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[docs] Add link to example in index.md #304

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@lakshyaag lakshyaag commented Dec 25, 2023

From #293, I forgot to update the examples/index.md to include the link.

Summary by CodeRabbit

  • Chores

    • Updated .gitignore to exclude system-specific files and improve organization.
  • Documentation

    • Added a new guide on generating advertising copy from images using GPT-4 Vision API and Chat API.
    • Included a new section in the documentation index for image-based advertising copy generation.
  • New Features

    • Implemented a script to detect products in images and automatically generate advertising copy, with output in JSON format.

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coderabbitai bot commented Dec 25, 2023

Walkthrough

The recent update enhances the project by ignoring system-specific files in version control and expanding the documentation and functionality to include the generation of advertising copy from images. This is achieved through the integration of AI models capable of identifying products in images and creating relevant ad content.

Changes

File Path Change Summary
.gitignore Added .DS_Store to ignore list, plus a comment section
docs/examples/.../image_to_ad_copy.md New guide for generating ad copy using GPT-4 Vision API
docs/examples/index.md Added new documentation topic on image-based ad generation
examples/vision/image_to_ad_copy.py Introduced product identification and ad copy generation

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We've taught the machines to crop,
A picture spawns words, so vivid, so snappy,
Crafting ad copy, makes everyone happy!
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@lakshyaag lakshyaag closed this Dec 25, 2023
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jxnl commented Dec 25, 2023

Looks like a tonne of changes. Mind pulling from main befo

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Review Status

Actionable comments generated: 3

Configuration used: CodeRabbit UI

Commits Files that changed from the base of the PR and between e53f605 and 090ce72.
Files ignored due to filter (1)
  • mkdocs.yml
Files selected for processing (4)
  • .gitignore (2 hunks)
  • docs/examples/image_to_ad_copy.md (1 hunks)
  • docs/examples/index.md (1 hunks)
  • examples/vision/image_to_ad_copy.py (1 hunks)
Files skipped from review due to trivial changes (2)
  • .gitignore
  • docs/examples/index.md
Additional comments: 13
examples/vision/image_to_ad_copy.py (8)
  • 1-11: The imports and setup of the environment variables are standard and appropriate for the script's requirements.

  • 22-53: The Product class is well-defined with appropriate type annotations and Pydantic fields. The generate_prompt method is a good use of the model's data for creating a prompt for the AI.

  • 56-77: The IdentifiedProduct class includes an error flag and message, which is a good practice for error handling. Ensure that the error handling is consistent and that any calling code properly checks and handles these errors.

  • 101-107: The client_image and client_copy are patched with the instructor library. Verify that the instructor library is designed to handle the patching of clients in this manner and that it is thread-safe if the script is intended to be used in a multi-threaded environment.

  • 110-138: The read_images function uses the gpt-4-vision-preview model to identify products in images. Ensure that the max_tokens and temperature parameters are set appropriately for the use case and that the AI's interpretation aligns with the expected output.

  • 141-159: The generate_ad_copy function uses the gpt-4-1106-preview model to generate ad copy. The temperature is set to 0.3, which allows for some creativity. Verify that this temperature setting yields the desired balance between creativity and relevance for the ad copy.

  • 162-182: The run function orchestrates the process of reading images and generating ad copy. It includes error handling and uses the rich library for formatted printing. Ensure that the error messages are clear and actionable for the end-user.

  • 185-222: The main execution block of the script handles command-line arguments and reads an input file containing image URLs. It then calls the run function and writes the results to a JSON file. Ensure that the script correctly handles cases where the input file is not found or is in an unexpected format.

docs/examples/image_to_ad_copy.md (5)
  • 1-5: The introduction provides a clear overview of the purpose of the document and includes a link to the full code on GitHub.

  • 7-45: The explanation of the Product model is clear and includes a code snippet that matches the Python script. The note about adding validators is helpful for users who may want to extend the model's functionality.

  • 48-72: The IdentifiedProduct class is described with an example and an explanation of the error handling mechanism. This is consistent with the Python script and provides good documentation for the user.

  • 95-129: The API usage section clearly explains how to call the API to detect products and generate advertising copy. The code snippets are consistent with the Python script and provide a good level of detail for the user to understand the process.

  • 162-232: The final section puts everything together and provides an example input file and the expected output. This is a helpful addition for users to understand the end-to-end process and the format of the results.

Comment on lines +16 to +19
# Add logger
logging.basicConfig()
logger = logging.getLogger("app")
logger.setLevel("INFO")
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The logger is set up with a hardcoded level of "INFO". Consider making the log level configurable through an environment variable or command-line argument to increase flexibility in different environments.

- logger.setLevel("INFO")
+ logger.setLevel(os.getenv("LOG_LEVEL", "INFO"))

Committable suggestion

IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation.

Suggested change
# Add logger
logging.basicConfig()
logger = logging.getLogger("app")
logger.setLevel("INFO")
# Add logger
logging.basicConfig()
logger = logging.getLogger("app")
logger.setLevel(os.getenv("LOG_LEVEL", "INFO"))

Comment on lines +80 to +99
class AdCopy(BaseModel):
"""
Represents a generated ad copy.
"""

headline: str = Field(
description="A short, catchy, and memorable headline for the given product. The headline should invoke curiosity and interest in the product.",
example="Wireless Headphones",
)
ad_copy: str = Field(
description="A long-form advertisement copy for the given product. This will be used in campaigns to promote the product with a persuasive message and a call-to-action with the objective of driving sales.",
example="""
"Experience the ultimate sound quality with our wireless headphones, featuring high-definition audio, noise-cancellation, and a comfortable, ergonomic design for all-day listening."
""",
)
name: str = Field(
description="The name of the product being advertised.",
example="Headphones",
)

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The AdCopy class is defined correctly. However, the name field seems redundant as it is also present in the Product class. If the name is meant to be the same, consider removing it from AdCopy to avoid duplication and potential inconsistencies.

class AdCopy(BaseModel):
    ...
-   name: str = Field(
-       description="The name of the product being advertised.",
-       example="Headphones",
-   )

Committable suggestion

IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation.

Suggested change
class AdCopy(BaseModel):
"""
Represents a generated ad copy.
"""
headline: str = Field(
description="A short, catchy, and memorable headline for the given product. The headline should invoke curiosity and interest in the product.",
example="Wireless Headphones",
)
ad_copy: str = Field(
description="A long-form advertisement copy for the given product. This will be used in campaigns to promote the product with a persuasive message and a call-to-action with the objective of driving sales.",
example="""
"Experience the ultimate sound quality with our wireless headphones, featuring high-definition audio, noise-cancellation, and a comfortable, ergonomic design for all-day listening."
""",
)
name: str = Field(
description="The name of the product being advertised.",
example="Headphones",
)
class AdCopy(BaseModel):
"""
Represents a generated ad copy.
"""
headline: str = Field(
description="A short, catchy, and memorable headline for the given product. The headline should invoke curiosity and interest in the product.",
example="Wireless Headphones",
)
ad_copy: str = Field(
description="A long-form advertisement copy for the given product. This will be used in campaigns to promote the product with a persuasive message and a call-to-action with the objective of driving sales.",
example="""
"Experience the ultimate sound quality with our wireless headphones, featuring high-definition audio, noise-cancellation, and a comfortable, ergonomic design for all-day listening."
""",
)

Comment on lines +74 to +93
### Advertising Copy

Finally, the `AdCopy` models stores the output in a structured format with a headline and the text.

```python
class AdCopy(BaseModel):
"""
Represents a generated ad copy.
"""

headline: str = Field(
description="A short, catchy, and memorable headline for the given product. The headline should invoke curiosity and interest in the product.",
)
ad_copy: str = Field(
description="A long-form advertisement copy for the given product. This will be used in campaigns to promote the product with a persuasive message and a call-to-action with the objective of driving sales.",
)
name: str = Field(
description="The name of the product being advertised."
)
```
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The AdCopy model is documented with a description and a code snippet. The fields are explained, but the redundancy of the name field with the Product class should be addressed in the documentation as well.

class AdCopy(BaseModel):
    ...
-   name: str = Field(
-       description="The name of the product being advertised."
-   )

Committable suggestion

IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation.

Suggested change
### Advertising Copy
Finally, the `AdCopy` models stores the output in a structured format with a headline and the text.
```python
class AdCopy(BaseModel):
"""
Represents a generated ad copy.
"""
headline: str = Field(
description="A short, catchy, and memorable headline for the given product. The headline should invoke curiosity and interest in the product.",
)
ad_copy: str = Field(
description="A long-form advertisement copy for the given product. This will be used in campaigns to promote the product with a persuasive message and a call-to-action with the objective of driving sales.",
)
name: str = Field(
description="The name of the product being advertised."
)
```
class AdCopy(BaseModel):
"""
Represents a generated ad copy.
"""
headline: str = Field(
description="A short, catchy, and memorable headline for the given product. The headline should invoke curiosity and interest in the product.",
)
ad_copy: str = Field(
description="A long-form advertisement copy for the given product. This will be used in campaigns to promote the product with a persuasive message and a call-to-action with the objective of driving sales.",
)

@lakshyaag
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Looks like a tonne of changes. Mind pulling from main befo

Yeah apologies for opening this. #305 should be correct now

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2 participants