add not maintained (#26)

funtions -> functions

.github/workflows/release.yml

@@ -1,9 +1,7 @@
 name: release
 
 on:
-  pull_request:
-    types:
-      - closed
+  push:
     branches:
       - main
     paths:
@@ -15,9 +13,8 @@ env:
 
 jobs:
   if_release:
-    if: |
-        ${{ github.event.pull_request.merged == true }}
-        && ${{ contains(github.event.pull_request.labels.*.name, 'release') }}
+    # Disallow publishing from branches that aren't `main`.
+    if: github.ref == 'refs/heads/main'
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v3

README.md

@@ -1,5 +1,14 @@
 [![Unit Tests](https://github.com/langchain-ai/kork/actions/workflows/test.yml/badge.svg?branch=main&event=push)](https://github.com/langchain-ai/kork/actions/workflows/test.yml)
 
+
+# NOT MAINTAINED
+
+`Kork` was a prototype for agents that can take multiple (dependent) actions at once; i.e., when the input of action 2 depends on the output from action 1.
+
+This is distinct from parallel tool use where the inputs into the tools are independent of the tools outputs.
+
+We're currently not maintaining Kork, but you're welcome to use it for your own research.
+
 # Kork ![alt The Parrot](assets/parrot.png)
 
 `Kork` is an *experimental* [Langchain chain](https://python.langchain.com/en/latest/modules/chains.html) that helps build natural language APIs powered by LLMs.
@@ -11,6 +20,12 @@
 3. Execute the program generated by the LLM **safely**.
 4. Program generation takes a single LLM call, as opposed to agents that use a call per action taken.
 
+## Show me! 😹 
+
+[Image manipulation API using PIL](https://langchain-ai.github.io/kork/examples/image_manipulation.html)
+
+<img src="assets/cats.png" alt="Cats!!!" style="max-width: 500px;">
+
 ## How
 
 The chain takes a user query, translates it into a program, and executes it using the `Kork` interpreter.

docs/source/examples/image_manipulation.ipynb

@@ -184,7 +184,9 @@
     "pycharm": {
      "name": "#%%\n"
     },
-    "tags": []
+    "tags": [
+     "hide-input"
+    ]
    },
    "outputs": [],
    "source": [

docs/source/introduction.ipynb

@@ -85,7 +85,7 @@
     "\n",
     "Information about these functions will be added into the prompt to let the LLM know it can use them.\n",
     "\n",
-    "The funtions will also be added as foregin functions into the kork interpreter environment, so the interpreter can actually use them!"
+    "The functions will also be added as foregin functions into the kork interpreter environment, so the interpreter can actually use them!"
    ]
   },
   {

kork/display.py

@@ -42,8 +42,6 @@ class HtmlResult(TypedDict):
 class _NoExpectedAnswer:
     """A sentinel class to indicate that there is no expected answer."""
 
-    pass
-
 
 NO_EXPECTED_ANSWER = _NoExpectedAnswer()
 
@@ -61,7 +59,12 @@ def as_html_dict(
     code = code_result["code"].strip()
 
     if pretty_print:
-        code = AstPrinter().visit(parse(code), pretty_print=True)
+        try:
+            code = AstPrinter().visit(parse(code), pretty_print=True)
+        except Exception:
+            # This is display code. Broad exception handling OK for now
+            # we can make the code more robust later.
+            code = code
     else:
         code = code
 

pyproject.toml

@@ -1,7 +1,7 @@
 [tool.poetry]
 name = "kork"
-version = "0.0.2"
-description = "Programming with LLMs"
+version = "0.0.3"
+description = "Natural Language Interfaces Powered by LLMs"
 authors = ["LangChain"]
 license = "MIT"
 readme = "README.md"