Add openai module

Dockerfile

@@ -5,7 +5,7 @@ WORKDIR /usr/src/app
 COPY requirements.txt /usr/src/app/
 RUN apk add --no-cache bash build-base capstone-dev mandoc-doc man-db w3m youtube-dl aspell aspell-fr && \
     pip install --no-cache-dir -r requirements.txt && \
-    pip install bs4 capstone dnspython && \
+    pip install bs4 capstone dnspython openai && \
     apk del build-base capstone-dev && \
     ln -s /var/lib/nemubot/home /home/nemubot
 

modules/openai.py

@@ -0,0 +1,54 @@
+"""Perform requests to openai"""
+
+# PYTHON STUFFS #######################################################
+
+from openai import OpenAI
+
+from nemubot import context
+from nemubot.hooks import hook
+
+from nemubot.module.more import Response
+
+
+# LOADING #############################################################
+
+CLIENT = None
+MODEL = "gpt-4"
+
+def load(context):
+    global CLIENT
+    if not context.config or "apikey" not in context.config:
+        raise ImportError ("You need a Wolfram|Alpha API key in order to use "
+                           "this module. Add it to the module configuration: "
+                           "\n<module name=\"openai\" "
+                           "apikey=\"XXXXXX-XXXXXXXXXX\" endpoint=\"https://...\" model=\"gpt-4\" />")
+    CLIENT = OpenAI(
+        api_key=context.config["apikey"],
+        endpoint=context.config["endpoint"],
+    )
+
+    if "model" in context.config:
+        MODEL = context.config["model"]
+
+
+# MODULE INTERFACE ####################################################
+
+@hook.ask()
+def parseask(msg):
+    chat_completion = CLIENT.chat.completions.create(
+        messages=[
+            {
+                "role": "system",
+                "content": "You are a kind multilingual assistant. Respond to the user request in 255 characters maximum. Be conscise, go directly to the point. Never add useless terms.",
+            },
+            {
+                "role": "user",
+                "content": msg.message,
+            }
+        ],
+        model=MODEL,
+    )
+
+    return Response(chat_completion.choices[0].message.content,
+                    msg.channel,
+                    msg.frm)