Licensing remarks

artitw · Aug 6, 2023 · de88835 · de88835
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diff --git a/LICENSE.txt b/LICENSE.txt
@@ -1,8 +1,3 @@
-This open source software utilizes other open source components with their own 
-licensing agreements. As the consumer of this software, you agree to abide by 
-the licensing requirements set forth by the respective components used, e.g.
-Assistant is based on the LLaMA model, which is non-commercially licensed.
-
 The MIT License (MIT)
 
 Copyright (c) Artit Wangperawong
@@ -24,3 +19,7 @@ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 SOFTWARE.
+
+This open source software utilizes other open source components with their own 
+licensing agreements. As the consumer of this software, you agree to abide by 
+the licensing requirements set forth by the respective components used.
diff --git a/README.md b/README.md
@@ -186,8 +186,9 @@ t2t.Transformer.LANGUAGES
 ## Examples
 
 ### Assistant
-Based on Vicuna 13B, which is based on LLaMA, which is not commercially licensed.
-Not ChatGPT level but it works well.
+- Free private open source alternative to commercial LLMs. 
+- Commercial LLMs are costly, collect your data, impose quotas and rate limits that hinder development.
+- Run at no cost on Google Colab free tier, so you don't even need your own device.
 ```
 instructions = "Generate a JSON object that maps English characters as keys and Greek equivalents as values: {"
 res = t2t.Assistant().transform([instructions])

diff --git a/demos/[Text2Text]_Demo_All.ipynb b/demos/[Text2Text]_Demo_All.ipynb
@@ -59,8 +59,9 @@
       "cell_type": "code",
       "source": [
         "### Assistant\n",
-        "# Based on Vicuna 13B, which is based on LLaMA, which is not commercially licensed.\n",
-        "# Not ChatGPT level but it works well.\n",
+        "# Free private open source alternative to commercial LLMs.\n",
+        "# Commercial LLMs are costly, collect your data, impose quotas and rate limits that hinder development.\n",
+        "# Run at no cost on Google Colab free tier, so you don't even need your own device.\n",
         "# To add a knowledge base, see https://colab.research.google.com/drive/1hkNgpSmmUA-mzUibqz25xq-E8KYOLuVx?usp=sharing\n",
         "\n",
         "assistant = t2t.Assistant()\n",
@@ -1010,7 +1011,10 @@
     {
       "cell_type": "code",
       "source": [
-        "server = t2t.Server(host='0.0.0.0', port=80)"
+        "server = t2t.Server(host='0.0.0.0', port=80)\n",
+        "\n",
+        "import time\n",
+        "time.sleep(1)"
       ],
       "metadata": {
         "id": "hv72aPlE5ww1",

diff --git a/setup.py b/setup.py
@@ -5,7 +5,7 @@
 
 setuptools.setup(
   name="text2text",
-  version="1.2.8",
+  version="1.2.9",
   author="Artit Wangperawong",
   author_email="[email protected]",
   description="Text2Text: Crosslingual NLP/G toolkit",