Repository: dkedar7/fast_dash (language: python)

Issue:
change routing for better compatibility with dash workspaces
* Fast Dash version: 0.2.6
* Python version: 3.9
* Operating System:

### Description

Currently, fast-dash is not compatible with dash_proxy. 
Workspaces (Dash IDE) apps can only be run in the default port (8050). When you try to use the fast_dash package in the Dash IDE, the web app will not render due to a port issue. The issue persists even when you specify the port like so: ```@fastdash(port=8050)```


### What I Did
Modify the routing code in fast dash to allow use of dash proxy ( and compatibility with Dash IDE)
```
   def run(self):
        #change from self.server to self.app
        self.app.run(  
            **self.run_kwargs
        ) if self.mode is None else self.app.run_server(
            mode=self.mode, **self.run_kwargs
        )
```

also allowing gunicorn support benefits users trying to deploy their apps into a production environment.
```
if __name__ == "__main__":
    app.run()
```

🚀 Release 0.2.7
- Pandas DataFrame is rendered as a table.
- "About" button displays the function docstring.
- Fast components are callable to update attributes.
- Documentation upates, new "Usage Patterns" page.
- New tests.
change routing for better compatibility with dash workspaces
* Fast Dash version: 0.2.6
* Python version: 3.9
* Operating System:

### Description

Currently, fast-dash is not compatible with dash_proxy. 
Workspaces (Dash IDE) apps can only be run in the default port (8050). When you try to use the fast_dash package in the Dash IDE, the web app will not render due to a port issue. The issue persists even when you specify the port like so: ```@fastdash(port=8050)```


### What I Did
Modify the routing code in fast dash to allow use of dash proxy ( and compatibility with Dash IDE)
```
   def run(self):
        #change from self.server to self.app
        self.app.run(  
            **self.run_kwargs
        ) if self.mode is None else self.app.run_server(
            mode=self.mode, **self.run_kwargs
        )
```

also allowing gunicorn support benefits users trying to deploy their apps into a production environment.
```
if __name__ == "__main__":
    app.run()
```



Discussion / hints:

Fix patch:
diff --git a/.github/workflows/dev.yml b/.github/workflows/dev.yml
index 5e7132d..da8f115 100644
--- a/.github/workflows/dev.yml
+++ b/.github/workflows/dev.yml
@@ -20,7 +20,7 @@ jobs:
     # The type of runner that the job will run on
     strategy:
       matrix:
-        python-versions: [3.7, 3.8, 3.9, '3.10']
+        python-versions: [3.8, 3.9, '3.10', '3.11']
         os: [ubuntu-latest, macos-latest, windows-latest]
     runs-on: ${{ matrix.os }}
 
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 8c0688f..5d0f46d 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,10 +1,12 @@
-# Release 0.2.6
+# Release 0.2.7
 
-## 0.2.6 (2023-09-04)
+## 0.2.7 (2023-10-18)
 
 ### Features
 
-- New chat component! Setting the output data type to `Chat` and returning a dictionary displays a chat component.
-- Introduced a transformation step before passing inputs to the callback. This allows converting non-native inputs to native data types. For example, passing a PIL.Image as input data tyoe hint doesn't need converting it to a base64 string.
-- Errors are displayed as notifications.
-- Updated documentation and tests. 
\ No newline at end of file
+- New component: `Table`
+- - Fast components are callable to update attributes. For example, to update the `page_size` attribute of `Table`, do `Table(page_size=20)`. At the same time, Fast Components can also be used as non-callable objects.
+- Pandas DataFrame is rendered as a `Table`.
+- "About" button displays the function docstring in parse markdown. New utility function to extract function docstring has been incorporated for this feature. This is, however, still experimental.
+- Documentation upates, new "Usage Patterns" page.
+- New tests.
\ No newline at end of file
diff --git a/README.md b/README.md
index 41b7c2b..58b7453 100644
--- a/README.md
+++ b/README.md
@@ -59,7 +59,7 @@ def text_to_text_function(input_text):
 And just like that (🪄), we have a completely functional interactive app!
 
 Output:
-![Simple example](https://storage.googleapis.com/fast_dash/0.2.1/Simple%20text%20to%20text.png)
+![Simple example](https://storage.googleapis.com/fast_dash/0.2.7/Simple%20text%20to%20text.png)
 ---
 
 Fast Dash can read all the function details, like its name, input and output types, docstring, and uses this information to infer which components to use.
@@ -81,7 +81,7 @@ def display_selected_text_and_number(text: str, number: int) -> str:
 ```
 
 Output:
-![Simple example with multiple inputs](https://storage.googleapis.com/fast_dash/0.2.1/Simple%20example%202.png)
+![Simple example with multiple inputs](https://storage.googleapis.com/fast_dash/0.2.7/Simple%20example%202.png)
 
 And with just a few more lines, we can add a title icon, subheader and other social branding details.
 
@@ -115,7 +115,7 @@ def multiple_output_components(start_date: datetime.date, # Adds a date componen
 
 # * Running on http://127.0.0.1:8080/ (Press CTRL+C to quit)
 ```
-![Simple example with multiple inputs](https://storage.googleapis.com/fast_dash/0.2.3/Multiple%20components%20using%20mosaic.png)
+![Simple example with multiple inputs](https://storage.googleapis.com/fast_dash/0.2.7/Multiple%20components%20using%20mosaic.png)
 
 ## About
 
@@ -123,10 +123,10 @@ Read different ways to build Fast Dash apps and additional details by navigating
 
 ### Key features
 
-- Deploy an app just by adding a decorator
+  Duild and deploy a web app by adding a decorator only.
 - Components are inferred from function type hints. Allows using Dash components as type hints.
-- Use multiple input and output components simultaneously
-- Build fast, share and iterate
+- Use multiple input and output components simultaneously.
+- Build fast, share and iterate.
 
 ## Community
 
diff --git a/docs/User guide/build.md b/docs/User guide/build.md
index f875988..d43ce58 100644
--- a/docs/User guide/build.md
+++ b/docs/User guide/build.md
@@ -302,4 +302,4 @@ We can logically separate function definition and deployment and modify configur
 
 For example, we can bring our own components and layout designs by altering the UI development code, which can be accessed using `app.app.layout`.
 
-In the [next section](components.md), we'll see what Fast Components are, what separates them from other Dash components, and how we can easily modify Dash components to make them compatible with Fast Dash.
\ No newline at end of file
+[Next](patterns.md), let's see the decision process that goes into building a deployable Fast Dash app and how all these configuration settings allow us to build a variety of apps!
\ No newline at end of file
diff --git a/docs/User guide/components.md b/docs/User guide/components.md
index 964d0ae..7826fdf 100644
--- a/docs/User guide/components.md
+++ b/docs/User guide/components.md
@@ -6,7 +6,7 @@ Fast Dash borrows the concept of `component_property` from Dash. `component_prop
 
 For example, if the first argument of a Fast Dash callback function is a `str`, we must represent this input using a component that allows users to enter text. Say we decide to use the `dbc.Input()` Dash component. On referring to the documentation of the component [here](https://dash-bootstrap-components.opensource.faculty.ai/docs/components/input/), you'll realize that we must update the `value` property of `dbc.Input()` for it to work as expected. And therefore, when defining a Fast component for this input we would use `component_property="value"`.
 
-We use this design and the fact that Fast Dash allows using Fast components as type hints, in addition of standard Python data types, to write a simple app that takes text entered by users as the first input.
+We use this design and the fact that Fast Dash allows using Fast components as type hints, in addition to standard Python data types, to write a simple app that takes text entered by users as the first input.
 
 ```py hl_lines="3 6"
 from fast_dash import Fastify, dbc
@@ -21,17 +21,18 @@ def your_function(input_text: text_input_component, ...):
 !!! note
 
     Note that Fast Dash offers prebuilt Fast Components for common use cases. Some of them are <br>
-    - `Text`: To allow entering input text<br>
-    - `Slider`: For integer inputs<br>
-    - `Upload`: Used to upload documents<br>
-    - `UploadImage`: Special case of `Upload` used to upload images<br>
+    - `Text`: To allow entering input text.<br>
+    - `Slider`: For integer inputs.<br>
+    - `Upload`: Used to upload documents.<br>
+    - `UploadImage`: Special case of `Upload` used to upload images.<br>
     - `Image`: Used to display image variables returned by callback functions.<br>
-    - `Graph`: Display Plotly graphs<br>
+    - `Graph`: Display Plotly graphs.<br>
+    - `Table`: To view Pandas dataframes.<br>
 
     These can be easily imported into your script like this:
 
     ```py
-    from fast_dash import Text, Slider, Upload, UploadImage, Image, Graph
+    from fast_dash import Text, Slider, Upload, UploadImage, Image, Graph, Table
     ```
 
 !!! note "Dash components vs Fast components"
@@ -55,7 +56,7 @@ Here's a list of all Dash components that Fast Dash natively converts to Fast co
 
 ## How to transform Dash components into Fast components
 
-If the Dash components you want to use isn't in the list of components you want to use with Fast Dash or if you want to update a different `component_property` of the component, then the `Fastify` function comes to your rescue.
+If the Dash component you want to use isn't supported by Fast Dash off the shelf or if you want to use a different `component_property` of a Dash component, then the `Fastify` function will come to your rescue.
 
 Use this syntax to do the conversion:
 
@@ -66,7 +67,7 @@ from fastdash import Fastify
 fast_component = Fastify(component=dash_component, component_property=...)
 ```
 
-For example, Fast Dash doesn't natively support automatic conversion of [Dash bio components](https://dash.plotly.com/dash-bio/molecule2dviewer) to Fast components. But, `Fastify` can convert any Dash component to a Fast component. Say, we wanted to use `dash.bio.Molecule2dViewer` to view a molecule:
+For example, Fast Dash doesn't natively support automatic conversion of [Dash bio components](https://dash.plotly.com/dash-bio/molecule2dviewer) to Fast components. But, `Fastify` can convert it into a Fast component. Say, we wanted to use `dash.bio.Molecule2dViewer` to view a molecule:
 
 ```py
 from fast_dash import fastdash, Fastify
@@ -75,6 +76,7 @@ from dashbio import Molecule2dViewer
 molecule_fast_component = Fastify(component=Molecule2dViewer(), 
                                     component_property="modelData")
 
+@fastdash
 def view_molecule(...) -> molecule_fast_component:
     ...
 ```
\ No newline at end of file
diff --git a/docs/User guide/patterns.md b/docs/User guide/patterns.md
index 2c20383..342002a 100644
--- a/docs/User guide/patterns.md
+++ b/docs/User guide/patterns.md
@@ -1,1 +1,206 @@
-Coming soon ...
+# Usage Patterns
+
+Fast Dash helps build and deploy Proof of Concept (POC) applications lightning fast while having
+you, the innovator, write as less UI development code as possible. 
+
+This document outlines some common Fast Dash patterns and how you can use these ideas to fastrack your deployment.
+
+## Before you begin
+
+Never worry about web app development or deployment before you are comfortable about your main Python functionality and supporting code.
+
+!!! note
+    The whole Fast Dash promise is to decrease the time needed for app development after you have written the main Python software, not distracting you from your innovation.
+
+    So focus on the main functionality of your code and don't worry about the web app.
+
+After you are comfortable with your Python function ...
+
+## 1. Setting input components
+
+By setting the correct callback function type hints, their default values, or choosing Dash components, and built-in Fast components, you can display most common UI elements for users to enter their inputs.
+
+!!! note
+
+
+If you used the proper Python function type hinting practices, you might not have to make many changes to your code. 
+
+Here are some examples:
+
+| Input is | Type hint | Default value | Example   |
+|-----------|-----------|---------------|-----------|
+<b>Text<b>
+| Text | `str` | Any | `def my_func(arg1: str)`|
+| Single item from a list of fixed items | `str` | List of allowed text items | `def get_gdp(country: str = ["USA", "Canada", "Mexico"])` |
+| List of items and users can add their own items | `list` | Blank | `def enter_web_urls(urls: list)` |
+| List of items and users must choose from a fixed set of items | `list` | List of fixed set of items | `def enter_web_urls(urls: list = ["google.com", "youtube.com", "facebook.com", "bing.com"])` |
+<b>Numbers<b>
+| Number | `int` or `float` | Blank | `def enter_score(score: int)` or `def enter_score(score: float)` |
+| Bounded number | `int` or `float` | List of bounds and step size in the format: `range(min, max, step)` | `def enter_score(score: int = range(0, 10))` or `def enter_score(score: float = list(np.arange(0, 10, 0.1)))` |
+<b>Images and documents<b>
+| Image | `PIL.Image.Image` | Blank or default image (PIL format) | `def upload_image(image: PIL.Image.Image)` |
+| Any document | Built-in component `Upload` | Blank | `def upload_doc(doc: Upload)` |
+<b>Dates<b>
+| Single date | `datetime.date` or `datetime.datetime` | Blank or default date | `def set_date(date: datetime.date = datetime.date(2023, 1, 1))` |
+
+
+## 2. Setting output components
+
+We've seen that we can set the desired input component by choosing a specific combination of input type hints and default values.
+Setting output components works similar to that.
+
+!!! Reminder
+    Return type hints in Python are written in the function description following the `->` symbol.
+
+    For example, 
+
+    - `def my_func(...) -> str` indicates that the first return value is a string.
+    - `def my_func(...) -> (str, int)` indicates that the first return value is a string and the second return value is an integer.
+
+Here's how to set the desired components using return type hints:
+
+| Output is | Type hint | Example   |
+|-----------|-----------|-----------|
+| Text | `str` | `def my_func(...) -> str:` |
+| Number (treated as text) | `int` or `float` | `def my_func(...) -> int:` or `def my_func(...) -> float:` |
+| Image | `PIL.Image.Image` | `def my_func(...) -> PIL.Image.Image:` |
+| Matplotlib figure | `plt.Figure` | `def my_func(...) -> plt.Figure:` |
+| Plotly graph | Built-in component `Graph` | `def my_func(...) -> Graph:` |
+| Pandas Dataframe | `pd.DataFrame` or built-in component `Table`. Using `Table` lets you set the pagination page size using `Table(page_size=20)` | `def my_func(...) -> pd.DataFrame:` or `def my_func(...) -> Table:` or `def my_func(...) -> Table(page_size=20):` |
+| Conversation (chat) | Built-in component `Chat`. Output must be formatted as a dictionary in the format `{"query": query, "response": response}` | `def my_func(...) -> Chat:` |
+
+## 3. Arranging output components
+
+Fast Dash allows customizing the visual arrangement of your output components. The idea is using “mosaics.” Drawing inspiration from Matplotlib’s [`subplot_mosaic`](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.subplot_mosaic.html) method, Fast Dash lets you craft layouts using an ASCII-esque diagram or a string list.
+
+Each unique letter or string in this mosaic signifies a unique component. This approach is a game-changer, especially when you’re aiming for non-uniform grid layouts.
+
+For example, imagine the output arrangement you want is something like in the following image:
+
+![Example mosaic layout](https://miro.medium.com/v2/0*qEdZ_t6-OYiFozYz.png)
+
+In this case, you can define your mosaic to be “ABB \n CDE”. Fast Dash will set the app for five outputs and divide the space into six equally-sized boxes placed as a 2 x 3 grid. 
+
+The first output gets the top-left box. The second output stretches across the next two boxes in the top row. And each of the remaining three outputs gets its own box in the row below.
+
+Refer to the examples below to understand this idea better.
+
+??? Example "Example 1: Two outputs"
+
+    We have two outputs and we want them to appear one below the other.
+
+    ```py
+    mosaic = """
+    A
+    B
+    """
+
+    @fastdash(mosaic=mosaic)
+    def my_func(arg1: str) -> (str, str):
+        return "A", "B"
+    ```
+
+    Output:
+
+    ![Example 1](https://storage.googleapis.com/fast_dash/0.2.7/Mosaic%20examples/ex1.png)
+
+??? Example "Example 2: Three outputs"
+
+    We have three outputs. The first two should appear next to each other in the first row
+     and the third should appear below them taking up the entire second row.
+
+    ```py
+    mosaic = """
+    AB
+    CC
+    """
+
+    @fastdash(mosaic=mosaic)
+    def my_func(arg1: str) -> (str, str, str):
+        return "A", "B", "C"
+    ```
+
+    Output:
+
+    ![Example 2](https://storage.googleapis.com/fast_dash/0.2.7/Mosaic%20examples/ex2.png)
+
+??? Example "Example 3: Four outputs"
+
+    We have four outputs. The first two should appear one below the other in the first column, 
+    and the remaining two should take up the entire second and third columns respectively.
+
+    ```py
+    mosaic = """
+    ACD
+    BCD
+    """
+
+    @fastdash(mosaic=mosaic)
+    def my_func(arg1: str) -> (str, str, str, str):
+        return "A", "B", "C", "D"
+    ```
+
+    Output:
+
+    ![Example 3](https://storage.googleapis.com/fast_dash/0.2.7/Mosaic%20examples/ex3.png)
+
+??? Example "Example 4: Five outputs"
+
+    This example has five outputs. Here are the requirements:
+
+    - The 1st output must appear first.
+    - The 2nd output must be twice as wide as the first output.
+    - The 3rd, 4th and 5th outputs must be in the second row and have the same width.
+
+    ```py
+    mosaic = """
+    ABB
+    CDE
+    """
+
+    @fastdash(mosaic=mosaic)
+    def my_func(arg1: str) -> (str, str, str, str, str):
+        return "A", "B", "C", "D", "E"
+    ```
+
+    Output: 
+
+    ![Example 4](https://storage.googleapis.com/fast_dash/0.2.7/Mosaic%20examples/ex4.png)
+
+??? Example "Example 5: Eight outputs"
+
+    This is a slightly complicated example with 8 outputs, reminiscent of some BI dashboards.
+    Here's what we want:
+
+    - The first 4 components appear one after the other horizontally (like overview KPIs in a dashboard).
+    - The 5th output appears directly below the first 3 components while the 6th appears directly below the 4th.
+    - The 7th appears directly below 5th and the 8th appears directly below the 6th.
+    - Let's add a complication intentionally: Components 5 through 8 should be twice as tall (vertically) as the first 4 components.
+
+    No problem! it's easy to have this layout with Fast Dash just by writing the appropriate mosaic string, without touching the main Python code.
+
+    ```py
+    # Notice that the second and third component rows have been repeated 
+    # to make them appear twice as high as the first component row
+    mosaic = """
+    ABCD
+    EEEF
+    EEEF
+    GGGH
+    GGGH
+    """
+
+    @fastdash(mosaic=mosaic)
+    def my_func(arg1: str) -> (str, str, str, str, str, str, str, str):
+        return "A", "B", "C", "D", "E", "F", "G", "H"
+    ```
+
+    Output: 
+
+    ![Example 5](https://storage.googleapis.com/fast_dash/0.2.7/Mosaic%20examples/ex5.png)
+
+## 4. Selecting other configurations
+
+Finally, customize your app by controlling various options like the theme of the app, social media branding links, subheaders, deployment mode and so on.
+
+In the [next section](components.md), we'll see what Fast Components are, what separates them from other Dash components, and how we can easily modify Dash components to make them compatible with Fast Dash.
\ No newline at end of file
diff --git a/docs/contributing.md b/docs/contributing.md
index 01a8f58..e3b022c 100644
--- a/docs/contributing.md
+++ b/docs/contributing.md
@@ -85,7 +85,7 @@ Before you submit a pull request, check that it meets these guidelines:
 2. If the pull request adds functionality, the docs should be updated. Put
    your new functionality into a function with a docstring, and add the
    feature to the list in README.md.
-3. The pull request should work for Python 3.6, 3.7, 3.8, 3.9 and for PyPy. Check
+3. The pull request should work for Python 3.8, 3.9, 3.10, 3.11 and for PyPy. Check
    https://github.com/dkedar7/fast_dash/actions
    and make sure that the tests pass for all supported Python versions.
 
diff --git a/docs/history.md b/docs/history.md
index 8180a2a..be26e9c 100644
--- a/docs/history.md
+++ b/docs/history.md
@@ -1,5 +1,16 @@
 # History
 
+## 0.2.7 (2023-10-18)
+
+### Features
+
+- New component: `Table`
+- - Fast components are callable to update attributes. For example, to update the `page_size` attribute of `Table`, do `Table(page_size=20)`. At the same time, Fast Components can also be used as non-callable objects.
+- Pandas DataFrame is rendered as a `Table`.
+- "About" button displays the function docstring in parse markdown. New utility function to extract function docstring has been incorporated for this feature. This is, however, still experimental.
+- Documentation upates, new "Usage Patterns" page.
+- New tests.
+
 ## 0.2.6 (2023-09-04)
 
 ### Features
diff --git a/docs/quickstart.md b/docs/quickstart.md
index 7cbf9c6..f1d540a 100644
--- a/docs/quickstart.md
+++ b/docs/quickstart.md
@@ -2,7 +2,7 @@
 
 ## Install Fast Dash
 
-Let's start by installing Fast Dash. Do that by running:
+Let's start by installing Fast Dash:
 ```
 pip install fast-dash
 ```
@@ -22,28 +22,52 @@ def text_to_text_function(input_text):
 This should spin up your first Fast Dash app!
 
 <figure markdown>
-  ![Simple example](https://storage.googleapis.com/fast_dash/0.1.7/simple_example.gif)
+  ![Simple example](https://storage.googleapis.com/fast_dash/0.2.7/Simple%20text%20to%20text.png)
   <figcaption>Simple example app</figcaption>
 </figure>
 
+## Chatbot example
+
+Fast Dash also offers many in-built components to make development easier. 
+These can be used as data type hints.
+Here's a dummy chatbot example.
+
+```py linenums="1"
+from fast_dash import fastdash, Chat
+
+@fastdash(theme="sketchy")
+def virtual_assistant(query: str) -> Chat:
+    response = "I am Groot."
+    chat = dict(query=query, response=response)
+    return chat
+```
+
+<figure markdown>
+  ![Simple example](https://storage.googleapis.com/fast_dash/0.2.7/Simple%20chatbot%20example.png)
+  <figcaption>Simple chatbot app</figcaption>
+</figure>
+
 
 ## Image to image example
 
 Fast Dash makes it very easy to work with different types of data types and components. 
-For example, here's the code needed to build an app that receives an uploaded image and returns the same image.
+For example, here's how to build an app that receives an uploaded image and returns the same image.
+We can, of course, write any image analysis transformation we want.
 
 ```py linenums="1"
-from fast_dash import fastdash, UploadImage, Image
+from fast_dash import fastdash
+from PIL import Image
 
 @fastdash
-def image_to_image(image: UploadImage) -> Image:
+def image_to_image(image: Image.Image) -> Image.Image:
+    "Example of an image to image app with Fast Dash"
     return image
 ```
 
 This is how the deployed app looks:
 
 <figure markdown>
-  ![Simple example](https://storage.googleapis.com/fast_dash/0.1.7/simple_image_to_image.gif)
+  ![Simple example](https://storage.googleapis.com/fast_dash/0.2.7/image_to_image_example.png)
   <figcaption>Simple image to image example app</figcaption>
 </figure>
 
@@ -59,10 +83,8 @@ There are many customizations that you can make with your app. These include:
 * Minimal view
 * JupyterLab inline and embedded views
 
-By tweaking these configurations, you can easily build web applications for a variety of use cases! Here're a selected few:
+By tweaking these configurations, you can easily build web applications for a variety of use cases!
 
-<figure markdown>
-  ![Fast Dash gallery](https://storage.googleapis.com/fast_dash/0.1.7/gallery_4_apps.gif)
-  <figcaption>Fast Dash example gallery</figcaption>
-</figure>
+## Examples
 
+See the [examples](/Examples/01_simple_text_to_text) page for more executable examples.
diff --git a/fast_dash/Components.py b/fast_dash/Components.py
index 5f87ced..d6e625e 100644
--- a/fast_dash/Components.py
+++ b/fast_dash/Components.py
@@ -8,17 +8,26 @@
 from functools import reduce
 
 import dash
+from dash import Input, Output, State, dcc, html, ctx, Patch
+from dash.exceptions import PreventUpdate
+
 import dash_bootstrap_components as dbc
 import dash_mantine_components as dmc
+from dash_iconify import DashIconify
+
 import matplotlib as mpl
 import numpy as np
+import pandas as pd
 import PIL
-import plotly.graph_objs as go
-from dash import Input, Output, State, dcc, html, Patch
-from dash_iconify import DashIconify
 from PIL import ImageFile
+import plotly.graph_objs as go
 
-from .utils import Fastify, Chatify, _pil_to_b64, _get_default_property
+from .utils import (
+    Fastify,
+    _pil_to_b64,
+    _get_default_property,
+    _parse_docstring_as_markdown,
+)
 
 
 class BaseLayout:
@@ -35,6 +44,7 @@ def __init__(
         twitter_url=None,
         navbar=True,
         footer=True,
+        about=True,
         minimal=False,
         scale_height=1,
         app=None,
@@ -50,6 +60,7 @@ def __init__(
         self.twitter_url = twitter_url
         self.navbar = navbar
         self.footer = footer
+        self.about = about
         self.minimal = minimal
         self.scale_height = scale_height
         self.app = app
@@ -58,52 +69,57 @@ def generate_navbar_container(self):
         if not self.navbar:
             return None
 
-        # 1. Navbar
-        social_media_navigation = []
+        navbar_components = []
+
+        # 1. Add navbar components
+        if self.about:
+            navbar_components.append(
+                dbc.Row(dbc.Button("About", color="primary", id="about-navlink"))
+            )
+
+            # Add modal component
+            navbar_components.append(
+                dmc.Modal(id="about-modal", size="80%", zIndex=10000)
+            )
+
         if self.github_url:
-            social_media_navigation.append(
-                dbc.NavItem(
-                    dbc.NavLink(
-                        html.I(
-                            className="fa-2x fab fa-github", style={"color": "#ffffff"}
-                        ),
-                        href=self.github_url,
-                        target="_blank",
-                    )
+            navbar_components.append(
+                dmc.NavLink(
+                    label=DashIconify(icon="ri:github-fill", color="#ffffff", width=30),
+                    href=self.github_url,
+                    target="_blank",
+                    variant="light",
                 )
             )
 
         if self.linkedin_url:
-            social_media_navigation.append(
-                dbc.NavItem(
-                    dbc.NavLink(
-                        html.I(
-                            className="fa-2x fab fa-linkedin",
-                            style={"color": "#ffffff"},
-                        ),
-                        href=self.linkedin_url,
-                        target="_blank",
-                    )
+            navbar_components.append(
+                dmc.NavLink(
+                    label=DashIconify(
+                        icon="entypo-social:linkedin-with-circle",
+                        color="#ffffff",
+                        width=30,
+                    ),
+                    href=self.linkedin_url,
+                    target="_blank",
+                    variant="light",
                 )
             )
 
         if self.twitter_url:
-            social_media_navigation.append(
-                dbc.NavItem(
-                    dbc.NavLink(
-                        html.I(
-                            className="fa-2x fab fa-twitter-square",
-                            style={"color": "#ffffff"},
-                        ),
-                        href=self.twitter_url,
-                        target="_blank",
-                    )
+            navbar_components.append(
+                dmc.NavLink(
+                    label=DashIconify(
+                        icon="formkit:twitter", color="#ffffff", width=30
+                    ),
+                    href=self.twitter_url,
+                    target="_blank",
+                    variant="light",
                 )
             )
 
         navbar = dbc.NavbarSimple(
-            children=[dbc.NavItem(dbc.NavLink("About", href="#"))]
-            + social_media_navigation,
+            children=[] + navbar_components,
             brand=[
                 dmc.Group(
                     [
@@ -264,9 +280,20 @@ def generate_layout(self):
 
         return layout
 
-    def callbacks(self, app=None):
+    def callbacks(self, app):
         "Optional callbacks specific to the layout"
-        return
+
+        @app.app.callback(
+            Output("about-modal", "opened"),
+            Output("about-modal", "children"),
+            Input("about-navlink", "n_clicks"),
+            State("about-modal", "opened"),
+        )
+        def display_function_about_information(n_clicks, opened):
+            if n_clicks:
+                return not opened, app.callback_fn.__doc__
+
+            raise PreventUpdate
 
 
 class SidebarLayout(BaseLayout):
@@ -642,7 +669,7 @@ def generate_layout(self):
         return layout
 
     def callbacks(self, app):
-        @app.callback(
+        @app.app.callback(
             [Output("input-group", "style")],
             [Input("sidebar-button", "opened")],
             [State("input-group", "style")],
@@ -661,6 +688,32 @@ def toggle_sidebar(opened, input_style):
 
             return (input_style,)
 
+        # Optional callbacks specific to the layout
+        @app.app.callback(
+            Output("about-modal", "opened"),
+            Output("about-modal", "children"),
+            Input("about-navlink", "n_clicks"),
+            State("about-modal", "opened"),
+        )
+        def display_function_about_information(n_clicks, opened):
+            if n_clicks:
+                if self.about == True:
+                    about_text = _parse_docstring_as_markdown(
+                        app.callback_fn, title=self.title
+                    )
+
+                elif isinstance(self.about, str):
+                    about_text = self.about
+
+                else:
+                    about_text = _parse_docstring_as_markdown(
+                        app.callback_fn, title=self.title
+                    )
+
+                return not opened, dcc.Markdown(about_text)
+
+            raise PreventUpdate
+
 
 def _get_readable_names_from_parent_classes(type_hint):
     "Get a readable label for the object's type. Order is important. If disturbed, type = bool could get matched with float."
@@ -731,7 +784,15 @@ def _get_component_from_input(hint, default_value=None):
 
     if _hint_type == "Text":
         if _default_value_type == "Text":
-            component = Fastify(dbc.Input(value=default_value), "value", tag=_hint_type)
+            component = Fastify(
+                dmc.Textarea(
+                    value=default_value,
+                    autosize=True,
+                    minRows=4,
+                ),
+                "value",
+                tag=_hint_type,
+            )
 
         elif _default_value_type == "Numeric":
             component = Fastify(
@@ -815,28 +876,45 @@ def _get_component_from_input(hint, default_value=None):
     elif _hint_type == "Sequence":
         if _default_value_type == "Text":
             component = Fastify(
-                dbc.Input(value=[value.strip() for value in default_value.split(",")]),
+                dmc.MultiSelect(
+                    data=[default_value],
+                    value=[default_value],
+                    searchable=True,
+                    creatable=True,
+                ),
                 "value",
                 tag=_default_value_type,
             )
 
         elif _default_value_type == "Sequence":
             component = Fastify(
-                dcc.Dropdown(default_value, multi=True),
+                dmc.MultiSelect(
+                    data=default_value,
+                    searchable=True,
+                ),
                 "value",
                 tag=_default_value_type,
             )
 
         elif _default_value_type == "Dictionary":
             component = Fastify(
-                dcc.Dropdown(default_value, multi=True),
+                dmc.MultiSelect(
+                    data=default_value,
+                    searchable=True,
+                ),
                 "value",
                 tag=_default_value_type,
             )
 
         else:
-            warnings.warn("Unknown or unsupported default value type. Assuming text.")
-            component = Text
+            component = Fastify(
+                dmc.MultiSelect(
+                    searchable=True,
+                    creatable=True,
+                ),
+                "value",
+                tag=_default_value_type,
+            )
 
     elif _hint_type == "Dictionary":
         component = Fastify(
@@ -1051,6 +1129,9 @@ def _get_output_components(_hint_type):
     if issubclass(_hint_type, PIL.Image.Image):
         component = Image
 
+    elif issubclass(_hint_type, pd.DataFrame):
+        component = Table
+
     elif _hint_type == mpl.figure.Figure:
         component = Image
 
@@ -1115,7 +1196,16 @@ def _infer_output_components(func, outputs, output_labels):
 ###################################
 
 ##### General components
-Text = Fastify(component=dbc.Input(), component_property="value", tag="Text")
+Text = Fastify(
+    component=dmc.Textarea(
+        placeholder="",
+        autosize=True,
+        minRows=4,
+    ),
+    component_property="value",
+    placeholder="",
+    tag="Text"
+)
 
 TextArea = Fastify(component=dbc.Textarea(), component_property="value", tag="Text")
 
@@ -1208,3 +1298,32 @@ def _infer_output_components(func, outputs, output_labels):
     "children",
     tag="Chat",
 )
+
+Table = Fastify(
+    dash.dash_table.DataTable(
+        page_size=100,
+        page_action="native",
+        sort_action="native",
+        style_header={
+            "backgroundColor": "white",
+            "fontWeight": "bold",
+            "color": "black",
+            "textAlign": "center",
+            "border": "1px solid #f0f0f0",
+            "fontFamily": '"News Cycle","Arial Narrow Bold",sans-serif',
+        },
+        style_cell={
+            "backgroundColor": "white",
+            "color": "black",
+            "textAlign": "center",
+            "border": "1px solid #f0f0f0",
+            "fontFamily": '"News Cycle","Arial Narrow Bold",sans-serif',
+        },
+        style_table={
+            "border": "1px solid #f0f0f0",
+            "overflowY": "auto",
+            "fontFamily": '"News Cycle","Arial Narrow Bold",sans-serif',
+        },
+    ),
+    "data",
+)
diff --git a/fast_dash/__init__.py b/fast_dash/__init__.py
index b61d289..0fc65c4 100644
--- a/fast_dash/__init__.py
+++ b/fast_dash/__init__.py
@@ -2,7 +2,7 @@
 
 __author__ = """Kedar Dabhadkar"""
 __email__ = "kedar@fastdash.app"
-__version__ = "0.2.6"
+__version__ = "0.2.7"
 
 from fast_dash.Components import (
     Graph,
@@ -18,7 +18,8 @@
     dmc,
     html,
     PIL,
-    Chat
+    Chat,
+    Table
 )
 import dash
 from fast_dash.fast_dash import FastDash, fastdash
@@ -42,5 +43,6 @@
     "html",
     "dash",
     "PIL",
-    "Chat"
+    "Chat",
+    "Table"
 ]
diff --git a/fast_dash/assets/markdown.css b/fast_dash/assets/markdown.css
new file mode 100644
index 0000000..89e4fd0
--- /dev/null
+++ b/fast_dash/assets/markdown.css
@@ -0,0 +1,20 @@
+table {
+    border-collapse: collapse;
+}
+
+th:not(.CalendarDay),
+td:not(.CalendarDay) {
+    padding: 12px 15px;
+    text-align: left;
+    border-bottom: 1px solid #E1E1E1;
+}
+
+th:first-child:not(.CalendarDay),
+td:first-child:not(.CalendarDay) {
+    padding-left: 0;
+}
+
+th:last-child:not(.CalendarDay),
+td:last-child:not(.CalendarDay) {
+    padding-right: 0;
+}
\ No newline at end of file
diff --git a/fast_dash/fast_dash.py b/fast_dash/fast_dash.py
index 9e76bbe..ca15956 100644
--- a/fast_dash/fast_dash.py
+++ b/fast_dash/fast_dash.py
@@ -15,6 +15,7 @@
     _infer_input_components,
     _infer_output_components,
 )
+
 from .utils import (
     _assign_ids_to_inputs,
     _assign_ids_to_outputs,
@@ -24,7 +25,8 @@
     _transform_outputs,
     theme_mapper,
     _infer_variable_names,
-    _get_error_notification_component,
+    _parse_docstring_as_markdown,
+    _get_error_notification_component
 )
 
 
@@ -53,6 +55,7 @@ def __init__(
         twitter_url=None,
         navbar=True,
         footer=True,
+        about=True,
         theme=None,
         update_live=False,
         port=8080,
@@ -65,58 +68,61 @@ def __init__(
     ):
         """
         Args:
-            callback_fn (func): Python function that Fast Dash deploys.
+            callback_fn (func): Python function that Fast Dash deploys. \
                 This function guides the behavior of and interaction between input and output components.
 
-            layout (str, optional): App layout style. Currently supports 'base' and 'sidebar' (default).
+            layout (str, optional): App layout style. Currently supports 'base' and 'sidebar'. Defaults to sidebar.
 
             mosaic (str): Mosaic array layout, if sidebar layout is selected.
 
-            inputs (Fast component, list of Fast components, optional): Components to represent inputs of the callback function.
-                Defaults to None. If `None`, Fast Dash attempts to infer the best components from callback function's type
+            inputs (Fast component, list of Fast components, optional): Components to represent inputs of the callback function.\
+                Defaults to None. If `None`, Fast Dash attempts to infer the best components from callback function's type \
                 hints and default values. In the absence of type hints, default components are all `Text`.
 
-            outputs (Fast component, list of Fast components, optional): Components to represent outputs of the callback function.
-                Defaults to None. If `None`, Fast Dash attempts to infer the best components from callback function's type hints.
+            outputs (Fast component, list of Fast components, optional): Components to represent outputs of the callback function.\
+                Defaults to None. If `None`, Fast Dash attempts to infer the best components from callback function's type hints.\
                 In the absence of type hints, default components are all `Text`.
 
-            output_labels(list of string labels or "infer" or None, optional): Labels given to the output components. If None, inputs are
-                set labeled integers starting at 1 (Output 1, Output 2, and so on). If "infer", labels are inferred from the function
-                signature.
+            output_labels(list of string labels or "infer" or None, optional): Labels given to the output components. If None, inputs are\
+                set labeled integers starting at 1 (Output 1, Output 2, and so on). If "infer", labels are inferred from the function\
+                signature. Defaults to infer.
 
-            title (str, optional): Title given to the app. Defaults to None. If `None`, function name (assumed to be in snake case)
-                is converted to title case.
+            title (str, optional): Title given to the app. If `None`, function name (assumed to be in snake case)\
+                is converted to title case. Defaults to None.
 
             title_image_path (str, optional): Path (local or URL) of the app title image. Defaults to None.
 
-            subheader (str, optional): Subheader of the app, displayed below the title image and title. Defaults to None.
-                If `None`, Fast Dash tries to use the callback function's docstring instead.
+            subheader (str, optional): Subheader of the app, displayed below the title image and title\
+                If `None`, Fast Dash tries to use the callback function's docstring instead. Defaults to None.
+                
 
-            github_url (str, optional): GitHub URL for branding. Displays a GitHub logo in the navbar, which takes users to the
+            github_url (str, optional): GitHub URL for branding. Displays a GitHub logo in the navbar, which takes users to the\
                 specified URL. Defaults to None.
 
-            linkedin_url (str, optional): LinkedIn URL for branding Displays a LinkedIn logo in the navbar, which takes users to the
+            linkedin_url (str, optional): LinkedIn URL for branding Displays a LinkedIn logo in the navbar, which takes users to the\
                 specified URL. Defaults to None.
 
-            twitter_url (str, optional): Twitter URL for branding. Displays a Twitter logo in the navbar, which takes users to the
+            twitter_url (str, optional): Twitter URL for branding. Displays a Twitter logo in the navbar, which takes users to the\
                 specified URL. Defaults to None.
 
             navbar (bool, optional): Display navbar. Defaults to True.
 
             footer (bool, optional): Display footer. Defaults to True.
 
-            theme (str, optional): Apply theme to the app. Defaults to "JOURNAL". All available themes can be found
-                at https://bootswatch.com/.
+            about (Union[str, bool], optional): App description to display on clicking the `About` button. If True, content is inferred from\
+                the docstring of the callback function. If string, content is used directly as markdown. \
+                `About` is hidden if False or None. Defaults to True.
+
+            theme (str, optional): Apply theme to the app.All available themes can be found at https://bootswatch.com/. Defaults to JOURNAL. 
 
             update_live (bool, optional): Enable hot reloading. If the number of inputs is 0, this is set to True automatically. Defaults to False.
 
-            port (int, optional): Port to which the app should be deployed. Defauts to 8080.
+            port (int, optional): Port to which the app should be deployed. Defaults to 8080.
 
-            mode (str, optional): Mode in which to launch the app. Acceptable options are `None`, `jupyterlab`, `inline`, 'external`.
+            mode (str, optional): Mode in which to launch the app. Acceptable options are `None`, `jupyterlab`, `inline`, 'external`.\
                 Defaults to None.
 
-            minimal (bool, optional): Display minimal version by hiding navbar, title, title image, subheader and footer.
-                Defaults to False.
+            minimal (bool, optional): Display minimal version by hiding navbar, title, title image, subheader and footer. Defaults to False.
 
             disable_logs (bool, optional): Hide app logs. Sets logger level to `ERROR`. Defaults to False.
 
@@ -169,12 +175,17 @@ def __init__(
 
         self.title = title
         self.title_image_path = title_image_path
-        self.subtitle = subheader if subheader is not None else callback_fn.__doc__
+        self.subtitle = (
+            subheader
+            if subheader is not None
+            else _parse_docstring_as_markdown(callback_fn, title=self.title, get_short=True)
+        )
         self.github_url = github_url
         self.linkedin_url = linkedin_url
         self.twitter_url = twitter_url
         self.navbar = navbar
         self.footer = footer
+        self.about = about
         self.theme = theme or "JOURNAL"
         self.minimal = minimal
 
@@ -207,16 +218,16 @@ def __init__(
         ]
 
         source = dash.Dash
-        if self.mode is not None:
-            try:
-                from jupyter_dash import JupyterDash
+        # if self.mode is not None:
+        #     try:
+        #         from jupyter_dash import JupyterDash
 
-                source = JupyterDash
+        #         source = JupyterDash
 
-            except ImportError as e:
-                self.mode = None
-                warnings.warn(str(e))
-                warnings.warn("Ignoring mode argument")
+        #     except ImportError as e:
+        #         self.mode = None
+        #         warnings.warn(str(e))
+        #         warnings.warn("Ignoring mode argument")
 
         self.app = source(
             __name__,
@@ -242,17 +253,17 @@ def __init__(
         self.server = self.app.server
 
     def run(self):
-        self.server.run(
+        self.app.run(
             **self.run_kwargs
         ) if self.mode is None else self.app.run_server(
-            mode=self.mode, **self.run_kwargs
+            jupyter_mode=self.mode, **self.run_kwargs
         )
 
     def run_server(self):
         self.app.run_server(
             **self.run_kwargs
         ) if self.mode is None else self.app.run_server(
-            mode=self.mode, **self.run_kwargs
+            jupyter_mode=self.mode, **self.run_kwargs
         )
 
     def set_layout(self):
@@ -274,6 +285,7 @@ def set_layout(self):
             "twitter_url": self.twitter_url,
             "navbar": self.navbar,
             "footer": self.footer,
+            "about": self.about,
             "minimal": self.minimal,
             "scale_height": self.scale_height,
             "app": self,
@@ -382,7 +394,7 @@ def process_ack_outputs(*args):
 
         # Set layout callbacks
         if not self.minimal:
-            self.layout_object.callbacks(self.app)
+            self.layout_object.callbacks(self)
 
 
 def fastdash(
@@ -401,6 +413,7 @@ def fastdash(
     twitter_url=None,
     navbar=True,
     footer=True,
+    about=True,
     theme=None,
     update_live=False,
     port=8080,
@@ -412,66 +425,71 @@ def fastdash(
     **kwargs
 ):
     """
+    Function decorator / wrapper for Fast Dash.
+
     Args:
-        callback_fn (func): Python function that Fast Dash deploys.
+        callback_fn (func): Python function that Fast Dash deploys. \
             This function guides the behavior of and interaction between input and output components.
 
-        layout (str, optional): App layout style. Currently supports 'base' and 'sidebar' (default).
+        layout (str, optional): App layout style. Currently supports 'base' and 'sidebar'. Defaults to sidebar.
 
         mosaic (str): Mosaic array layout, if sidebar layout is selected.
 
-        inputs (Fast component, list of Fast components, optional): Components to represent inputs of the callback function.
-            Defaults to None. If `None`, Fast Dash attempts to infer the best components from callback function's type
+        inputs (Fast component, list of Fast components, optional): Components to represent inputs of the callback function.\
+            Defaults to None. If `None`, Fast Dash attempts to infer the best components from callback function's type \
             hints and default values. In the absence of type hints, default components are all `Text`.
 
-        outputs (Fast component, list of Fast components, optional): Components to represent outputs of the callback function.
-            Defaults to None. If `None`, Fast Dash attempts to infer the best components from callback function's type hints.
+        outputs (Fast component, list of Fast components, optional): Components to represent outputs of the callback function.\
+            Defaults to None. If `None`, Fast Dash attempts to infer the best components from callback function's type hints.\
             In the absence of type hints, default components are all `Text`.
 
-        output_labels(list of string labels or "infer" or None, optional): Labels given to the output components. If None, inputs are
-            set labeled integers starting at 1 (Output 1, Output 2, and so on). If "infer", labels are inferred from the function
-            signature.
+        output_labels(list of string labels or "infer" or None, optional): Labels given to the output components. If None, inputs are\
+            set labeled integers starting at 1 (Output 1, Output 2, and so on). If "infer", labels are inferred from the function\
+            signature. Defaults to infer.
 
-        title (str, optional): Title given to the app. Defaults to None. If `None`, function name (assumed to be in snake case)
-            is converted to title case.
+        title (str, optional): Title given to the app. If `None`, function name (assumed to be in snake case)\
+            is converted to title case. Defaults to None.
 
         title_image_path (str, optional): Path (local or URL) of the app title image. Defaults to None.
 
-        subheader (str, optional): Subheader of the app, displayed below the title image and title. Defaults to None.
-            If `None`, Fast Dash tries to use the callback function's docstring instead.
+        subheader (str, optional): Subheader of the app, displayed below the title image and title\
+            If `None`, Fast Dash tries to use the callback function's docstring instead. Defaults to None.
+            
 
-        github_url (str, optional): GitHub URL for branding. Displays a GitHub logo in the navbar, which takes users to the
+        github_url (str, optional): GitHub URL for branding. Displays a GitHub logo in the navbar, which takes users to the\
             specified URL. Defaults to None.
 
-        linkedin_url (str, optional): LinkedIn URL for branding Displays a LinkedIn logo in the navbar, which takes users to the
+        linkedin_url (str, optional): LinkedIn URL for branding Displays a LinkedIn logo in the navbar, which takes users to the\
             specified URL. Defaults to None.
 
-        twitter_url (str, optional): Twitter URL for branding. Displays a Twitter logo in the navbar, which takes users to the
+        twitter_url (str, optional): Twitter URL for branding. Displays a Twitter logo in the navbar, which takes users to the\
             specified URL. Defaults to None.
 
         navbar (bool, optional): Display navbar. Defaults to True.
 
         footer (bool, optional): Display footer. Defaults to True.
 
-        theme (str, optional): Apply theme to the app. Defaults to "JOURNAL". All available themes can be found
-            at https://bootswatch.com/.
+        about (Union[str, bool], optional): App description to display on clicking the `About` button. If True, content is inferred from\
+            the docstring of the callback function. If string, content is used directly as markdown. \
+            `About` is hidden if False or None. Defaults to True.
+
+        theme (str, optional): Apply theme to the app.All available themes can be found at https://bootswatch.com/. Defaults to JOURNAL. 
 
-        update_live (bool, optional): Enable hot reloading. Defaults to False.
+        update_live (bool, optional): Enable hot reloading. If the number of inputs is 0, this is set to True automatically. Defaults to False.
 
-        port (int, optional): Port to which the app should be deployed. Defauts to 8080.
+        port (int, optional): Port to which the app should be deployed. Defaults to 8080.
 
-        mode (str, optional): Mode in which to launch the app. Acceptable options are `None`, `jupyterlab`, `inline`, 'external`.
+        mode (str, optional): Mode in which to launch the app. Acceptable options are `None`, `jupyterlab`, `inline`, 'external`.\
             Defaults to None.
 
-        minimal (bool, optional): Display minimal version by hiding navbar, title, title image, subheader and footer.
-            Defaults to False.
+        minimal (bool, optional): Display minimal version by hiding navbar, title, title image, subheader and footer. Defaults to False.
 
         disable_logs (bool, optional): Hide app logs. Sets logger level to `ERROR`. Defaults to False.
 
         scale_height (float, optional): Height of the app container is enlarged as a multiple of this. Defaults to 1.
 
         run_kwargs (dict, optional): All values from this variable are passed to Dash's `.run` method.
-    """
+        """
 
     def decorator_fastdash(callback_fn):
         "Decorator for callback_fn"
@@ -496,6 +514,7 @@ def wrapper_fastdash(**kwargs):
             twitter_url=twitter_url,
             navbar=navbar,
             footer=footer,
+            about=about,
             theme=theme,
             update_live=update_live,
             mode=mode,
diff --git a/fast_dash/utils.py b/fast_dash/utils.py
index 778e23d..33e5b4b 100644
--- a/fast_dash/utils.py
+++ b/fast_dash/utils.py
@@ -11,44 +11,66 @@
 import dash_mantine_components as dmc
 from dash_iconify import DashIconify
 
+import docstring_parser
+import logging
 import matplotlib as mpl
 import matplotlib.pyplot as plt
 import PIL
+import pandas as pd
 import warnings
 import re
 
 
-def Fastify(
-    component, component_property, ack=None, placeholder=None, label_=None, tag=None
-):
+def Fastify(component, component_property, ack=None, placeholder=None, label_=None,tag=None, *args, **kwargs):
     """
-    Modify a Dash component to a FastComponent.
+    Modify a Dash component into a FastComponent.
 
     Args:
         component (Dash component): Dash component that needs to be modified
         component_property (str): Component property that's assigned the input or output values
         ack (Dash component, optional): Dash component that's displayed as an acknowledgement of the original component
-        placeholder (type, optional): Placeholder value of the component.
-        label_ (type, optional): Component title.
+        placeholder (str, optional): Placeholder value of the component.
+        label_ (str, optional): Component title.
+        tag (str, optional): Optional tag applied to the component.
 
     Returns:
         Fast component: Dash component modified to make it compatible with Fast Dash.
     """
-
-    component.component_property = component_property
-    component.ack = ack
-    component.label_ = label_
-    component.placeholder = placeholder
-    component.tag = tag
-
-    return component
+    
+    class FastComponent(type(component)):
+        def __init__(self, component, component_property, ack=ack, placeholder=placeholder, label_=label_, tag=tag, *args, **kwargs):
+            
+            self.component_property = component_property
+            self.ack = ack
+            self.label_ = label_
+            self.placeholder = placeholder
+            self.tag = tag
+            
+            # Copy normal attributes
+            for attr_name, attr_value in vars(component).items():
+                setattr(self, attr_name, attr_value)
+
+            # Copy the __doc__ attribute
+            self.__doc__ = component.__doc__
+            
+            for key, value in kwargs.items():
+                setattr(self, key, value)
+                
+        def __call__(self, **kwargs):            
+            self_copy = copy.deepcopy(self)
+            for key, value in kwargs.items():
+                setattr(self_copy, key, value)
+                
+            return self_copy
+        
+    return FastComponent(component, component_property, ack=ack, placeholder=placeholder, label_=label_, tag=tag)
 
 
 def Chatify(query_response_dict):
     "Convert a dictionary into a Chat component"
 
     if not isinstance(query_response_dict, dict):
-        raise TypeError("Chat component required a dictionary output.")
+        raise TypeError("Chat component requires a dictionary output ('query': ..., 'response': ...).")
 
     ## Chat component
     input_component = dbc.Row(
@@ -140,6 +162,7 @@ def theme_mapper(theme_name):
     return theme
 
 
+# Data type conversion utilities
 def _pil_to_b64(img):
     """
     Utility to convert PIL image to a base64 string.
@@ -203,6 +226,7 @@ def _get_input_names_from_callback_fn(callback_fn):
     return parameter_list
 
 
+# Fast Dash app utilities
 def _assign_ids_to_inputs(inputs, callback_fn):
     """
     Modify the 'id' property of inputs.
@@ -330,7 +354,9 @@ def _get_transform_function(output, tag):
         return Chatify
 
     subclass = type(output)
-    _transform_mapper = {plt.Figure: _mpl_to_b64, PIL.Image.Image: _pil_to_b64}
+    _transform_mapper = {plt.Figure: _mpl_to_b64, 
+                         PIL.Image.Image: _pil_to_b64,
+                         pd.DataFrame: lambda x: x.to_dict(orient="records")}
 
     for class_ in _transform_mapper:
         if issubclass(subclass, class_):
@@ -486,3 +512,70 @@ def _get_default_property(component_type):
         default_property = "value"
 
     return default_property
+
+
+def _parse_docstring_as_markdown(func, title=None, get_short=False):
+    """
+    Generate markdown documentation from the docstring of a function.
+
+    Args:
+        func (function): The function to document.
+        title (str, optional): Title of the text. If None, it is evaluated. Defaults to None.
+        get_short (bool, optional): If True, returns only the short description. Defaults to False.
+
+    Returns:
+        str: Markdown documentation string.
+    """
+    logging.warning("Parsing function docstring is still an experimental feature. To reduce uncertainty, consider setting `about` to `False`.")
+
+    parsed = docstring_parser.parse(func.__doc__)
+
+    if get_short == True:
+        return parsed.short_description
+
+    # Start with the function description
+    md_list = [
+        f"#### {func.__name__.replace('_', ' ').title() if not title else title}",
+        "",
+        parsed.short_description or "",
+        "",
+        parsed.long_description or "",
+        "",
+    ]
+
+    # Add parameters in table format
+    if parsed.params:
+        md_list.extend(
+            [
+                "##### Parameters",
+                "| Name | Type | Mandatory | Default | Description |",
+                "| ---- | ---- | --------- | ------- | ----------- |",
+            ]
+        )
+
+        for param in parsed.params:
+            param_line = (
+                f"| {param.arg_name} "
+                f"| {param.type_name or 'Not specified'} "
+                f"| {'No' if param.is_optional else 'Yes'} "
+                f"| {param.default or 'None'} "
+                f"| {param.description or 'No description provided'} |"
+            )
+            md_list.append(param_line)
+
+    md_list.extend(["# ", "# "])
+
+    # Add return values in table format
+    if parsed.returns:
+        md_list.extend(
+            ["", "##### Returns", "| Type | Description |", "| ---- | ----------- |"]
+        )
+
+        return_line = (
+            f"| {parsed.returns.type_name or 'Not specified'} "
+            f"| {parsed.returns.description or 'No description provided'} |"
+        )
+        md_list.append(return_line)
+
+    # Join all and return markdown string
+    return "\n".join(md_list)
diff --git a/mkdocs.yml b/mkdocs.yml
index e10262a..f145b95 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -34,7 +34,8 @@ theme:
 
   features:
     - navigation.tracking
-
+    - navigation.instant
+    
 repo_name: fast_dash
 repo_url: https://github.com/dkedar7/fast_dash
 
@@ -43,10 +44,10 @@ nav:
   - Installation: installation.md
   - Quickstart: quickstart.md
   - User guide:
-    - 10 minutes to Fast Dash: User guide/build.md
-    - Fast Components: User guide/components.md
-    - Common patterns: User guide/patterns.md
-    - Deployment: User guide/deployment.md
+    - 1. 10 minutes to Fast Dash: User guide/build.md
+    - 2. Usage patterns: User guide/patterns.md
+    - 3. Fast Components: User guide/components.md
+    - 4. Deployment: User guide/deployment.md
   - Examples:
     - 1. Simple text to text: Examples/01_simple_text_to_text.ipynb
     - 2. Translate to multiple languages: Examples/02_translate_to_multiple_languages.ipynb
diff --git a/poetry.lock b/poetry.lock
deleted file mode 100644
index 41be2ad..0000000
--- a/poetry.lock
+++ /dev/null
@@ -1,3495 +0,0 @@
-# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
-
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-]
-
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-importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
-
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-docs = ["Sphinx", "setuptools-scm", "sphinx-rtd-theme"]
-test = ["pytest", "pytest-cov"]
-
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-
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-
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-    {file = "watchdog-3.0.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:8ae9cda41fa114e28faf86cb137d751a17ffd0316d1c34ccf2235e8a84365c7f"},
-    {file = "watchdog-3.0.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:25f70b4aa53bd743729c7475d7ec41093a580528b100e9a8c5b5efe8899592fc"},
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-    {file = "watchdog-3.0.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:d429c2430c93b7903914e4db9a966c7f2b068dd2ebdd2fa9b9ce094c7d459f33"},
-    {file = "watchdog-3.0.0-py3-none-win32.whl", hash = "sha256:3ed7c71a9dccfe838c2f0b6314ed0d9b22e77d268c67e015450a29036a81f60f"},
-    {file = "watchdog-3.0.0-py3-none-win_amd64.whl", hash = "sha256:4c9956d27be0bb08fc5f30d9d0179a855436e655f046d288e2bcc11adfae893c"},
-    {file = "watchdog-3.0.0-py3-none-win_ia64.whl", hash = "sha256:5d9f3a10e02d7371cd929b5d8f11e87d4bad890212ed3901f9b4d68767bee759"},
-    {file = "watchdog-3.0.0.tar.gz", hash = "sha256:4d98a320595da7a7c5a18fc48cb633c2e73cda78f93cac2ef42d42bf609a33f9"},
-]
-
-[package.extras]
-watchmedo = ["PyYAML (>=3.10)"]
-
-[[package]]
-name = "wcwidth"
-version = "0.2.6"
-description = "Measures the displayed width of unicode strings in a terminal"
-optional = false
-python-versions = "*"
-files = [
-    {file = "wcwidth-0.2.6-py2.py3-none-any.whl", hash = "sha256:795b138f6875577cd91bba52baf9e445cd5118fd32723b460e30a0af30ea230e"},
-    {file = "wcwidth-0.2.6.tar.gz", hash = "sha256:a5220780a404dbe3353789870978e472cfe477761f06ee55077256e509b156d0"},
-]
-
-[[package]]
-name = "webencodings"
-version = "0.5.1"
-description = "Character encoding aliases for legacy web content"
-optional = false
-python-versions = "*"
-files = [
-    {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"},
-    {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
-]
-
-[[package]]
-name = "werkzeug"
-version = "2.2.3"
-description = "The comprehensive WSGI web application library."
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "Werkzeug-2.2.3-py3-none-any.whl", hash = "sha256:56433961bc1f12533306c624f3be5e744389ac61d722175d543e1751285da612"},
-    {file = "Werkzeug-2.2.3.tar.gz", hash = "sha256:2e1ccc9417d4da358b9de6f174e3ac094391ea1d4fbef2d667865d819dfd0afe"},
-]
-
-[package.dependencies]
-MarkupSafe = ">=2.1.1"
-
-[package.extras]
-watchdog = ["watchdog"]
-
-[[package]]
-name = "wsproto"
-version = "1.2.0"
-description = "WebSockets state-machine based protocol implementation"
-optional = false
-python-versions = ">=3.7.0"
-files = [
-    {file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"},
-    {file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"},
-]
-
-[package.dependencies]
-h11 = ">=0.9.0,<1"
-
-[[package]]
-name = "zipp"
-version = "3.15.0"
-description = "Backport of pathlib-compatible object wrapper for zip files"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "zipp-3.15.0-py3-none-any.whl", hash = "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"},
-    {file = "zipp-3.15.0.tar.gz", hash = "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b"},
-]
-
-[package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
-
-[extras]
-dev = []
-doc = []
-test = ["dash"]
-
-[metadata]
-lock-version = "2.0"
-python-versions = ">=3.7,<4.0"
-content-hash = "ff522d71dcf02d2598f209dd7f80db8d85258ac76696c2d1ce4d95a02baabf4e"
diff --git a/pyproject.toml b/pyproject.toml
index 2f4c47c..31f8bb7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,9 +1,9 @@
 [tool]
 [tool.poetry]
 name = "fast_dash"
-version = "0.2.6"
+version = "0.2.7"
 homepage = "https://github.com/dkedar7/fast_dash"
-description = "Build Machine Learning prototypes web applications lightning fast."
+description = "Turn your Python functions into interactive web applications. Fast Dash is an innovative way to build and deploy your Python code as interactive apps with minimal changes to your original code."
 authors = ["Kedar Dabhadkar <kedar@fastdash.app>"]
 readme = "README.md"
 license =  "MIT"
@@ -13,10 +13,10 @@ classifiers=[
     'License :: OSI Approved :: MIT License',
     'Natural Language :: English',
     'Programming Language :: Python :: 3',
-    'Programming Language :: Python :: 3.7',
     'Programming Language :: Python :: 3.8',
     'Programming Language :: Python :: 3.9',
-    'Programming Language :: Python :: 3.10'
+    'Programming Language :: Python :: 3.10',
+    'Programming Language :: Python :: 3.11'
 ]
 packages = [
     { include = "fast_dash" },
@@ -24,17 +24,19 @@ packages = [
 ]
 
 [tool.poetry.dependencies]
-python = ">=3.7,<4.0"
+python = ">=3.8,<3.12"
 
 Flask = "^2.0.2"
 plotly = "^5.5.0"
 dash-bootstrap-components = "^1.0.2"
 Pillow = "^9.2.0"
-dash = "^2.6.1"
 dash-mantine-components = "^0.12.1"
 numpy = "<=1.25.0"
 dash-iconify = "^0.1.2"
 matplotlib = "<=3.7.1"
+pandas = "<2.1.1"
+docstring-parser = "^0.15"
+dash = ">=2.11.0"
 
 [tool.poetry.extras]
 test = [
@@ -79,13 +81,13 @@ mkdocs-include-markdown-plugin = "^3.6.1"
 mkdocs-material = "9.1.18"
 mkdocstrings = "^0.19.0"
 mkdocs-autorefs = "^0.4.1"
-jupyter-dash = "^0.4.2"
-dash = {extras = ["testing"], version = "^2.6.1"}
 mkdocstrings-python = "^0.7.1"
 mkdocs-jupyter = "^0.24.1"
 
 [tool.poetry.group.test.dependencies]
 urllib3 = "1.26.15"
+dash = {version = ">=2.11.0", extras = ["testing"]}
+selenium = "<=4.2.0"
 
 
 [build-system]
diff --git a/tox.ini b/tox.ini
index b274779..d042ee8 100644
--- a/tox.ini
+++ b/tox.ini
@@ -1,14 +1,13 @@
 [tox]
 isolated_build = true
-envlist = py37, py38, py39, py310, lint, format
+envlist = py38, py39, py310, lint, format
 
 [gh-actions]
 python =
+    3.11: py311
     3.10: py310
     3.9: py39
     3.8: py38
-    3.7: py37
-    3.6: py36
 
 [testenv:lint]
 allowlist_externals =


Test patch:
diff --git a/tests/examples.py b/tests/examples.py
index affc1c2..806191f 100644
--- a/tests/examples.py
+++ b/tests/examples.py
@@ -104,7 +104,7 @@ def image_to_image(image):
         inputs=UploadImage,
         outputs=Image,
         title="Fast Dash example 5",
-        title_image_path="https://raw.githubusercontent.com/dkedar7/fast_dash/docs/docs/assets/favicon.jpg",
+        title_image_path="https://storage.googleapis.com/fast_dash/0.2.7/Mosaic%20examples/ex1.png",
         subheader="Build ML prototypes lightning fast!",
         github_url="https://github.com/dkedar7/fast_dash/",
         linkedin_url="https://linkedin.com/in/dkedar7/",
diff --git a/tests/test_fast_dash.py b/tests/test_fast_dash.py
index 6ef6fea..4aec044 100644
--- a/tests/test_fast_dash.py
+++ b/tests/test_fast_dash.py
@@ -221,3 +221,106 @@ def test_fdfd011_base_layout(dash_duo):
 
     app = FastDash(callback_fn=simple_text_to_multiple_outputs, layout="base")
     assert app.output_labels == ["FIG", "RETURN_SOME_TEXT"]
+    
+def test_fdfd012_about_button_true(dash_duo):
+    "Test the about button auto-documentation generation"
+
+    def example_function(param1, param2=42):
+        """
+        An example function for demonstration.
+        
+        Args:
+            param1 (str): Description for parameter 1.
+            param2 (int, optional): Description for parameter 2. Defaults to 42.
+
+        Returns:
+            bool: Description for return value.
+        """
+        return True
+
+
+    app = FastDash(
+        callback_fn=example_function,
+        inputs=Text,
+        outputs=Text
+    ).app
+
+    dash_duo.start_server(app)
+    dash_duo.wait_for_text_to_equal("#title8888928", "Example Function", timeout=4)
+
+    # Click About
+    dash_duo.multiple_click("#about-navlink", 1)
+    time.sleep(2)
+
+    # Grab the generated markdown text
+    displayed_markdown = dash_duo.find_element("#about-modal-body").text
+
+    assert "Example Function" in displayed_markdown, "Docstring absent in about (1)"
+    assert "Description for parameter 1." in displayed_markdown, "Docstring absent in about (2)"
+
+
+def test_fdfd013_about_button_false(dash_duo):
+    "Test if about button is False"
+
+    def example_function(param1, param2=42):
+        """
+        An example function for demonstration.
+        
+        Args:
+            param1 (str): Description for parameter 1.
+            param2 (int, optional): Description for parameter 2. Defaults to 42.
+
+        Returns:
+            bool: Description for return value.
+        """
+        return True
+    
+    app = FastDash(
+        callback_fn=example_function,
+        inputs=Text,
+        outputs=Text,
+        about=False
+    ).app
+
+    dash_duo.start_server(app)
+    dash_duo.wait_for_text_to_equal("#title8888928", "Example Function", timeout=4)
+
+    # Click About
+    assert not dash_duo.find_elements(f"#about-navlink")
+
+
+def test_fdfd014_about_button_custom(dash_duo):
+    "Test the about button custom documentation"
+
+    def example_function(param1, param2=42):
+        """
+        An example function for demonstration.
+        
+        Args:
+            param1 (str): Description for parameter 1.
+            param2 (int, optional): Description for parameter 2. Defaults to 42.
+
+        Returns:
+            bool: Description for return value.
+        """
+        return True
+    
+    # When about argument is custom text
+    app = FastDash(
+        callback_fn=example_function,
+        inputs=Text,
+        outputs=Text,
+        about="Custom about section"
+    ).app
+
+    dash_duo.start_server(app)
+    dash_duo.wait_for_text_to_equal("#title8888928", "Example Function", timeout=4)
+
+    # Click About
+    dash_duo.multiple_click("#about-navlink", 1)
+    time.sleep(2)
+
+    # Grab the generated markdown text
+    displayed_markdown = dash_duo.find_element("#about-modal-body").text
+
+    assert "Custom about section" in displayed_markdown, "Docstring mismatch in about (3)"
diff --git a/tests/test_fast_dash_autodetect.py b/tests/test_fast_dash_autodetect.py
index c26e144..a424bed 100644
--- a/tests/test_fast_dash_autodetect.py
+++ b/tests/test_fast_dash_autodetect.py
@@ -57,7 +57,7 @@ def simple_text(text: "Fast Dash"):
 
     app = FastDash(callback_fn=simple_text)
     input_component = app.inputs_with_ids[0]
-    assert input_component.__doc__ == dbc.Input().__doc__ and not hasattr(
+    assert input_component.__doc__ == dmc.Textarea().__doc__ and not hasattr(
         input_component, "type"
     ), "Hint is text failed"
 
@@ -92,7 +92,7 @@ def simple_image(image: PIL.ImageFile.ImageFile):
     import requests
     from io import BytesIO
 
-    url = "https://raw.githubusercontent.com/dkedar7/fast_dash/docs/docs/assets/favicon.jpg"
+    url = "https://storage.googleapis.com/fast_dash/0.2.7/Mosaic%20examples/ex1.png"
     response = requests.get(url)
     img = Image.open(BytesIO(response.content))
 
@@ -278,10 +278,10 @@ def simple_list(l_: list = "This, is,a,list, 2.2"):
     app = FastDash(callback_fn=simple_list)
     input_component = app.inputs_with_ids[0]
     assert (
-        input_component.__doc__ == dbc.Input().__doc__
+        input_component.__doc__ == dmc.MultiSelect().__doc__
         and not hasattr(input_component, "type")
         and hasattr(input_component, "value")
-        and input_component.value == ["This", "is", "a", "list", "2.2"]
+        and input_component.value == ["This, is,a,list, 2.2"]
     ), "Default text failed"
 
     # 2. Default is a list (sequence)
@@ -291,10 +291,10 @@ def simple_list(l_: list = ["This", "is", "a", "list", "2.2"]):
     app = FastDash(callback_fn=simple_list)
     input_component = app.inputs_with_ids[0]
     assert (
-        input_component.__doc__ == dcc.Dropdown().__doc__
+        input_component.__doc__ == dmc.MultiSelect().__doc__
         and not hasattr(input_component, "type")
-        and hasattr(input_component, "options")
-        and input_component.options == ["This", "is", "a", "list", "2.2"]
+        and hasattr(input_component, "data")
+        and input_component.data == ["This", "is", "a", "list", "2.2"]
         and hasattr(input_component, "component_property")
         and input_component.component_property == "value"
     ), "Default list failed"
@@ -308,24 +308,22 @@ def simple_list(l_: list = sample_dictionary):
     app = FastDash(callback_fn=simple_list)
     input_component = app.inputs_with_ids[0]
     assert (
-        input_component.__doc__ == dcc.Dropdown().__doc__
+        input_component.__doc__ == dmc.MultiSelect().__doc__
         and not hasattr(input_component, "type")
-        and hasattr(input_component, "options")
-        and input_component.options == sample_dictionary
+        and hasattr(input_component, "data")
+        and input_component.data == sample_dictionary
         and hasattr(input_component, "component_property")
         and input_component.component_property == "value"
     ), "Default dictionary failed"
 
     # 4. No default value
-    sample_dictionary = {"This": "is", "a": "dictionary", 5: "Fast", "Dash": [1, 2, 3]}
-
-    def simple_list(l_: list = sample_dictionary):
+    def simple_list(l_: list):
         return l_
 
     app = FastDash(callback_fn=simple_list)
     input_component = app.inputs_with_ids[0]
     assert (
-        input_component.__doc__ == dcc.Dropdown().__doc__
+        input_component.__doc__ == dmc.MultiSelect().__doc__
         and not hasattr(input_component, "type")
         and hasattr(input_component, "component_property")
         and input_component.component_property == "value"
@@ -393,7 +391,7 @@ def test_fdco009_input_hint_is_image(dash_duo):
     import requests
     from io import BytesIO
 
-    url = "https://raw.githubusercontent.com/dkedar7/fast_dash/docs/docs/assets/favicon.jpg"
+    url = "https://storage.googleapis.com/fast_dash/0.2.7/Mosaic%20examples/ex1.png"
     response = requests.get(url)
     img = Image.open(BytesIO(response.content))
 
@@ -603,7 +601,7 @@ def simple_unsupported(inp_=time.localtime()):
     app = FastDash(callback_fn=simple_unsupported)
     input_component = app.inputs_with_ids[0]
 
-    assert input_component.__doc__ == dbc.Input().__doc__ and not hasattr(
+    assert input_component.__doc__ == dmc.Textarea().__doc__ and not hasattr(
         input_component, "type"
     ), "Default unsupported failed"
 
@@ -614,7 +612,7 @@ def simple_unsupported(inp_=None):
     app = FastDash(callback_fn=simple_unsupported)
     input_component = app.inputs_with_ids[0]
 
-    assert input_component.__doc__ == dbc.Input().__doc__ and not hasattr(
+    assert input_component.__doc__ == dmc.Textarea().__doc__ and not hasattr(
         input_component, "type"
     ), "Default None failed"
 
@@ -662,7 +660,7 @@ def simple_image(img) -> PIL.ImageFile.ImageFile:
     import requests
     from io import BytesIO
 
-    url = "https://raw.githubusercontent.com/dkedar7/fast_dash/docs/docs/assets/favicon.jpg"
+    url = "https://storage.googleapis.com/fast_dash/0.2.7/Mosaic%20examples/ex1.png"
     response = requests.get(url)
     img = Image.open(BytesIO(response.content))
 
@@ -794,4 +792,33 @@ def simple_chat(query: str) -> Chat:
             text_found = True
             break
 
-    assert text_found, "Response text not found in any child element of output-1"
\ No newline at end of file
+    assert text_found, "Response text not found in any child element of output-1"
+
+
+def test_fdco018_output_is_pandas(dash_duo):
+    "When the output hint type is a Chat Fast component"
+
+    import pandas as pd
+    def simple_table(dummy_input: int) -> pd.DataFrame:
+        df = pd.DataFrame(data={"Col1": range(100), 
+                                "Col2": [f"C{i}" for i in range(100)],
+                                "Date": pd.date_range(start="2023-01-01", periods=100)})
+        
+        return df
+
+    app = FastDash(callback_fn=simple_table).app
+
+    dash_duo.start_server(app)
+    dash_duo.wait_for_text_to_equal("#title8888928", "Simple Table", timeout=4)
+
+    # Click submit
+    dash_duo.multiple_click("#submit_inputs", 1)
+    time.sleep(4)
+
+    # Ensure the table is present
+    table = dash_duo.find_element("#output-1")
+    assert table is not None
+    
+    # Validate the data (example: check the first cell)
+    first_cell = table.find_element_by_css_selector(".dash-cell div")
+    assert first_cell.text == "0"  # Adjust according to expected content
\ No newline at end of file