Add core files

.env

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+OPENAI_API_KEY=sk-###

app.py

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+# You can find this code for Chainlit python streaming here (https://docs.chainlit.io/concepts/streaming/python)
+
+# OpenAI Chat completion
+
+import openai
+import chainlit as cl
+
+# You only need the api key inserted here if it's not in your .env file
+#openai.api_key = "YOUR_API_KEY"
+
+model_name = "gpt-3.5-turbo"
+settings = {
+    "temperature": 0.7,
+    "max_tokens": 500,
+    "top_p": 1,
+    "frequency_penalty": 0,
+    "presence_penalty": 0,
+}
+
+
+@cl.on_chat_start
+def start_chat():
+    cl.user_session.set(
+        "message_history",
+        [{"role": "system", "content": "You are a helpful assistant."}],
+    )
+
+
+@cl.on_message
+async def main(message: str):
+    message_history = cl.user_session.get("message_history")
+    message_history.append({"role": "user", "content": message})
+
+    msg = cl.Message(content="")
+
+    async for stream_resp in await openai.ChatCompletion.acreate(
+        model=model_name, messages=message_history, stream=True, **settings
+    ):
+        token = stream_resp.choices[0]["delta"].get("content", "")
+        await msg.stream_token(token)
+
+    message_history.append({"role": "assistant", "content": msg.content})
+    await msg.send()