Update README.md

README.md

@@ -1,15 +1,16 @@
 ---
 language:
 - en
+license: apache-2.0
 ---
 # Conversation flow text classification
 
-This a ONNX quantized model and is fined-tuned version of [nreimers/MiniLMv2-L6-H384-distilled-from-RoBERTa-Large](https://huggingface.co/nreimers/MiniLMv2-L6-H384-distilled-from-RoBERTa-Large).
+This a ONNX quantized model and is fined-tuned version of [MiniLMv2-L6-H384](https://huggingface.co/nreimers/MiniLMv2-L6-H384-distilled-from-RoBERTa-Large).
 The original model can be found [here](https://huggingface.co/minuva/MiniLMv2-agentflow-v2)
 
-This model identifies common events and patterns within the conversation flow. Such events include an apology, where the agent acknowledges a mistake, and a complaint, when a user expresses dissatisfaction.
+This model identifies common LLM agent events and patterns within the conversation flow. Such events include an apology, where the LLM acknowledges a mistake.
 
-This model should be used *only* for agent dialogs.
+This model is *only* for the LLM agent texts in the dialog. For the user texts [use this model](https://huggingface.co/minuva/MiniLMv2-userflow-v2-onnx/).
 
 
 # Optimum
@@ -166,4 +167,4 @@ res
 
 # Deployment
 
-Check [our repository](https://github.com/minuva/flow-cloudrun) to see how to easily deploy this (quantized) model in a serverless environment with fast CPU inference and light resource utilization.
+Check our [llm-flow-classification repository](https://github.com/minuva/llm-flow-classification) for a FastAPI and ONNX based server to deploy this model on CPU devices.