New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

chore: update versions #8663

Merged

abidlabs merged 1 commit into main from changeset-release/main

Jul 12, 2024

Member

pngwn commented Jun 28, 2024 •

edited

Loading

This PR was opened by the Changesets release GitHub action. When you're ready to do a release, you can merge this and the packages will be published to npm automatically. If you're not ready to do a release yet, that's fine, whenever you add more changesets to main, this PR will be updated.

Releases

@gradio/[email protected]

Fixes

#8699 012da05 - Ensure JS client status_callback functionality works and improve status messages. Thanks @hannahblair!
#8505 2943d6d - Add Timer component. Thanks @aliabid94!
#8715 a6b3c6c - Ensure @gradio/client's submit iterator releases as expected. Thanks @pngwn!
#8716 e834d30 - ensure @gradio/client always returns the correct data. Thanks @pngwn!
#8714 1b5b5b0 - Bind fetch and stream in JS client. Thanks @hannahblair!
#8720 936c713 - Documents auth in the guides, in the view API page, and also types the Blocks.config object. Thanks @abidlabs!

[email protected]

Fixes

#8505 2943d6d - Add Timer component. Thanks @aliabid94!

[email protected]

Highlights

Support message format in chatbot 💬 (#8422 `4221290`)

gr.Chatbot and gr.ChatInterface now support the Messages API, which is fully compatible with LLM API providers such as Hugging Face Text Generation Inference, OpenAI's chat completions API, and Llama.cpp server.

Building Gradio applications around these LLM solutions is now even easier!

gr.Chatbot and gr.ChatInterface now have a type parameter that can accept two values - 'tuples' and 'messages'. If set to 'tuples', the default chatbot data format is expected. If set to 'messages', a list of dictionaries with content and role keys is expected. See below -

def chat_greeter(msg, history):
    history.append({"role": "assistant", "content": "Hello!"})
    return history

Additionally, gradio now exposes a gr.ChatMessage dataclass you can use for IDE type hints and auto completion.

Tool use in Chatbot 🛠️

The Gradio Chatbot can now natively display tool usage and intermediate thoughts common in Agent and chain-of-thought workflows!

If you are using the new "messages" format, simply add a metadata key with a dictionary containing a title key and value. This will display the assistant message in an expandable message box to show the result of a tool or intermediate step.

import gradio as gr
from gradio import ChatMessage
import time

def generate_response(history):
    history.append(ChatMessage(role="user", content="What is the weather in San Francisco right now?"))
    yield history
    time.sleep(0.25)
    history.append(ChatMessage(role="assistant",
                               content="In order to find the current weather in San Francisco, I will need to use my weather tool.")
                               )
    yield history
    time.sleep(0.25)

    history.append(ChatMessage(role="assistant",
                               content="API Error when connecting to weather service.",
                              metadata={"title": "💥 Error using tool 'Weather'"})
                  )
    yield history
    time.sleep(0.25)

    history.append(ChatMessage(role="assistant",
                               content="I will try again",
                              ))
    yield history
    time.sleep(0.25)

    history.append(ChatMessage(role="assistant",
                               content="Weather 72 degrees Fahrenheit with 20% chance of rain.",
                                metadata={"title": "🛠️ Used tool 'Weather'"}
                              ))
    yield history
    time.sleep(0.25)

    history.append(ChatMessage(role="assistant",
                               content="Now that the API succeeded I can complete my task.",
                              ))
    yield history
    time.sleep(0.25)

    history.append(ChatMessage(role="assistant",
                               content="It's a sunny day in San Francisco with a current temperature of 72 degrees Fahrenheit and a 20% chance of rain. Enjoy the weather!",
                              ))
    yield history


with gr.Blocks() as demo:
    chatbot  = gr.Chatbot(type="messages")
    button = gr.Button("Get San Francisco Weather")
    button.click(generate_response, chatbot, chatbot)

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

Thanks @freddyaboulton!

Features

#8683 a92c3e8 - Warn against Falsy credentials. Thanks @Paillat-dev!
#8743 ee497d5 - Perform CORS validation when the request has a cookie. Thanks @abidlabs!
#8744 b736c8d - Refactor gr.ParamViewer to use HTML <details> and other tweaks. Thanks @abidlabs!
#8665 3b8238c - Add c/cpp code support. Thanks @ginazhouhuiwu!
#8713 e3c7079 - Time range component. Thanks @aliabid94!
#8705 280a3f4 - GRADIO_ALLOWED_PATHS & GRADIO_BLOCKED_PATHS comma separated environme…. Thanks @cocktailpeanut!
#8733 fb0daf3 - Improvements to gr.Examples: adds events as attributes and documents, them, adds sample_labels, and visible properties. Thanks @abidlabs!
#8750 5e36144 - Add guides for msg format and llm agents. Thanks @freddyaboulton!
#8687 bc1d45d - Model3D point cloud and wireframe display modes. Thanks @dawoodkhan82!

Fixes

#8699 012da05 - Ensure JS client status_callback functionality works and improve status messages. Thanks @hannahblair!
#8763 c1ecfde - 8394 df hidden items. Thanks @pngwn!
#8505 2943d6d - Add Timer component. Thanks @aliabid94!
#8715 a6b3c6c - Ensure @gradio/client's submit iterator releases as expected. Thanks @pngwn!
#8758 26cdd0f - Revert chatbot styling. Thanks @pngwn!
#8658 0482453 - Chatbot LaTeX Crash Fix. Thanks @dawoodkhan82!
#8716 e834d30 - ensure @gradio/client always returns the correct data. Thanks @pngwn!
#8737 31a876d - Fix Share to community button for images. Thanks @hannahblair!
#8719 d15ada9 - Fix multimodal textbox custom components. Thanks @freddyaboulton!
#8714 1b5b5b0 - Bind fetch and stream in JS client. Thanks @hannahblair!
#8677 c946c6f - Allow supplying custom gr.Chatbot with events to gr.ChatInterface. Thanks @abidlabs!
#8748 a9307c6 - Chatbot generating scroll and click fix. Thanks @freddyaboulton!
#8720 936c713 - Documents auth in the guides, in the view API page, and also types the Blocks.config object. Thanks @abidlabs!

@gradio/[email protected]

Dependency updates

@gradio/[email protected]
@gradio/[email protected]

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Highlights

Support message format in chatbot 💬 (#8422 `4221290`)

gr.Chatbot and gr.ChatInterface now support the Messages API, which is fully compatible with LLM API providers such as Hugging Face Text Generation Inference, OpenAI's chat completions API, and Llama.cpp server.

Building Gradio applications around these LLM solutions is now even easier!

gr.Chatbot and gr.ChatInterface now have a type parameter that can accept two values - 'tuples' and 'messages'. If set to 'tuples', the default chatbot data format is expected. If set to 'messages', a list of dictionaries with content and role keys is expected. See below -

def chat_greeter(msg, history):
    history.append({"role": "assistant", "content": "Hello!"})
    return history

Additionally, gradio now exposes a gr.ChatMessage dataclass you can use for IDE type hints and auto completion.

Tool use in Chatbot 🛠️

The Gradio Chatbot can now natively display tool usage and intermediate thoughts common in Agent and chain-of-thought workflows!

If you are using the new "messages" format, simply add a metadata key with a dictionary containing a title key and value. This will display the assistant message in an expandable message box to show the result of a tool or intermediate step.

import gradio as gr
from gradio import ChatMessage
import time

def generate_response(history):
    history.append(ChatMessage(role="user", content="What is the weather in San Francisco right now?"))
    yield history
    time.sleep(0.25)
    history.append(ChatMessage(role="assistant",
                               content="In order to find the current weather in San Francisco, I will need to use my weather tool.")
                               )
    yield history
    time.sleep(0.25)

    history.append(ChatMessage(role="assistant",
                               content="API Error when connecting to weather service.",
                              metadata={"title": "💥 Error using tool 'Weather'"})
                  )
    yield history
    time.sleep(0.25)

    history.append(ChatMessage(role="assistant",
                               content="I will try again",
                              ))
    yield history
    time.sleep(0.25)

    history.append(ChatMessage(role="assistant",
                               content="Weather 72 degrees Fahrenheit with 20% chance of rain.",
                                metadata={"title": "🛠️ Used tool 'Weather'"}
                              ))
    yield history
    time.sleep(0.25)

    history.append(ChatMessage(role="assistant",
                               content="Now that the API succeeded I can complete my task.",
                              ))
    yield history
    time.sleep(0.25)

    history.append(ChatMessage(role="assistant",
                               content="It's a sunny day in San Francisco with a current temperature of 72 degrees Fahrenheit and a 20% chance of rain. Enjoy the weather!",
                              ))
    yield history


with gr.Blocks() as demo:
    chatbot  = gr.Chatbot(type="messages")
    button = gr.Button("Get San Francisco Weather")
    button.click(generate_response, chatbot, chatbot)

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

Thanks @freddyaboulton!

Fixes

#8758 26cdd0f - Revert chatbot styling. Thanks @pngwn!

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Features

#8665 3b8238c - Add c/cpp code support. Thanks @ginazhouhuiwu!

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Fixes

#8763 c1ecfde - 8394 df hidden items. Thanks @pngwn!

Dependency updates

@gradio/[email protected]

Features

#8733 fb0daf3 - Improvements to gr.Examples: adds events as attributes and documents, them, adds sample_labels, and visible properties. Thanks @abidlabs!

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Features

#8713 e3c7079 - Time range component. Thanks @aliabid94!

@gradio/[email protected]

Fixes

#8737 31a876d - Fix Share to community button for images. Thanks @hannahblair!

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Dependency updates

[email protected]

@gradio/[email protected]

Fixes

#8658 0482453 - Chatbot LaTeX Crash Fix. Thanks @dawoodkhan82!

Dependency updates

@gradio/[email protected]

Features

#8687 bc1d45d - Model3D point cloud and wireframe display modes. Thanks @dawoodkhan82!

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Features

#8744 b736c8d - Refactor gr.ParamViewer to use HTML <details> and other tweaks. Thanks @abidlabs!

Dependency updates

@gradio/[email protected]

Features

#8713 e3c7079 - Time range component. Thanks @aliabid94!

Dependency updates

@gradio/[email protected]

Fixes

#8761 078663a - Fix issue with virtual module in custom components. Thanks @pngwn!

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Fixes

#8748 a9307c6 - Chatbot generating scroll and click fix. Thanks @freddyaboulton!

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Fixes

#8505 2943d6d - Add Timer component. Thanks @aliabid94!

Dependency updates

@gradio/[email protected]

@gradio/[email protected]

Highlights

Support message format in chatbot 💬 (#8422 `4221290`)

gr.Chatbot and gr.ChatInterface now support the Messages API, which is fully compatible with LLM API providers such as Hugging Face Text Generation Inference, OpenAI's chat completions API, and Llama.cpp server.

Building Gradio applications around these LLM solutions is now even easier!

gr.Chatbot and gr.ChatInterface now have a type parameter that can accept two values - 'tuples' and 'messages'. If set to 'tuples', the default chatbot data format is expected. If set to 'messages', a list of dictionaries with content and role keys is expected. See below -

def chat_greeter(msg, history):
    history.append({"role": "assistant", "content": "Hello!"})
    return history

Additionally, gradio now exposes a gr.ChatMessage dataclass you can use for IDE type hints and auto completion.

Tool use in Chatbot 🛠️

The Gradio Chatbot can now natively display tool usage and intermediate thoughts common in Agent and chain-of-thought workflows!

If you are using the new "messages" format, simply add a metadata key with a dictionary containing a title key and value. This will display the assistant message in an expandable message box to show the result of a tool or intermediate step.

import gradio as gr
from gradio import ChatMessage
import time

def generate_response(history):
    history.append(ChatMessage(role="user", content="What is the weather in San Francisco right now?"))
    yield history
    time.sleep(0.25)
    history.append(ChatMessage(role="assistant",
                               content="In order to find the current weather in San Francisco, I will need to use my weather tool.")
                               )
    yield history
    time.sleep(0.25)

    history.append(ChatMessage(role="assistant",
                               content="API Error when connecting to weather service.",
                              metadata={"title": "💥 Error using tool 'Weather'"})
                  )
    yield history
    time.sleep(0.25)

    history.append(ChatMessage(role="assistant",
                               content="I will try again",
                              ))
    yield history
    time.sleep(0.25)

    history.append(ChatMessage(role="assistant",
                               content="Weather 72 degrees Fahrenheit with 20% chance of rain.",
                                metadata={"title": "🛠️ Used tool 'Weather'"}
                              ))
    yield history
    time.sleep(0.25)

    history.append(ChatMessage(role="assistant",
                               content="Now that the API succeeded I can complete my task.",
                              ))
    yield history
    time.sleep(0.25)

    history.append(ChatMessage(role="assistant",
                               content="It's a sunny day in San Francisco with a current temperature of 72 degrees Fahrenheit and a 20% chance of rain. Enjoy the weather!",
                              ))
    yield history


with gr.Blocks() as demo:
    chatbot  = gr.Chatbot(type="messages")
    button = gr.Button("Get San Francisco Weather")
    button.click(generate_response, chatbot, chatbot)

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

Thanks @freddyaboulton!

Features

#8222 3a6142f - Lite load perf ci. Thanks @whitphx!

Dependency updates

@gradio/[email protected]
@gradio/[email protected]

@gradio/[email protected]

Fixes

#8714 1b5b5b0 - Bind fetch and stream in JS client. Thanks @hannahblair!

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Fixes

#8737 31a876d - Fix Share to community button for images. Thanks @hannahblair!

@gradio/[email protected]

Dependency updates

[email protected]

Highlights

Support message format in chatbot 💬 (#8422 `4221290`)

gr.Chatbot and gr.ChatInterface now support the Messages API, which is fully compatible with LLM API providers such as Hugging Face Text Generation Inference, OpenAI's chat completions API, and Llama.cpp server.

Building Gradio applications around these LLM solutions is now even easier!

gr.Chatbot and gr.ChatInterface now have a type parameter that can accept two values - 'tuples' and 'messages'. If set to 'tuples', the default chatbot data format is expected. If set to 'messages', a list of dictionaries with content and role keys is expected. See below -

def chat_greeter(msg, history):
    history.append({"role": "assistant", "content": "Hello!"})
    return history

Additionally, gradio now exposes a gr.ChatMessage dataclass you can use for IDE type hints and auto completion.

Tool use in Chatbot 🛠️

The Gradio Chatbot can now natively display tool usage and intermediate thoughts common in Agent and chain-of-thought workflows!

If you are using the new "messages" format, simply add a metadata key with a dictionary containing a title key and value. This will display the assistant message in an expandable message box to show the result of a tool or intermediate step.

import gradio as gr
from gradio import ChatMessage
import time

def generate_response(history):
    history.append(ChatMessage(role="user", content="What is the weather in San Francisco right now?"))
    yield history
    time.sleep(0.25)
    history.append(ChatMessage(role="assistant",
                               content="In order to find the current weather in San Francisco, I will need to use my weather tool.")
                               )
    yield history
    time.sleep(0.25)

    history.append(ChatMessage(role="assistant",
                               content="API Error when connecting to weather service.",
                              metadata={"title": "💥 Error using tool 'Weather'"})
                  )
    yield history
    time.sleep(0.25)

    history.append(ChatMessage(role="assistant",
                               content="I will try again",
                              ))
    yield history
    time.sleep(0.25)

    history.append(ChatMessage(role="assistant",
                               content="Weather 72 degrees Fahrenheit with 20% chance of rain.",
                                metadata={"title": "🛠️ Used tool 'Weather'"}
                              ))
    yield history
    time.sleep(0.25)

    history.append(ChatMessage(role="assistant",
                               content="Now that the API succeeded I can complete my task.",
                              ))
    yield history
    time.sleep(0.25)

    history.append(ChatMessage(role="assistant",
                               content="It's a sunny day in San Francisco with a current temperature of 72 degrees Fahrenheit and a 20% chance of rain. Enjoy the weather!",
                              ))
    yield history


with gr.Blocks() as demo:
    chatbot  = gr.Chatbot(type="messages")
    button = gr.Button("Get San Francisco Weather")
    button.click(generate_response, chatbot, chatbot)

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

Thanks @freddyaboulton!

Features

#8733 fb0daf3 - Improvements to gr.Examples: adds events as attributes and documents, them, adds sample_labels, and visible properties. Thanks @abidlabs!
#8686 64ac05b - Better spacing for codeblocks on docs. Thanks @aliabd!
#8656 740364e - Add guide on best practices for ZeroGPU limits with the python client. Thanks @freddyaboulton!
#8689 edcd574 - Fix playground to display errors. Thanks @whitphx!
#8624 ba59bb8 - Add search to website. Thanks @aliabd!

Fixes

#8505 2943d6d - Add Timer component. Thanks @aliabid94!
#8677 c946c6f - Allow supplying custom gr.Chatbot with events to gr.ChatInterface. Thanks @abidlabs!

Dependency updates

@gradio/[email protected]

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Dependency updates

@gradio/[email protected]

Features

#8713 e3c7079 - Time range component. Thanks @aliabid94!

Fixes

#8505 2943d6d - Add Timer component. Thanks @aliabid94!
#8720 936c713 - Documents auth in the guides, in the view API page, and also types the Blocks.config object. Thanks @abidlabs!

Dependency updates

@gradio/[email protected]

Dependency updates

pngwn added no-visual-update flaky-tests windows-tests labels

Contributor

gradio-pr-bot commented Jun 28, 2024 •

edited

Loading

🪼 branch checks and previews

•	Name	Status	URL
	Spaces	ready!	Spaces preview
	Website	ready!	Website preview
	Storybook	building...
🦄	Changes	skipped!	Workflow log

Install Gradio from this PR

pip install https://gradio-builds.s3.amazonaws.com/7bdd359c16cde77d0c61eb4e1577f7e2b67d7af2/gradio-4.37.2-py3-none-any.whl

Install Gradio Python Client from this PR

pip install "gradio-client @ git+https://github.com/gradio-app/gradio@7bdd359c16cde77d0c61eb4e1577f7e2b67d7af2#subdirectory=client/python"

Install Gradio JS Client from this PR

npm install https://gradio-builds.s3.amazonaws.com/7bdd359c16cde77d0c61eb4e1577f7e2b67d7af2/gradio-client-1.3.0.tgz

pngwn force-pushed the changeset-release/main branch 13 times, most recently from 7e881ab to 7eaf014 Compare

July 8, 2024 11:05

pngwn force-pushed the changeset-release/main branch 2 times, most recently from 34a3fc8 to 5e8a180 Compare

July 9, 2024 23:54

abidlabs force-pushed the main branch from db4a4e8 to 936c713 Compare

July 10, 2024 00:05

pngwn force-pushed the changeset-release/main branch 10 times, most recently from 18460fd to 2f898e3 Compare

July 11, 2024 13:15

pngwn force-pushed the changeset-release/main branch 12 times, most recently from 60e0d35 to e567844 Compare

July 12, 2024 17:38


          chore: update versions

7bdd359

pngwn force-pushed the changeset-release/main branch from e567844 to 7bdd359 Compare

July 12, 2024 17:39

Member

abidlabs commented Jul 12, 2024

Tested locally and everything lgtm!

abidlabs merged commit 1b74e21 into main

8 of 9 checks passed

abidlabs deleted the changeset-release/main branch

July 12, 2024 18:54

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment