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Update app.py #9
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Reviewer's Guide by SourceryThe pull request updates the app.py file by removing the try-except block in the prepare_and_train function, adding imports for os and sys modules, and removing the newline at the end of the file. Sequence diagram for the simplified prepare_and_train processsequenceDiagram
participant Client
participant prepare_and_train
participant load_data
participant preprocess_data
participant save_processed_data
participant fine_tune
Client->>prepare_and_train: model_name, dataset_path, epochs, batch_size, learning_rate
prepare_and_train->>load_data: dataset_path
load_data-->>prepare_and_train: data
prepare_and_train->>preprocess_data: data
preprocess_data-->>prepare_and_train: cleaned_data
prepare_and_train->>save_processed_data: cleaned_data, processed_data_path
prepare_and_train->>fine_tune: model_name, processed_data_path, epochs, batch_size, learning_rate
fine_tune-->>prepare_and_train: result
prepare_and_train-->>Client: result
Flow diagram for the updated prepare_and_train functionflowchart TD
A[Start] --> B[Load Data]
B --> C[Preprocess Data]
C --> D[Save Processed Data]
D --> E[Fine-tune Model]
E --> F[Return Result]
style A fill:#f9f,stroke:#333,stroke-width:2px
style F fill:#f9f,stroke:#333,stroke-width:2px
File-Level Changes
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Hey @canstralian - I've reviewed your changes - here's some feedback:
Overall Comments:
- Consider restoring error handling with specific exception types rather than removing it entirely. ML pipelines can fail in various ways and proper error handling is important for robustness.
- The os and sys modules are imported but not used in the code. Consider removing unused imports to maintain code cleanliness.
Here's what I looked at during the review
- 🟡 General issues: 1 issue found
- 🟢 Security: all looks good
- 🟢 Testing: all looks good
- 🟢 Complexity: all looks good
- 🟢 Documentation: all looks good
Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.
@@ -1,20 +1,18 @@ | |||
import os | |||
import sys | |||
import gradio as gr | |||
from model.model import fine_tune | |||
from data.preprocess import load_data, preprocess_data, save_processed_data | |||
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def prepare_and_train(model_name, dataset_path, epochs, batch_size, learning_rate): |
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cp f
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Summary by Sourcery
Enhancements: