From 0f6351ab29ccba542cb56d899ee20a7140b51912 Mon Sep 17 00:00:00 2001
From: Jeff Carr <jcarr@wit.com>
Date: Sat, 3 Dec 2022 19:29:56 -0600
Subject: [PATCH] an example from chatgpt

---
 example-gpt-3/Makefile       |  3 +-
 example-gpt-3/complicated.go | 84 ++++++++++++++++++++++++++++++++++++
 2 files changed, 86 insertions(+), 1 deletion(-)
 create mode 100644 example-gpt-3/complicated.go

diff --git a/example-gpt-3/Makefile b/example-gpt-3/Makefile
index 8386e72..a44c6b2 100644
--- a/example-gpt-3/Makefile
+++ b/example-gpt-3/Makefile
@@ -1,6 +1,7 @@
 build:
 	# reset
-	GO111MODULE="off" go build -v -x
+	GO111MODULE="off" go build -v -x complicated.go
+	# GO111MODULE="off" go build -v -x
 
 deps:
 	go get github.com/openai/gpt-3
diff --git a/example-gpt-3/complicated.go b/example-gpt-3/complicated.go
new file mode 100644
index 0000000..96dda93
--- /dev/null
+++ b/example-gpt-3/complicated.go
@@ -0,0 +1,84 @@
+package main
+
+/*
+	This was literally generated via chatgpt by asking it for a complicated golang example
+*/
+
+import (
+  "fmt"
+  "github.com/openai/gpt-3"
+  "time"
+)
+
+func main() {
+  client := gpt3.NewClient("API_KEY")
+
+  // Use the "text" engine to generate text based on the given prompt.
+  res, err := client.Evaluate(gpt3.EvaluateOpts{
+    Engine: "text",
+    Prompt: "Once upon a time in a land far, far away...",
+  })
+  if err != nil {
+    panic(err)
+  }
+  fmt.Println(res.Text)
+
+  // Use the "davinci" engine to generate code for a simple web server.
+  res, err = client.Evaluate(gpt3.EvaluateOpts{
+    Engine: "davinci",
+    Prompt: "Write a simple web server in Go that responds with 'Hello, world!' to any request.",
+  })
+  if err != nil {
+    panic(err)
+  }
+  fmt.Println(res.Text)
+
+  // Use the "curie" engine to generate a natural language response to a question.
+  res, err = client.Evaluate(gpt3.EvaluateOpts{
+    Engine: "curie",
+    Prompt: "What is the capital of France?",
+  })
+  if err != nil {
+    panic(err)
+  }
+  fmt.Println(res.Text)
+
+  // Use the "babbage" engine to generate a mathematical expression.
+  res, err = client.Evaluate(gpt3.EvaluateOpts{
+    Engine: "babbage",
+    Prompt: "Generate a formula to calculate the volume of a sphere.",
+  })
+  if err != nil {
+    panic(err)
+  }
+  fmt.Println(res.Text)
+
+  // Use the "ada" engine to generate a completion for a given prompt.
+  res, err = client.Evaluate(gpt3.EvaluateOpts{
+    Engine: "ada",
+    Prompt: "The quick brown fox jumps over the lazy dog. The fox is very smart and knows how to...",
+    MaxTokens: 128, // Limit the response to 128 tokens.
+    Temperature: 0.5, // Use a higher temperature for more varied responses.
+  })
+  if err != nil {
+    panic(err)
+  }
+  fmt.Println(res.Text)
+
+  // Use the "ada" engine to generate multiple completions for a given prompt.
+  completions, err := client.Completions(gpt3.CompletionsOpts{
+    Engine: "ada",
+    Prompt: "The quick brown fox jumps over the lazy dog. The fox is very smart and knows how to...",
+    MaxTokens: 128, // Limit the response to 128 tokens.
+    Temperature: 0.5, // Use a higher temperature for more varied responses.
+    N: 3, // Generate 3 completions.
+    Stop: "\n", // Stop the completions when a newline is encountered.
+  })
+  if err != nil {
+    panic(err)
+  }
+  for i, c := range completions {
+  	log.Println("i, c =", i, c)
+}
+}
+