feat: add initial add article command

lib/openai.ts

@@ -0,0 +1,79 @@
+import { OpenAI } from "https://deno.land/x/openai/mod.ts";
+import { OPENAI_API_KEY } from "@lib/env.ts";
+
+const openAI = OPENAI_API_KEY && new OpenAI(OPENAI_API_KEY);
+
+export async function summarize(content: string) {
+  if (!openAI) return;
+  const chatCompletion = await openAI.createChatCompletion({
+    model: "gpt-3.5-turbo",
+    messages: [
+      { "role": "system", "content": "You are a helpful assistant." },
+      { "role": "user", "content": content.slice(0, 2000) },
+      {
+        "role": "user",
+        "content":
+          "Please summarize the article in one sentence as short as possible",
+      },
+    ],
+  });
+
+  return chatCompletion.choices[0].message.content;
+}
+export async function shortenTitle(content: string) {
+  if (!openAI) return;
+  const chatCompletion = await openAI.createChatCompletion({
+    model: "gpt-3.5-turbo",
+    messages: [
+      { "role": "system", "content": "You are a helpful assistant." },
+      { "role": "user", "content": content.slice(0, 2000) },
+      {
+        "role": "user",
+        "content":
+          "Please shorten the provided website title as much as possible, don't rewrite it, just remove unneccesary informations. Please remove for example any mention of the name of the website.",
+      },
+    ],
+  });
+
+  return chatCompletion.choices[0].message.content;
+}
+
+export async function extractAuthorName(content: string) {
+  if (!openAI) return;
+  const chatCompletion = await openAI.createChatCompletion({
+    model: "gpt-3.5-turbo",
+    messages: [
+      { "role": "system", "content": "You are a helpful assistant." },
+      { "role": "user", "content": content.slice(0, 2000) },
+      {
+        "role": "user",
+        "content":
+          "If you are able to extract the name of the author from the text please respond with the name, otherwise respond with 'not found'",
+      },
+    ],
+  });
+
+  const author = chatCompletion.choices[0].message.content;
+
+  if (author !== "not found") return author;
+  return "";
+}
+
+export async function createTags(content: string) {
+  if (!openAI) return;
+  const chatCompletion = await openAI.createChatCompletion({
+    model: "gpt-3.5-turbo",
+    messages: [
+      { "role": "system", "content": "You are a helpful assistant." },
+      { "role": "user", "content": content.slice(0, 2000) },
+      {
+        "role": "user",
+        "content":
+          "Please respond with a list of genres the corresponding article falls into, dont include any other informations, just a comma seperated list of top 5 categories. Please respond only with tags that make sense even if there are less than five.",
+      },
+    ],
+  });
+
+  return chatCompletion.choices[0].message.content?.toLowerCase().split(", ")
+    .map((v) => v.replaceAll(" ", "-"));
+}