{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/205e9fbc94c945478139a985d5772964\" frameborder=\"0\" width=\"1728\" height=\"1296\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1296,"width":1728,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1296,"thumbnail_width":1728,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/205e9fbc94c945478139a985d5772964-51bc7625cae5b124.gif","duration":462.0952,"title":"Building a Mental Health Chatbot: Features and Demonstration","description":"Hello everyone, I'm Rohit Khadka, a final year computer science student at Hirahara College, Kathmandu. In this video, I showcase a mental health chatbot I built using LangFrame, Python, and integrated voice features with OpenAI's Whisper API and 11Labs API. I discuss some of the functionalities, including how the chatbot responds to feelings of anxiety and depression, and I highlight the limitations of the free version of the voice feature. I encourage you to ask questions to test the chatbot's understanding and provide feedback on its capabilities. Thank you for watching!"}