Update gradio_app.py

gradio_app.py

@@ -25,11 +25,11 @@ translator_tokenizer.src_lang = "en"
 title = "llama.cpp API"
 desc = '''<h1>Hello, world!</h1>
 This is showcase how to make own server with Llama2 model.<br>
-I'm using here 7b model just for example. Also here's only CPU power.<br>
-But you can use GPU power as well!<br>
+I'm using here 13b model just for example. Also here's only CPU power.<br>
+But you can use GPU power as well!<br><br>
 <h1>How to GPU?</h1>
-Change <code>`CMAKE_ARGS="-DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS`</code> in Dockerfile on <code>`CMAKE_ARGS="-DLLAMA_CUBLAS=on"`</code>. Also you can try <code>`DLLAMA_CLBLAST`</code>, <code>`DLLAMA_METAL`</code> or <code>`DLLAMA_METAL`</code>.<br>
-Powered by <a href="https://github.com/abetlen/llama-cpp-python">llama-cpp-python</a>, <a href="https://quart.palletsprojects.com/">Quart</a> and <a href="https://www.uvicorn.org/">Uvicorn</a>.<br>
+Change <code>`CMAKE_ARGS="-DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS`</code> in Dockerfile on <code>`CMAKE_ARGS="-DLLAMA_CUBLAS=on"`</code>. Also you can try <code>`DLLAMA_CLBLAST`</code> or <code>`DLLAMA_METAL`</code>.<br><br>
+Powered by <a href="https://github.com/abetlen/llama-cpp-python">llama-cpp-python</a> and <a href="https://www.gradio.app/">Gradio</a>.<br><br>
 <h1>How to test it on own machine?</h1>
 You can install Docker, build image and run it. I made <code>`run-docker.sh`</code> for ya. To stop container run <code>`docker ps`</code>, find name of container and run <code>`docker stop _dockerContainerName_`</code><br>
 Or you can once follow steps in Dockerfile and try it on your machine, not in Docker.<br>