Update readme.md

demos/langchain-video-chat/readme.md

@@ -1,7 +1,5 @@
 # Run LLMs on CPU With LangChain and DeepSparse: Chat With Video Demo
 
-[![HF](https://huggingface.co/datasets/huggingface/badges/resolve/main/open-in-hf-spaces-lg.svg)](https://huggingface.co/spaces/neuralmagic/videochat)
-
 This examples demostrates how to run a video chatbot on CPUs using [DeepSparse](https://github.com/neuralmagic/deepsparse/), [LangChain](https://github.com/langchain-ai/langchain) and [Chainlit](https://github.com/Chainlit/chainlit). The project can run on a CPU with 16GB of RAM. DeepSparse provides accelerated inference on CPUs by taking advantage of a model's sparsity to deliver GPU-class performance on CPUs. 
 
 ## Installation 
@@ -17,4 +15,4 @@ pip install -r requrements.txt
 chainlit run app.py -w
 ```
 
-![PDF Image](../../images/video.png)
+![PDF Image](../../images/video.png)