diff --git a/chatbot_ui/app/run_stream.py b/chatbot_ui/app/run_stream.py
deleted file mode 100644
index 55c505e4..00000000
--- a/chatbot_ui/app/run_stream.py
+++ /dev/null
@@ -1,43 +0,0 @@
-# copied from https://www.gradio.app/guides/creating-a-chatbot-fast#a-streaming-example-using-openai
-
-import os
-from openai import OpenAI
-import gradio as gr
-
-api_key = os.getenv("OPENAI_API_KEY")
-CHAT_COMPLETION_ENDPOINT = os.getenv(
-    "CHAT_COMPLETION_ENDPOINT", "https://api.openai.com/v1"
-)
-
-client = OpenAI(api_key="--", base_url=CHAT_COMPLETION_ENDPOINT)
-
-
-def predict(message, history):
-    history_openai_format = []
-    for human, assistant in history:
-        history_openai_format.append({"role": "user", "content": human})
-        history_openai_format.append({"role": "assistant", "content": assistant})
-    history_openai_format.append({"role": "user", "content": message})
-
-    stream = True
-    raw_response = client.chat.completions.with_raw_response.create(
-        model="gpt-3.5-turbo",
-        messages=history_openai_format,
-        temperature=1.0,
-        stream=stream,
-    )
-
-    response = raw_response.parse()
-
-    partial_message = ""
-    if stream:
-        for chunk in response:
-            if chunk.choices[0].delta.content is not None:
-                partial_message = partial_message + chunk.choices[0].delta.content
-                yield partial_message
-    else:
-        partial_message = response.choices[0].message.content
-        yield partial_message
-
-
-gr.ChatInterface(predict).launch(server_name="0.0.0.0", server_port=8080)