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feat: refactor Wav2Vec2 character ASR to support quantization and improve model loading
c5ca6dc
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feat: implement Wav2Vec2 character-level ASR with ONNX and Transformers support, add phoneme comparison and feedback generation
cef1d4a -
fix: update import statement for BaseModel in agent.py and add timing logs in speaking_controller.py
1a5420f -
Add Wav2Vec2 model conversion and inference to ONNX format
- Implemented Wav2Vec2ONNXConverter class for converting Wav2Vec2 models to ONNX format, including model loading, conversion, and verification. - Added Wav2Vec2ONNXInference class for performing inference using the converted ONNX model. - Included methods for softmax calculation and transcription of audio files. - Added utility functions for creating compatible models and exporting with fallback options for different ONNX opset versions. - Introduced optimization function for ONNX models. - Created helper function to convert numpy types to native Python types for better compatibility.df380ff -
Implement code changes to enhance functionality and improve performance
c6480d4 -
Implement feature X to enhance user experience and fix bug Y in module Z
dd47219
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feat: add speaking route for pronunciation assessment API
64c08d9
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update: evaluation
6020910
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feat: set Teaching Agent as default and enhance interaction prompts
ce33d09 -
feat: evaluation when end
61e4b1e
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feat: text to speech for AI response
7f15e1c
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prompt: at handoff trigger for guiding agent roleplay
f8b4e8e -
prompt: hallucination at repsonse length
438e19d -
update prompt
cba740c -
prompt: add markdown and agent name
dcfb575 -
prompt: optimize
a546147 -
feat: audio v2 multi agent
20c3a0e
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remove conversation management
4909ef6 -
Add trim_history function and update lesson chat route to handle text and audio inputs
a4cb278 -
Refactor roleplay agent implementation and update session handling for improved message processing
c0827a3
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Enhance roleplay API to support audio messages and add comprehensive test cases
b7a3e32
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Add lesson management functionality with JSON data integration and response models
0f1954e -
Implement lesson practice agent and related functionality
c0a7f25
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update follow-up questions in scenarios for clarity and relevance
8bbe583
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update prompt new tối nay
25ff07d -
update prompt claude
e61cbae -
first commit
7197de5 -
deployment: update
b9b869f -
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