adding openai. might as well use it till we lose it

app/cogs/actual_utils.py

@@ -47,6 +47,22 @@ class ActualUtils(commands.Cog):
         await ctx.message.delete()
         os.remove(file_path)
 
+    @commands.command(name="ask", aliases=["wolfram"])
+    async def ask(self, ctx: commands.Context):
+        import questions
+
+        await ctx.reply(
+            questions.answer_question(ctx.message.content),
+        )
+
+    @commands.command(name="openai")
+    async def openai(self, ctx: commands.Context):
+        import questions
+
+        await ctx.reply(
+            questions.open_ai(ctx.message.content),
+        )
+
     @commands.command(name="trackdays")
     async def trackdays(self, ctx: commands.Context):
         role = discord.utils.find(

app/cogs/cheeky_functions.py

@@ -114,14 +114,6 @@ class Cheeky(commands.Cog):
 
         await ctx.reply(excuse.get_excuse())
 
-    @commands.command(name="ask", aliases=["wolfram"])
-    async def ask(self, ctx: commands.Context):
-        import questions
-
-        await ctx.reply(
-            questions.answer_question(ctx.message.content),
-        )
-
     @commands.command(name="meme")
     async def meme(self, ctx: commands.Context):
 

app/cogs/markov.py

@@ -1,37 +0,0 @@
-from discord.ext import commands
-import discord
-import markovify
-import random
-
-
-class Markov(commands.Cog):
-    def __init__(self, bot):
-        self.bot: commands.Bot = bot
-
-    @commands.command(name="markov")
-    async def markov(self, ctx: commands.Context, user: discord.Member):
-
-        temp_message = await ctx.send("Just a moment, generating a markov chain")
-
-        # Get messages from passed in user
-        authors_mesages = []
-        for message in await ctx.history(limit=15000).flatten():
-            if message.author.id == user.id and "https" not in message.content:
-                authors_mesages.append(message.content)
-
-        # Make the model
-        user_model = markovify.Text(". ".join(authors_mesages))
-        model_json = user_model.to_json()
-
-        dummy = []
-        for i in range(random.randint(3, 9)):
-            dummy.append(str(user_model.make_sentence(max_words=25, tries=500)))
-        await temp_message.edit(
-            "Heres a markov chain based on %s's shitposts" % user.mention
-            + "\n\n"
-            + " ".join(dummy)
-        )
-
-
-def setup(bot):
-    bot.add_cog(Markov(bot))

app/questions.py

@@ -26,3 +26,22 @@ def answer_question(message):
                 return "Sorry, I'm unable to answer that"
 
     return help_methods.get_help_message("message")
+
+
+def open_ai(prompt):
+    import os
+    import openai
+
+    openai.api_key = os.getenv("OPENAI_API_KEY")
+
+    response = openai.Completion.create(
+        model="text-davinci-002",
+        prompt=prompt,
+        temperature=0.7,
+        max_tokens=256,
+        top_p=1,
+        frequency_penalty=0,
+        presence_penalty=0,
+    )["choices"][0]["text"]
+
+    return response

app/requirements.txt

@@ -9,4 +9,4 @@ git+https://github.com/pycord-development/pycord@8df222d86319dd16a5e559585246343
 requests
 wikipedia
 wolframalpha
-markovify
+openai

helm/values.yaml

@@ -87,3 +87,4 @@ secrets:
   ffxiv_token: ffxiv_token
   gitlab_token: gitlab_token
   wolfram_token: wolfram_token
+  OPENAI_API_KEY: OPENAI_API_KEY