Update with h2oGPT hash c86dd3b6ef211cef2f99ece2714de09c03e1c490

app.py

@@ -556,6 +556,7 @@ def go_gradio(**kwargs):
     else:
         description = "For more information, visit [the project's website](https://github.com/h2oai/h2ogpt).<br>"
     if is_public:
+        description += "If this host is busy, try [20B](gpt.h2o.ai) and [Chatbot1 12B](https://huggingface.co/spaces/h2oai/h2ogpt-chatbot) and [Chatbot2 12B](https://huggingface.co/spaces/h2oai/h2ogpt-chatbot2)<br>"
         description += """<p><b> DISCLAIMERS: </b><ul><i><li>The model was trained on The Pile and other data, which may contain objectionable content.  Use at own risk.</i></li>"""
         if kwargs['load_8bit']:
             description += """<i><li> Model is loaded in 8-bit and has other restrictions on this host. UX can be worse than non-hosted version.</i></li>"""
@@ -913,9 +914,6 @@ body.dark{background:linear-gradient(#0d0d0d,#333333);}"""
         # Get flagged data
         zip_data1 = functools.partial(zip_data, root_dirs=['flagged_data_points', kwargs['save_dir']])
         zip_btn.click(zip_data1, inputs=None, outputs=[file_output, zip_text])
-
-        #def update_s3(x):
-        #    return gr.update(value="S3UP [%s]" % x)
         s3up_btn.click(s3up, inputs=zip_text, outputs=s3up_text)
 
         def check_admin_pass(x):

requirements.txt

@@ -1,5 +1,5 @@
 # for generate (gradio server) and finetune
-datasets==2.10.1
+datasets==2.11.0
 sentencepiece==0.1.97
 accelerate==0.18.0
 gradio==3.27.0
@@ -15,7 +15,7 @@ scikit-learn==1.2.2
 alt-profanity-check==1.2.2
 better-profanity==0.6.1
 numpy==1.24.2
-pandas==1.5.3
+pandas==2.0.0
 matplotlib==3.7.1
 loralib==0.1.1
 bitsandbytes==0.38.1