Added LLM Translator and Integration with Microservice #75
Conversation
✅ Artillery Performance Test Results - PASSED
Load Test Summary
Response Times
Threshold Analysis (Advisory)
✅ Performance metrics look great! HTTP Response Codes
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✅ Artillery Performance Test Results - PASSED
Load Test Summary
Response Times
Threshold Analysis (Advisory)
✅ Performance metrics look great! HTTP Response Codes
|
Pull Request Test Coverage Report for Build 19309111224Details
💛 - Coveralls |
…changes work (I think), with Ollama installed via CLI in the hosted ssh (team17@17313-team17)
✅ Artillery Performance Test Results - PASSED
Load Test Summary
Response Times
Threshold Analysis (Advisory)
✅ Performance metrics look great! HTTP Response Codes
|
✅ Artillery Performance Test Results - PASSED
Load Test Summary
Response Times
Threshold Analysis (Advisory)
✅ Performance metrics look great! HTTP Response Codes
|
✅ Artillery Performance Test Results - PASSED
Load Test Summary
Response Times
Threshold Analysis (Advisory)
✅ Performance metrics look great! HTTP Response Codes
|
✅ Artillery Performance Test Results - PASSED
Load Test Summary
Response Times
Threshold Analysis (Advisory)
✅ Performance metrics look great! HTTP Response Codes
|
✅ Artillery Performance Test Results - PASSED
Load Test Summary
Response Times
Threshold Analysis (Advisory)
✅ Performance metrics look great! HTTP Response Codes
|
✅ Artillery Performance Test Results - PASSED
Load Test Summary
Response Times
Threshold Analysis (Advisory)
✅ Performance metrics look great! HTTP Response Codes
|
heesunp
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heesunp
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Hello, I tested the button locally and it seems to work properly! However, it should be noted that the translation process takes a while to run.
rebeccals05
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rebeccals05
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This looks great! I tested it locally, and it runs well. The only thing I would consider changing is to try and get the LLM to respond to English text properly. Ignoring the longer wait times, the translation from non-English works well!
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Not working in deployment |
Context
Carnegie Mellon University has a large population of international students and students whose first language is not English. Currently, NodeBB does not support non-English posts and assumes all users’ posts are in English. Non-English users cannot fully participate in the Q&A forum because their posts may not be understood by the majority English-speaking community; specifically, faculty cannot assist students who ask questions in their native languages due to this communication barrier. Users are left to manually translate content, which is a hassle for users and discourages engagement and connection. To promote inclusivity and community, the platform needs a fast, reliable, accurate translation system.
Changes in the Code
UI Integration: Referenced a lot of file changes from class:
CMU-313/NodeBB#460
Testing
Verified translation requests locally using the LLM translator microservice to ensure the button appeared.
Tested with both English and non-English sample posts, with the hard-coded responses and not.
Issues
Minor issue with English posts:
Timing:
Wait times on posts range from about 7 seconds to 20 seconds, based on individual local testing.