ashmib commited on
Commit
43194f7
Β·
verified Β·
1 Parent(s): 8b76ef4
Files changed (1) hide show
  1. app.py +3 -4
app.py CHANGED
@@ -34,11 +34,10 @@ with gr.Blocks() as demo:
34
  gr.HTML("""<center><h1 style='font-size:xx-large;'>πŸ‡ͺπŸ‡Ί Euro City Recommender using Gemini & Gemma πŸ‡ͺπŸ‡Ί</h1><br><h3>Gemini
35
  & Gemma Sprints 2024 submissions by Ashmi Banerjee. </h3></center> <br><p>We're testing the compatibility of
36
  Retrieval Augmented Generation (RAG) implementations with Google's <b>Gemma-2b-it</b> & <b>Gemini 1.0 Pro</b>
37
- models through HuggingFace and VertexAI respectively to generate travel recommendations. This early version (read
38
  quick and dirty implementation) aims to see if functionalities work smoothly. It relies on Wikipedia abstracts
39
- from 160 European cities to provide answers to your questions. Please be kind with it as it's a work in progress!
40
- </p> <br>Google Cloud credits are provided for this project.
41
- <p><b>Update: 12th April, 2024: <a href="https://huggingface.co/docs/text-generation-inference/en/supported_models"> HuggingFace TGI stopped Gemma support. Hence, only Gemini is supported now.</a></b></p>
42
  """)
43
 
44
  with gr.Group():
 
34
  gr.HTML("""<center><h1 style='font-size:xx-large;'>πŸ‡ͺπŸ‡Ί Euro City Recommender using Gemini & Gemma πŸ‡ͺπŸ‡Ί</h1><br><h3>Gemini
35
  & Gemma Sprints 2024 submissions by Ashmi Banerjee. </h3></center> <br><p>We're testing the compatibility of
36
  Retrieval Augmented Generation (RAG) implementations with Google's <b>Gemma-2b-it</b> & <b>Gemini 1.0 Pro</b>
37
+ models through HuggingFace and VertexAI, respectively, to generate travel recommendations. This early version (read
38
  quick and dirty implementation) aims to see if functionalities work smoothly. It relies on Wikipedia abstracts
39
+ from 160 European cities to provide answers to your questions. Please be kind with it, as it's a work in progress!
40
+ </p> <br>Google Cloud credits are provided for this project. </p>
 
41
  """)
42
 
43
  with gr.Group():