported image file extensions
    image_extensions = ['.jpg', '.jpeg', '.png', '.bmp', '.gif', '.tiff']

    # Iterate over all files in the folder
    for filename in os.listdir(folder_path):
        # Check if the file is an image
        if any(filename.lower().endswith(ext) for ext in image_extensions):
            file_path = os.path.join(folder_path, filename)
            try:
                # Open the image
                with Image.open(file_path) as img:
                    # Resize the image to 32x32
                    resized_img = img.resize((32, 32))
                    # Overwrite the original image
                    resized_img.save(file_path)
                    print(f"Resized and overwritten: {file_path}")
            except Exception as e:
                print(f"Failed to process {file_path}: {e}")

if __name__ == "__main__":
    resize_image()
### How to Run: 1. Save the code to a file, e.g., `code.py`. 2. Install the `Pillow` library if you don't have it: 
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   pip install pillow
3. Run the script: 
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   python code.py
### What It Does: - The script looks for image files in the `/tmp` folder (or any folder you specify). - It resizes each image to 32x32 pixels. - It overwrites the original image file with the resized version. ### Notes: - Ensure you have backups of your images before running the script, as it overwrites the original files. - The script handles common image formats like `.jpg`, `.jpeg`, `.png`, etc. You can add more extensions if needed.

Extract Code

I extracted the following code from that output: 

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from PIL import Image
import os

def resize_image(folder_path='/tmp'):
    # Supported image file extensions
    image_extensions = ['.jpg', '.jpeg', '.png', '.bmp', '.gif', '.tiff']

    # Iterate over all files in the folder
    for filename in os.listdir(folder_path):
        # Check if the file is an image
        if any(filename.lower().endswith(ext) for ext in image_extensions):
            file_path = os.path.join(folder_path, filename)
            try:
                # Open the image
                with Image.open(file_path) as img:
                    # Resize the image to 32x32
                    resized_img = img.resize((32, 32))
                    # Overwrite the original image
                    resized_img.save(file_path)
                    print(f"Resized and overwritten: {file_path}")
            except Exception as e:
                print(f"Failed to process {file_path}: {e}")

if __name__ == "__main__":
    resize_image()

Run Code Interpreter

Running the following program: 

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from PIL import Image
import os

def resize_image(folder_path='/tmp'):
    # Supported image file extensions
    image_extensions = ['.jpg', '.jpeg', '.png', '.bmp', '.gif', '.tiff']

    # Iterate over all files in the folder
    for filename in os.listdir(folder_path):
        # Check if the file is an image
        if any(filename.lower().endswith(ext) for ext in image_extensions):
            file_path = os.path.join(folder_path, filename)
            try:
                # Open the image
                with Image.open(file_path) as img:
                    # Resize the image to 32x32
                    resized_img = img.resize((32, 32))
                    # Overwrite the original image
                    resized_img.save(file_path)
                    print(f"Resized and overwritten: {file_path}")
            except Exception as e:
                print(f"Failed to process {file_path}: {e}")

if __name__ == "__main__":
    resize_image()
And got the output: Resized and overwritten: /tmp/random_image_1.jpg Resized and overwritten: /tmp/random_image_5.jpeg Resized and overwritten: /tmp/random_image_7.jpg Resized and overwritten: /tmp/random_image_4.jpeg Resized and overwritten: /tmp/random_image_9.jpeg Resized and overwritten: /tmp/random_image_2.jpeg Resized and overwritten: /tmp/random_image_3.jpg Resized and overwritten: /tmp/random_image_8.jpeg Resized and overwritten: /tmp/random_image_10.jpeg Resized and overwritten: /tmp/random_image_6.jpeg

PyFunc

final: True Resulting in output: True