Building Demos
ChatInterface

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To install Gradio from main, run the following command:

pip install https://gradio-builds.s3.amazonaws.com/ac9bf5ec9208b92579f36ee94a247ae3e676c02f/gradio-5.6.0-py3-none-any.whl

*Note: Setting share=True in launch() will not work.

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Interface

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ChatInterface

gradio.ChatInterface(fn, type="messages", ···)

Description

ChatInterface is Gradio's high-level abstraction for creating chatbot UIs, and allows you to create a web-based demo around a chatbot model in a few lines of code. Only one parameter is required: fn, which takes a function that governs the response of the chatbot based on the user input and chat history. Additional parameters can be used to control the appearance and behavior of the demo.

Example Usage

Basic Example: A chatbot that echoes back the users’s message

import gradio as gr

def echo(message, history):
    return message

demo = gr.ChatInterface(fn=echo, type="messages", examples=["hello", "hola", "merhaba"], title="Echo Bot")
demo.launch()

Custom Chatbot: A gr.ChatInterface with a custom gr.Chatbot that includes a placeholder as well as upvote/downvote buttons. The upvote/downvote buttons are automatically added when a .like() event is attached to a gr.Chatbot. In order to attach event listeners to your custom chatbot, wrap the gr.Chatbot as well as the gr.ChatInterface inside of a gr.Blocks like this:

import gradio as gr

def yes(message, history):
    return "yes"

def vote(data: gr.LikeData):
    if data.liked:
        print("You upvoted this response: " + data.value["value"])
    else:
        print("You downvoted this response: " + data.value["value"])

with gr.Blocks() as demo:
    chatbot = gr.Chatbot(placeholder="<strong>Your Personal Yes-Man</strong><br>Ask Me Anything")
    chatbot.like(vote, None, None)
    gr.ChatInterface(fn=yes, type="messages", chatbot=chatbot)
    
demo.launch()

Initialization

fn: Callable

the function to wrap the chat interface around. Should accept two parameters: a string input message and list of two-element lists of the form [[user_message, bot_message], ...] representing the chat history, and return a string response. See the Chatbot documentation for more information on the chat history format.

multimodal: bool

default = False

if True, the chat interface will use a gr.MultimodalTextbox component for the input, which allows for the uploading of multimedia files. If False, the chat interface will use a gr.Textbox component for the input.

type: Literal['messages', 'tuples']

default = "tuples"

The format of the messages passed into the chat history parameter of `fn`. If "messages", passes the value as a list of dictionaries with openai-style "role" and "content" keys. The "content" key's value should be one of the following - (1) strings in valid Markdown (2) a dictionary with a "path" key and value corresponding to the file to display or (3) an instance of a Gradio component. At the moment Image, Plot, Video, Gallery, Audio, and HTML are supported. The "role" key should be one of 'user' or 'assistant'. Any other roles will not be displayed in the output. If this parameter is 'tuples', expects a `list[list[str | None | tuple]]`, i.e. a list of lists. The inner list should have 2 elements: the user message and the response message, but this format is deprecated.

chatbot: Chatbot | None

default = None

an instance of the gr.Chatbot component to use for the chat interface, if you would like to customize the chatbot properties. If not provided, a default gr.Chatbot component will be created.

textbox: Textbox | MultimodalTextbox | None

default = None

an instance of the gr.Textbox or gr.MultimodalTextbox component to use for the chat interface, if you would like to customize the textbox properties. If not provided, a default gr.Textbox or gr.MultimodalTextbox component will be created.

additional_inputs: str | Component | list[str | Component] | None

default = None

an instance or list of instances of gradio components (or their string shortcuts) to use as additional inputs to the chatbot. If components are not already rendered in a surrounding Blocks, then the components will be displayed under the chatbot, in an accordion.

additional_inputs_accordion: str | Accordion | None

default = None

if a string is provided, this is the label of the `gr.Accordion` to use to contain additional inputs. A `gr.Accordion` object can be provided as well to configure other properties of the container holding the additional inputs. Defaults to a `gr.Accordion(label="Additional Inputs", open=False)`. This parameter is only used if `additional_inputs` is provided.

examples: list[str] | list[MultimodalValue] | list[list] | None

default = None

sample inputs for the function; if provided, appear within the chatbot and can be clicked to populate the chatbot input. Should be a list of strings if `multimodal` is False, and a list of dictionaries (with keys `text` and `files`) if `multimodal` is True. Should also include values for the additional inputs if they are provided.

example_labels: list[str] | None

default = None

labels for the examples, to be displayed instead of the examples themselves. If provided, should be a list of strings with the same length as the examples list.

example_icons: list[str] | None

default = None

icons for the examples, to be displayed above the examples. If provided, should be a list of string URLs or local paths with the same length as the examples list.

cache_examples: bool | None

default = None

if True, caches examples in the server for fast runtime in examples. The default option in HuggingFace Spaces is True. The default option elsewhere is False.

cache_mode: Literal['eager', 'lazy'] | None

default = None

If "lazy", then examples are cached (for all users of the app) after their first use (by any user of the app). If "eager", all examples are cached at app launch. If None, will use the GRADIO_CACHE_MODE environment variable if defined, or default to "eager".

title: str | None

default = None

a title for the interface; if provided, appears above chatbot in large font. Also used as the tab title when opened in a browser window.

description: str | None

default = None

a description for the interface; if provided, appears above the chatbot and beneath the title in regular font. Accepts Markdown and HTML content.

theme: Theme | str | None

default = None

a Theme object or a string representing a theme. If a string, will look for a built-in theme with that name (e.g. "soft" or "default"), or will attempt to load a theme from the Hugging Face Hub (e.g. "gradio/monochrome"). If None, will use the Default theme.

css: str | None

default = None

Custom css as a code string. This css will be included in the demo webpage.

css_paths: str | Path | list[str | Path] | None

default = None

Custom css as a pathlib.Path to a css file or a list of such paths. This css files will be read, concatenated, and included in the demo webpage. If the `css` parameter is also set, the css from `css` will be included first.

js: str | None

default = None

Custom js as a code string. The custom js should be in the form of a single js function. This function will automatically be executed when the page loads. For more flexibility, use the head parameter to insert js inside <script> tags.

head: str | None

default = None

Custom html code to insert into the head of the demo webpage. This can be used to add custom meta tags, multiple scripts, stylesheets, etc. to the page.

head_paths: str | Path | list[str | Path] | None

default = None

Custom html code as a pathlib.Path to a html file or a list of such paths. This html files will be read, concatenated, and included in the head of the demo webpage. If the `head` parameter is also set, the html from `head` will be included first.

analytics_enabled: bool | None

default = None

whether to allow basic telemetry. If None, will use GRADIO_ANALYTICS_ENABLED environment variable if defined, or default to True.

autofocus: bool

default = True

if True, autofocuses to the textbox when the page loads.

autoscroll: bool

default = True

If True, will automatically scroll to the bottom of the textbox when the value changes, unless the user scrolls up. If False, will not scroll to the bottom of the textbox when the value changes.

concurrency_limit: int | None | Literal['default']

default = "default"

if set, this is the maximum number of chatbot submissions that can be running simultaneously. Can be set to None to mean no limit (any number of chatbot submissions can be running simultaneously). Set to "default" to use the default concurrency limit (defined by the `default_concurrency_limit` parameter in `.queue()`, which is 1 by default).

fill_height: bool

default = True

if True, the chat interface will expand to the height of window.

delete_cache: tuple[int, int] | None

default = None

a tuple corresponding [frequency, age] both expressed in number of seconds. Every `frequency` seconds, the temporary files created by this Blocks instance will be deleted if more than `age` seconds have passed since the file was created. For example, setting this to (86400, 86400) will delete temporary files every day. The cache will be deleted entirely when the server restarts. If None, no cache deletion will occur.

show_progress: Literal['full', 'minimal', 'hidden']

default = "minimal"

how to show the progress animation while event is running: "full" shows a spinner which covers the output component area as well as a runtime display in the upper right corner, "minimal" only shows the runtime display, "hidden" shows no progress animation at all

fill_width: bool

default = False

Whether to horizontally expand to fill container fully. If False, centers and constrains app to a maximum width.

submit_btn: str | bool | None

default = True

If True, will show a submit button with a submit icon within the textbox. If a string, will use that string as the submit button text in place of the icon. If False, will not show a submit button.

stop_btn: str | bool | None

default = True

If True, will show a button with a stop icon during generator executions, to stop generating. If a string, will use that string as the submit button text in place of the stop icon. If False, will not show a stop button.

Demos

import gradio as gr def echo(message, history): return message["text"] demo = gr.ChatInterface( fn=echo, type="messages", examples=[{"text": "hello"}, {"text": "hola"}, {"text": "merhaba"}], title="Echo Bot", multimodal=True, ) demo.launch()

import gradio as gr

def echo(message, history):
    return message["text"]

demo = gr.ChatInterface(
    fn=echo,
    type="messages",
    examples=[{"text": "hello"}, {"text": "hola"}, {"text": "merhaba"}],
    title="Echo Bot",
    multimodal=True,
)
demo.launch()

import random import gradio as gr def random_response(message, history): return random.choice(["Yes", "No"]) demo = gr.ChatInterface(random_response, type="messages") if __name__ == "__main__": demo.launch()

import random
import gradio as gr

def random_response(message, history):
    return random.choice(["Yes", "No"])

demo = gr.ChatInterface(random_response, type="messages")

if __name__ == "__main__":
    demo.launch()

import time import gradio as gr def slow_echo(message, history): for i in range(len(message)): time.sleep(0.05) yield "You typed: " + message[: i + 1] demo = gr.ChatInterface(slow_echo, type="messages") if __name__ == "__main__": demo.launch()

import time
import gradio as gr

def slow_echo(message, history):
    for i in range(len(message)):
        time.sleep(0.05)
        yield "You typed: " + message[: i + 1]

demo = gr.ChatInterface(slow_echo, type="messages")

if __name__ == "__main__":
    demo.launch()

Guides

Creating A Chatbot Fast

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