{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/92e110b077be402796e015cc174fc22d\" frameborder=\"0\" width=\"1664\" height=\"1248\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1248,"width":1664,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1248,"thumbnail_width":1664,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/92e110b077be402796e015cc174fc22d-00001.gif","duration":140.833328,"title":"Truth Whispers ","description":"You are implementing a statement analysis report using the Whisper model from Hugging Face. The project is part of your work with Clincom Healthcare, which involves creating medical reports of mental health data. Additionally, you are working on a Streamlit app for analyzing speech about technology using the Groq API for chat completions. The repository for this project, titled \"Whispers,\" is located at [this GitHub link](https://github.com/samshanmukh/Whispers.git)."}