Add example to show OpenAI's Assistant API with async/await (#4136)

This PR adds an example on how to integrate [OpenAI's Assistant
API](https://platform.openai.com/docs/assistants/overview) with NiceGUI.

<img width="736" alt="Screenshot 2024-12-22 at 09 05 08"
src="https://github.com/user-attachments/assets/162f378e-cd5c-4896-a6d1-9e4634912e75"
/>

---------

Co-authored-by: Falko Schindler <falko@zauberzeug.com>

examples/chat_with_ai/main.py

@@ -9,7 +9,7 @@
 
 @ui.page('/')
 def main():
-    llm = ChatOpenAI(model_name='gpt-3.5-turbo', streaming=True, openai_api_key=OPENAI_API_KEY)
+    llm = ChatOpenAI(model_name='gpt-4o-mini', streaming=True, openai_api_key=OPENAI_API_KEY)
 
     async def send() -> None:
         question = text.value

examples/openai_assistant/main.py

@@ -0,0 +1,60 @@
+#!/usr/bin/env python3
+from openai import AsyncOpenAI
+from openai.types.beta.assistant_stream_event import ThreadMessageInProgress
+from openai.types.beta.threads import MessageDeltaEvent, TextDeltaBlock
+
+from nicegui import ui
+
+client = AsyncOpenAI(api_key='provide your OpenAI API key here')
+
+
+@ui.page('/')
+async def main():
+    assistant = await client.beta.assistants.create(
+        name='NiceGUI Assistant',
+        instructions='''
+            You are a personal assistant for NiceGUI developers.
+            Your sole focus is to help with questions about the NiceGUI framework.
+            You are precise and concise.
+            Stay on the topic.
+            Very short answers are preferred, but always be friendly and polite.
+        ''',
+        tools=[{'type': 'code_interpreter'}],
+        model='gpt-4o-mini',
+    )
+
+    thread = await client.beta.threads.create()
+
+    async def send() -> None:
+        response.content = ''
+        spinner = ui.spinner(size='5em', type='comment').classes('mx-auto')
+        await client.beta.threads.messages.create(
+            thread_id=thread.id,
+            role='user',
+            content=question.value,
+        )
+        stream = await client.beta.threads.runs.create(
+            assistant_id=assistant.id,
+            thread_id=thread.id,
+            stream=True,
+        )
+        async for chunk in stream:
+            if isinstance(chunk, ThreadMessageInProgress):
+                spinner.delete()
+            # NOTE: the stream contains a lot of different types so we need to filter out the ones we don't need
+            if not isinstance(chunk.data, MessageDeltaEvent) or not chunk.data.delta.content:
+                continue
+            content = chunk.data.delta.content[0]
+            if not isinstance(content, TextDeltaBlock) or content.text is None or content.text.value is None:
+                continue
+            response.content += content.text.value
+
+    with ui.column().classes('mx-auto w-full max-w-xl my-16'):
+        ui.label('NiceGUI Assistant').classes('text-2xl font-bold mx-auto')
+        question = ui.input(value='Why does NiceGUI use async/await?') \
+            .classes('w-full self-center mt-4').props('hint="Ask your question" dense') \
+            .on('keydown.enter', send)
+        response = ui.markdown().classes('mx-4 mt-2')
+        ui.timer(0, send, once=True)  # NOTE: we send the prepared demo question immediately
+
+ui.run()

examples/openai_assistant/requirements.txt

@@ -0,0 +1 @@
+openai==1.58.1

website/examples.py

@@ -69,4 +69,5 @@ def __post_init__(self) -> None:
     Example('NGINX HTTPS', 'Use NGINX to serve a NiceGUI app with HTTPS'),
     Example('Node Module Integration', 'Use NPM to add dependencies to a NiceGUI app'),
     Example('Signature Pad', 'A custom element based on [signature_pad](https://www.npmjs.com/package/signature_pad'),
+    Example('OpenAI Assistant', "Using OpenAI's Assistant API with async/await"),
 ]