Update README.md

README.md

@@ -15,8 +15,8 @@ This modelcard aims to be a base template for new models. It has been generated
 ### Model Description
 
 <!-- Provide a longer summary of what this model is. -->
-A multiModal architecture model that was created and finetuned jointly by concatenating Hubert and BERT embeddings.
-Hubeet model was fine-tuned with a classification head on preprocessed audio and emotion labels in supervised manner.
+A MultiModal architecture model that was created and finetuned jointly by concatenating Hubert and BERT embeddings.
+Hubert model was fine-tuned with a classification head on preprocessed audio and emotion labels in supervised manner.
 BERT was trained on text transcrition embeddings.
 
 - **Developed by:** [More Information Needed]
@@ -31,14 +31,16 @@ BERT was trained on text transcrition embeddings.
 
 <!-- Provide the basic links for the model. -->
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+  - **Repository:** [https://github.com/netgvarun2012/VirtualTherapist/]
+- **Paper [optional]:** [https://github.com/netgvarun2012/VirtualTherapist/blob/main/documentation/Speech_and_Text_based_MultiModal_Emotion_Recognizer.pdf]
+- **Demo [optional]:** [https://huggingface.co/spaces/netgvarun2005/VirtualTherapist]
 
 ## Uses
 
 <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+'Virtual Therapist' app - an Intelligent speech and text input based assistant that can decipher emotions and generate therapeutic messages based on the Emotional state of the user.
 
+Emotions recognized - Angry,Sad,Fearful,Happy,Disgusted,Surprised,Calm with ~80% accuracy.
 ### Direct Use
 
 <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->