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Simplify code with constants

2024年7月8日
https://chatgpt.com/share/1b44ae40-ce49-4751-812c-c7d5d38a3383

Simplify code with constants

🧑 User

Fill in the args with constant strings so I can simplify the code

@wrap
def setup():
worker = ModelWorker(args.controller_address,
args.worker_address,
worker_id,
args.no_register,
args.model_path,
args.model_base,
args.model_name,
args.model_type,
args.load_8bit,
args.load_4bit,
args.device)

if name == “main“:
parser = argparse.ArgumentParser()
parser.add_argument(“–host”, type=str, default=”localhost”)
parser.add_argument(“–port”, type=int, default=21002)
parser.add_argument(“–worker-address”, type=str,
default=”http://localhost:21002“)
parser.add_argument(“–controller-address”, type=str,
default=”http://localhost:21001“)
parser.add_argument(“–model-path”, type=str, default=None)
parser.add_argument(“–model-base”, type=str, default=None)
parser.add_argument(“–model-name”, type=str)
parser.add_argument(“–model-type”, type=str, default=None)
parser.add_argument(“–device”, type=str, default=”cuda”)
parser.add_argument(“–multi-modal”, action=”store_true”,
help=”Multimodal mode is automatically detected with model name.”)
parser.add_argument(“–limit-model-concurrency”, type=int, default=5)
parser.add_argument(“–stream-interval”, type=int, default=1)
parser.add_argument(“–no-register”, action=”store_true”)
parser.add_argument(“–load-8bit”, action=”store_true”)
parser.add_argument(“–load-4bit”, action=”store_true”)
args = parser.parse_args()
logger.info(f”args: {args}”)

when run like this

python3 mine2.py –host 0.0.0.0 –port 40000 –controller http://localhost:10000 –worker http://localhost:40000 –model-path ../bunny-phi-2-siglip-lora/ –model-base ../phi-2/ –model-type phi-2

🤖 Assistant

To simplify the code by filling in the arguments with constant strings, you can directly assign the values from the command line arguments to the ModelWorker constructor within the setup function. Here’s how you could adjust your setup function and main block to incorporate the specific arguments you’ve provided:

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import argparse
import logging

# Assuming ModelWorker is defined elsewhere
# from your_model_worker_module import ModelWorker

logger = logging.getLogger(__name__)

@wrap
def setup():
    # Directly using the provided command line argument values
    worker = ModelWorker("http://localhost:10000",  # controller_address
                         "http://localhost:40000",  # worker_address
                         worker_id,                 # worker_id (needs to be defined)
                         True,                      # no_register
                         "../bunny-phi-2-siglip-lora/",  # model_path
                         "../phi-2/",               # model_base
                         args.model_name,           # model_name (passed via command line)
                         "phi-2",                   # model_type
                         False,                     # load_8bit (assuming default as False)
                         False,                     # load_4bit (assuming default as False)
                         "cuda")                    # device

if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    parser.add_argument("--model-name", type=str, required=True)
    args = parser.parse_args()
    logger.info(f"args: {args}")

    # Assuming worker_id needs to be defined or obtained in some way
    worker_id = "some_worker_id"  # This needs to be dynamically assigned or passed as an argument

    setup()  # Call the setup function

In this simplified version, I’ve made the following adjustments:

Removed unnecessary command line arguments that are now hardcoded.Directly assigned hardcoded values within the ModelWorker constructor call in the setup function.Kept args.model_name as a command line argument since you mentioned it without a default value, implying it’s required and variable.Assumed worker_id needs to be defined or obtained somehow, as it wasn’t included in your original command line arguments. You might need to adjust this part based on how you intend to assign or obtain the worker_id.Set True for no_register based on your command line setup and assumptions about default values for load_8bit and load_4bit as False, considering they are flags and you did not specify them in your command line example.Adjusted the logging setup to match the simplified context; ensure you configure logging appropriately elsewhere in your code.

Remember, this simplification assumes you’re okay with hardcoding these values and not passing them through the command line anymore, except for the model name which remains variable.

🧑 User

args[‘images’][0] is a base64 encoded image make it pil

🤖 Assistant

To convert a base64 encoded image string to a PIL (Python Imaging Library) image, you first need to decode the base64 string into bytes, and then you can use the BytesIO class from the io module to create a buffer from these bytes. Finally, you use the Image class from the PIL (or its modern fork, Pillow) to open the image from this buffer. Here’s how you can do it:

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import base64
from io import BytesIO
from PIL import Image

# Assuming args['images'][0] contains your base64 encoded image string
base64_image = args['images'][0]

# Decode the base64 string into bytes
image_bytes = base64.b64decode(base64_image)

# Create a BytesIO buffer from the decoded bytes
image_buffer = BytesIO(image_bytes)

# Use PIL to open the image from the buffer
image = Image.open(image_buffer)

# Now 'image' is a PIL Image object that you can manipulate or display
image.show()  # This will display the image if you have a GUI environment

Make sure you have Pillow installed in your environment, as PIL is outdated and no longer maintained. You can install Pillow using pip if you haven’t already:

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pip install Pillow

This code assumes that the base64 encoded string does not include the data URL scheme (e.g., data:image/png;base64,) that is often used in HTML and CSS. If your base64 string includes this scheme, you’ll need to strip it before decoding, like so:

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base64_image = args['images'][0].split(",")[-1]

This ensures you only attempt to decode the actual base64 data, not the entire data URL.

🧑 User

No do the inverse given image give me base64 function

🤖 Assistant

To convert a PIL (Python Imaging Library) image to a base64 encoded string, you’ll need to first save the image to a bytes buffer using the BytesIO class from the io module, and then encode this buffer using base64. Here’s a function that accomplishes this:

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import base64
from io import BytesIO
from PIL import Image

def image_to_base64(pil_image, format="PNG"):
    """
    Converts a PIL Image to a base64 encoded string.

    Parameters:
    - pil_image: A PIL Image object.
    - format: The format to save the image in (e.g., "PNG", "JPEG"). Defaults to "PNG".

    Returns:
    - A base64 encoded string of the image.
    """
    # Create a BytesIO buffer to save the image to
    buffered = BytesIO()
    
    # Save the image to the buffer
    pil_image.save(buffered, format=format)
    
    # Get the byte data from the buffer
    img_byte = buffered.getvalue()
    
    # Encode the bytes to base64
    img_base64 = base64.b64encode(img_byte)
    
    # Convert bytes to string for easier use
    img_base64_str = img_base64.decode('utf-8')
    
    return img_base64_str

# Assuming you have a PIL Image object named 'image'
# image = Image.open('path_to_your_image.jpg') # Example of how to get a PIL Image

# Convert the image to a base64 string
# base64_string = image_to_base64(image)
# print(base64_string)

This function:

Takes a PIL Image object as input.Saves the image to a BytesIO buffer in the specified format (defaults to PNG).Encodes the content of this buffer to base64.Decodes the base64 bytes to a UTF-8 string for easier handling and returns it.

You can adjust the format parameter based on the format of your image or your requirements. The resulting base64 string can be used in various contexts, such as embedding images directly into HTML/CSS or for transmitting images over APIs where binary data is not supported.