new file: GPT-Prompt-Examples/user-role/UR-2.md

	modified:   README.md

GPT-Prompt-Examples/user-role/UR-2.md

@@ -0,0 +1,16 @@
+## Function Generation With LLMs
+
+This prompt was found [here](https://github.com/sammi-turner/Python-To-Mojo/tree/main#function-generation-with-llms "Direct link"), so thanks to @sammi-turner!
+
+"""
+
+This prompt template is good for generating Python functions.
+
+```
+Write a [name] function in Python3 that takes
+[name the parameters and their types] and returns
+a [type] such that [describe what the function does].
+Then show me the code.
+```
+
+"""

README.md

@@ -41,10 +41,6 @@ This module offers a set of functionalities for conversational agents in LangCha
 **Usage:**
 To use this module, simply import the functionalities you need and configure them accordingly.
 
-```python
-from langchain_conv_agent import YOUR_FUNCTION
-```
-
 ---
 
 `query_local_docs.py`
@@ -60,14 +56,9 @@ This module focuses on querying local documents and employs the following featur
 **Usage:**
 Similar to `langchain_conv_agent.py`, you can import the functionalities you require.
 
-```python
-from query_local_docs import YOUR_FUNCTION
-```
-
 These modules are designed to be extensible and can be easily integrated into your LangChain projects.
 
-
-<!--
+<!-- PLACEHOLDER FOR FUTURE MINDMAPPING IMAGE
 <div align="center">
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