Add openai docs

DEVELOPER_GUIDE.md

@@ -32,12 +32,13 @@ hatch run pre-commit install
 On contribution:
 
 1. Add desired example under `examples/`
-2. Update `tests/ui/user.py` to include your new example
+2. Update `tests/ui/inputs.py` to include your new example
 3. Then run the following commands, updating <NAME_OF_YOUR_EXAMPLE> and <YOUR_BRANCH_NAME>
 
 ```bash
 hatch run pytest -s -m ui --screenshot on --video on --headed -k <NAME_OF_YOUR_EXAMPLE>
 hatch run docs-build
+hatch run docs-serve  # to make sure everything looks correct
 git checkout -b <YOUR_BRANCH_NAME>
 git add commit
 git push origin <YOUR_BRANCH_NAME>

docs/applicable_recipes.md

@@ -1,6 +1,105 @@
 # Applicable Recipes
 Demonstrates how to use Panel's chat components to achieve specific tasks with popular LLM packages.
 
+## Openai Images Dall E
+
+
+<video controls poster="../assets/thumbnails/openai_images_dall_e.png" >
+    <source src="../assets/videos/openai_images_dall_e.mp4" type="video/mp4"
+    style="max-height: 400px; max-width: 600px;">
+    Your browser does not support the video tag.
+</video>
+
+
+
+<details>
+
+<summary>Source code for <a href='../examples/applicable_recipes/openai_images_dall_e.py' target='_blank'>openai_images_dall_e.py</a></summary>
+
+```python
+import panel as pn
+from openai import AsyncOpenAI
+
+pn.extension()
+
+
+async def callback(contents: str, user: str, instance: pn.chat.ChatInterface):
+    if api_key_input.value:
+        # use api_key_input.value if set, otherwise use OPENAI_API_KEY
+        aclient.api_key = api_key_input.value
+
+    response = await aclient.images.generate(
+        model=model_buttons.value,
+        prompt=contents,
+        n=n_images_slider.value,
+        size=size_buttons.value,
+    )
+
+    image_panes = [(str(i), pn.pane.Image(data.url)) for i, data in enumerate(response.data)]
+    return pn.Tabs(*image_panes) if len(image_panes) > 1 else image_panes[0][1]
+
+
+def update_model_params(model):
+    if model == "dall-e-2":
+        size_buttons.param.update(
+            options=["256x256", "512x512", "1024x1024"],
+            value="256x256",
+        )
+        n_images_slider.param.update(
+            start=1,
+            end=10,
+            value=1,
+        )
+    else:
+        size_buttons.param.update(
+            options=["1024x1024", "1024x1792", "1792x1024"],
+            value="1024x1024",
+        )
+        n_images_slider.param.update(
+            start=1,
+            end=1,
+            value=1,
+        )
+
+
+aclient = AsyncOpenAI()
+api_key_input = pn.widgets.PasswordInput(
+    placeholder="sk-... uses $OPENAI_API_KEY if not set",
+    sizing_mode="stretch_width",
+    styles={"color": "black"},
+)
+model_buttons = pn.widgets.RadioButtonGroup(
+    options=["dall-e-2", "dall-e-3"],
+    value="dall-e-2",
+    name="Model",
+    sizing_mode="stretch_width",
+)
+size_buttons = pn.widgets.RadioButtonGroup(
+    options=["256x256", "512x512", "1024x1024"],
+    name="Size",
+    sizing_mode="stretch_width",
+)
+n_images_slider = pn.widgets.IntSlider(
+    start=1, end=10, value=1, name="Number of images"
+)
+pn.bind(update_model_params, model_buttons, watch=True)
+chat_interface = pn.chat.ChatInterface(
+    callback=callback,
+    callback_user="DALL·E",
+    help_text="Send a message to get a reply from DALL·E!",
+)
+template = pn.template.BootstrapTemplate(
+    title="OpenAI DALL·E",
+    header_background="#212121",
+    main=[chat_interface],
+    header=[api_key_input],
+    sidebar=[model_buttons, size_buttons, n_images_slider],
+)
+template.servable()
+```
+</details>
+
+
 ## Langchain Chat With Pdf
 
 Demonstrates how to use the `ChatInterface` to chat about a PDF using

docs/examples/applicable_recipes/openai_images_dall_e.py

@@ -0,0 +1,81 @@
+import panel as pn
+from openai import AsyncOpenAI
+
+pn.extension()
+
+
+async def callback(contents: str, user: str, instance: pn.chat.ChatInterface):
+    if api_key_input.value:
+        # use api_key_input.value if set, otherwise use OPENAI_API_KEY
+        aclient.api_key = api_key_input.value
+
+    response = await aclient.images.generate(
+        model=model_buttons.value,
+        prompt=contents,
+        n=n_images_slider.value,
+        size=size_buttons.value,
+    )
+
+    image_panes = [
+        (str(i), pn.pane.Image(data.url)) for i, data in enumerate(response.data)
+    ]
+    return pn.Tabs(*image_panes) if len(image_panes) > 1 else image_panes[0][1]
+
+
+def update_model_params(model):
+    if model == "dall-e-2":
+        size_buttons.param.update(
+            options=["256x256", "512x512", "1024x1024"],
+            value="256x256",
+        )
+        n_images_slider.param.update(
+            start=1,
+            end=10,
+            value=1,
+        )
+    else:
+        size_buttons.param.update(
+            options=["1024x1024", "1024x1792", "1792x1024"],
+            value="1024x1024",
+        )
+        n_images_slider.param.update(
+            start=1,
+            end=1,
+            value=1,
+        )
+
+
+aclient = AsyncOpenAI()
+api_key_input = pn.widgets.PasswordInput(
+    placeholder="sk-... uses $OPENAI_API_KEY if not set",
+    sizing_mode="stretch_width",
+    styles={"color": "black"},
+)
+model_buttons = pn.widgets.RadioButtonGroup(
+    options=["dall-e-2", "dall-e-3"],
+    value="dall-e-2",
+    name="Model",
+    sizing_mode="stretch_width",
+)
+size_buttons = pn.widgets.RadioButtonGroup(
+    options=["256x256", "512x512", "1024x1024"],
+    name="Size",
+    sizing_mode="stretch_width",
+)
+n_images_slider = pn.widgets.IntSlider(
+    start=1, end=10, value=1, name="Number of images"
+)
+pn.bind(update_model_params, model_buttons, watch=True)
+chat_interface = pn.chat.ChatInterface(
+    callback=callback,
+    callback_user="DALL·E",
+    help_text="Send a message to get a reply from DALL·E!",
+)
+template = pn.template.BootstrapTemplate(
+    title="OpenAI DALL·E",
+    header_background="#212121",
+    main=[chat_interface],
+    header=[api_key_input],
+    sidebar=[model_buttons, size_buttons, n_images_slider],
+)
+template.servable()

docs/kickstart_snippets.md

@@ -391,6 +391,14 @@ Highlights:
 - Uses `serialize` to get chat history from the `ChatInterface`.
 - Uses `yield` to continuously concatenate the parts of the response
 
+<video controls poster="../assets/thumbnails/llama_index.png" >
+    <source src="../assets/videos/llama_index.mp4" type="video/mp4"
+    style="max-height: 400px; max-width: 600px;">
+    Your browser does not support the video tag.
+</video>
+
+
+
 <details>
 
 <summary>Source code for <a href='../examples/kickstart_snippets/llama_index_.py' target='_blank'>llama_index_.py</a></summary>

tests/ui/inputs.py

@@ -116,6 +116,12 @@ def openai_chat_with_hvplot(page: Page):
     page.wait_for_timeout(4000)
 
 
+def openai_images_dall_e(page: Page):
+    chat = ChatInterface(page)
+    chat.send("Create a complex HoloViz dashboard")
+    page.wait_for_timeout(12000)
+
+
 # get all the local functions here
 # and put them in a dict
 # so we can call them by name like {"openai_two_bots.py": openai_two_bots}