Update app.py

alf take the wheel

app.py

@@ -1,5 +1,7 @@
 # Copyright 2023 MosaicML spaces authors
 # SPDX-License-Identifier: Apache-2.0
+# anything broken is Luke's fault
+
 import datetime
 import os
 from threading import Event, Thread
@@ -177,13 +179,11 @@ with gr.Blocks(
 ) as demo:
     conversation_id = gr.State(get_uuid)
     gr.Markdown(
-        """<h1><center>MosaicML MPT-7B-Chat</center></h1>
-
-        This demo is of [MPT-7B-Chat](https://huggingface.co/mosaicml/mpt-7b-chat). It is based on [MPT-7B](https://huggingface.co/mosaicml/mpt-7b) fine-tuned with approximately [171,000 conversation samples from this dataset](https://huggingface.co/datasets/sam-mosaic/vicuna_alpaca_hc3_chatml) and another [217,000 from this dataset](https://huggingface.co/datasets/sam-mosaic/hhrlhf_evol_chatml).
+        """<h1><center>cxntextMPT</center></h1>
 
-        If you're interested in [training](https://www.mosaicml.com/training) and [deploying](https://www.mosaicml.com/inference) your own MPT or LLMs, [sign up](https://forms.mosaicml.com/demo?utm_source=huggingface&utm_medium=referral&utm_campaign=mpt-7b) for MosaicML platform.
+        This model engages three Matrix LLMs, others pending integration
 
-        This is running on a smaller, shared GPU, so it may take a few seconds to respond. If you want to run it on your own GPU, you can [download the model from HuggingFace](https://huggingface.co/mosaicml/mpt-7b-chat) and run it locally. Or [Duplicate the Space](https://huggingface.co/spaces/mosaicml/mpt-7b-chat?duplicate=true) to skip the queue and run in a private space.
+        Running on a potato, be patient.
 """
     )
     chatbot = gr.Chatbot().style(height=500)
@@ -200,7 +200,7 @@ with gr.Blocks(
                 stop = gr.Button("Stop")
                 clear = gr.Button("Clear")
     with gr.Row():
-        with gr.Accordion("Advanced Options:", open=False):
+        with gr.Accordion("Advanced", open=False):
             with gr.Row():
                 with gr.Column():
                     with gr.Row():
@@ -251,10 +251,7 @@ with gr.Blocks(
                         )
     with gr.Row():
         gr.Markdown(
-            "Disclaimer: MPT-7B can produce factually incorrect output, and should not be relied on to produce "
-            "factually accurate information. MPT-7B was trained on various public datasets; while great efforts "
-            "have been taken to clean the pretraining data, it is possible that this model could generate lewd, "
-            "biased, or otherwise offensive outputs.",
+            "Disclaimer: All included models can produce factually incorrect output, and if they don't they will be forced to by Elon.",
             elem_classes=["disclaimer"],
         )
     with gr.Row():