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Go Client User-Friendly Interface for Data Input: The Go client acts as a frontend that allows users (like chemists, researchers, or pharmacologists) to input multiple SMILES strings. This makes the system accessible to users who may not be familiar with the underlying computational complexity. Efficient Communication with Server: The client handles the communication with the Flask server, sending SMILES strings and receiving predictions and image paths. This setup decouples the user interface from the backend processing, allowing for independent scaling and updating of each component. Batch Processing Capability: By allowing the input of multiple SMILES strings, the Go client facilitates batch processing. This is beneficial in scenarios like drug discovery pipelines where numerous compounds need to be analyzed simultaneously. Displaying Predictions and Managing Visualizations: The Go client displays the lipophilicity predictions for each molecule and provides paths to their visual representations. This information is crucial for decision-making processes in chemical analysis and pharmaceutical research.
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Requested changes seem to be already merged with another PR |
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Go Client
User-Friendly Interface for Data Input: The Go client acts as a frontend that allows users (like chemists, researchers, or pharmacologists) to input multiple SMILES strings. This makes the system accessible to users who may not be familiar with the underlying computational complexity.
Efficient Communication with Server: The client handles the communication with the Flask server, sending SMILES strings and receiving predictions and image paths. This setup decouples the user interface from the backend processing, allowing for independent scaling and updating of each component.
Batch Processing Capability: By allowing the input of multiple SMILES strings, the Go client facilitates batch processing. This is beneficial in scenarios like drug discovery pipelines where numerous compounds need to be analyzed simultaneously.
Displaying Predictions and Managing Visualizations: The Go client displays the lipophilicity predictions for each molecule and provides paths to their visual representations. This information is crucial for decision-making processes in chemical analysis and pharmaceutical research.