Adds additional_inputs to gr.ChatInterface (#4985)

* adding additional inputs

* add param

* guide

* add is_rendered

* add demo

* fixing examples

* add test

* guide

* add changeset

* Fix typos

* Remove label

* Revert "Remove label"

This reverts commit 1004285.

* add changeset

---------

Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com>
Co-authored-by: freddyaboulton <alfonsoboulton@gmail.com>

.changeset/witty-pets-rhyme.md

@@ -0,0 +1,5 @@
+---
+"gradio": minor
+---
+
+feat:Adds `additional_inputs` to `gr.ChatInterface`

demo/chatinterface_system_prompt/run.ipynb

@@ -0,0 +1 @@
+{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: chatinterface_system_prompt"]}, {"cell_type": "code", "execution_count": null, "id": 272996653310673477252411125948039410165, "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": 288918539441861185822528903084949547379, "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import time\n", "\n", "def echo(message, history, system_prompt, tokens):\n", "    response = f\"System prompt: {system_prompt}\\n Message: {message}.\"\n", "    for i in range(min(len(response), int(tokens))):\n", "        time.sleep(0.05)\n", "        yield response[: i+1]\n", "\n", "demo = gr.ChatInterface(echo, \n", "                        additional_inputs=[\n", "                            gr.Textbox(\"You are helpful AI.\", label=\"System Prompt\"), \n", "                            gr.Slider(10, 100)\n", "                        ]\n", "                       )\n", "\n", "if __name__ == \"__main__\":\n", "    demo.queue().launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

demo/chatinterface_system_prompt/run.py

@@ -0,0 +1,18 @@
+import gradio as gr
+import time
+
+def echo(message, history, system_prompt, tokens):
+    response = f"System prompt: {system_prompt}\n Message: {message}."
+    for i in range(min(len(response), int(tokens))):
+        time.sleep(0.05)
+        yield response[: i+1]
+
+demo = gr.ChatInterface(echo, 
+                        additional_inputs=[
+                            gr.Textbox("You are helpful AI.", label="System Prompt"), 
+                            gr.Slider(10, 100)
+                        ]
+                       )
+
+if __name__ == "__main__":
+    demo.queue().launch()

gradio/blocks.py

@@ -110,6 +110,7 @@ def __init__(
         self.share_token = secrets.token_urlsafe(32)
         self._skip_init_processing = _skip_init_processing
         self.parent: BlockContext | None = None
+        self.is_rendered: bool = False
 
         if render:
             self.render()
@@ -127,6 +128,7 @@ def render(self):
             Context.block.add(self)
         if Context.root_block is not None:
             Context.root_block.blocks[self._id] = self
+            self.is_rendered = True
             if isinstance(self, components.IOComponent):
                 Context.root_block.temp_file_sets.append(self.temp_files)
         return self
@@ -144,6 +146,7 @@ def unrender(self):
         if Context.root_block is not None:
             try:
                 del Context.root_block.blocks[self._id]
+                self.is_rendered = False
             except KeyError:
                 pass
         return self

gradio/chat_interface.py

@@ -6,22 +6,24 @@
 from __future__ import annotations
 
 import inspect
-import warnings
 from typing import Callable, Generator
 
+from gradio_client import utils as client_utils
 from gradio_client.documentation import document, set_documentation_group
 
 from gradio.blocks import Blocks
 from gradio.components import (
     Button,
     Chatbot,
+    IOComponent,
     Markdown,
     State,
     Textbox,
+    get_component_instance,
 )
 from gradio.events import Dependency, EventListenerMethod
 from gradio.helpers import create_examples as Examples  # noqa: N812
-from gradio.layouts import Column, Group, Row
+from gradio.layouts import Accordion, Column, Group, Row
 from gradio.themes import ThemeClass as Theme
 
 set_documentation_group("chatinterface")
@@ -53,6 +55,8 @@ def __init__(
         *,
         chatbot: Chatbot | None = None,
         textbox: Textbox | None = None,
+        additional_inputs: str | IOComponent | list[str | IOComponent] | None = None,
+        additional_inputs_accordion_name: str = "Additional Inputs",
         examples: list[str] | None = None,
         cache_examples: bool | None = None,
         title: str | None = None,
@@ -65,12 +69,15 @@ def __init__(
         retry_btn: str | None | Button = "🔄  Retry",
         undo_btn: str | None | Button = "↩️ Undo",
         clear_btn: str | None | Button = "🗑️  Clear",
+        autofocus: bool = True,
     ):
         """
         Parameters:
             fn: 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.
             chatbot: 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: an instance of the gr.Textbox component to use for the chat interface, if you would like to customize the textbox properties. If not provided, a default gr.Textbox component will be created.
+            additional_inputs: 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_name: the label of the accordion to use for additional inputs, only used if additional_inputs is provided.
             examples: sample inputs for the function; if provided, appear below the chatbot and can be clicked to populate the chatbot input.
             cache_examples: 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.
             title: 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.
@@ -83,6 +90,7 @@ def __init__(
             retry_btn: Text to display on the retry button. If None, no button will be displayed. If a Button object, that button will be used.
             undo_btn: Text to display on the delete last button. If None, no button will be displayed. If a Button object, that button will be used.
             clear_btn: Text to display on the clear button. If None, no button will be displayed. If a Button object, that button will be used.
+            autofocus: If True, autofocuses to the textbox when the page loads.
         """
         super().__init__(
             analytics_enabled=analytics_enabled,
@@ -91,12 +99,6 @@ def __init__(
             title=title or "Gradio",
             theme=theme,
         )
-        if len(inspect.signature(fn).parameters) != 2:
-            warnings.warn(
-                "The function to ChatInterface should take two inputs (message, history) and return a single string response.",
-                UserWarning,
-            )
-
         self.fn = fn
         self.is_generator = inspect.isgeneratorfunction(self.fn)
         self.examples = examples
@@ -106,6 +108,16 @@ def __init__(
             self.cache_examples = cache_examples or False
         self.buttons: list[Button] = []
 
+        if additional_inputs:
+            if not isinstance(additional_inputs, list):
+                additional_inputs = [additional_inputs]
+            self.additional_inputs = [
+                get_component_instance(i, render=False) for i in additional_inputs  # type: ignore
+            ]
+        else:
+            self.additional_inputs = []
+        self.additional_inputs_accordion_name = additional_inputs_accordion_name
+
         with self:
             if title:
                 Markdown(
@@ -130,9 +142,10 @@ def __init__(
                             self.textbox = Textbox(
                                 container=False,
                                 show_label=False,
+                                label="Message",
                                 placeholder="Type a message...",
                                 scale=7,
-                                autofocus=True,
+                                autofocus=autofocus,
                             )
                         if submit_btn:
                             if isinstance(submit_btn, Button):
@@ -199,12 +212,24 @@ def __init__(
 
                 self.examples_handler = Examples(
                     examples=examples,
-                    inputs=self.textbox,
+                    inputs=[self.textbox] + self.additional_inputs,
                     outputs=self.chatbot,
                     fn=examples_fn,
-                    cache_examples=self.cache_examples,
                 )
 
+            any_unrendered_inputs = any(
+                not inp.is_rendered for inp in self.additional_inputs
+            )
+            if self.additional_inputs and any_unrendered_inputs:
+                with Accordion(self.additional_inputs_accordion_name, open=False):
+                    for input_component in self.additional_inputs:
+                        if not input_component.is_rendered:
+                            input_component.render()
+
+            # The example caching must happen after the input components have rendered
+            if cache_examples:
+                client_utils.synchronize_async(self.examples_handler.cache)
+
             self.saved_input = State()
             self.chatbot_state = State([])
 
@@ -230,7 +255,7 @@ def _setup_events(self) -> None:
             )
             .then(
                 submit_fn,
-                [self.saved_input, self.chatbot_state],
+                [self.saved_input, self.chatbot_state] + self.additional_inputs,
                 [self.chatbot, self.chatbot_state],
                 api_name=False,
             )
@@ -255,7 +280,7 @@ def _setup_events(self) -> None:
                 )
                 .then(
                     submit_fn,
-                    [self.saved_input, self.chatbot_state],
+                    [self.saved_input, self.chatbot_state] + self.additional_inputs,
                     [self.chatbot, self.chatbot_state],
                     api_name=False,
                 )
@@ -280,7 +305,7 @@ def _setup_events(self) -> None:
                 )
                 .then(
                     submit_fn,
-                    [self.saved_input, self.chatbot_state],
+                    [self.saved_input, self.chatbot_state] + self.additional_inputs,
                     [self.chatbot, self.chatbot_state],
                     api_name=False,
                 )
@@ -358,7 +383,7 @@ def _setup_api(self) -> None:
 
         self.fake_api_btn.click(
             api_fn,
-            [self.textbox, self.chatbot_state],
+            [self.textbox, self.chatbot_state] + self.additional_inputs,
             [self.textbox, self.chatbot_state],
             api_name="chat",
         )
@@ -373,18 +398,26 @@ def _display_input(
         return history, history
 
     def _submit_fn(
-        self, message: str, history_with_input: list[list[str | None]]
+        self,
+        message: str,
+        history_with_input: list[list[str | None]],
+        *args,
+        **kwargs,
     ) -> tuple[list[list[str | None]], list[list[str | None]]]:
         history = history_with_input[:-1]
-        response = self.fn(message, history)
+        response = self.fn(message, history, *args, **kwargs)
         history.append([message, response])
         return history, history
 
     def _stream_fn(
-        self, message: str, history_with_input: list[list[str | None]]
+        self,
+        message: str,
+        history_with_input: list[list[str | None]],
+        *args,
+        **kwargs,
     ) -> Generator[tuple[list[list[str | None]], list[list[str | None]]], None, None]:
         history = history_with_input[:-1]
-        generator = self.fn(message, history)
+        generator = self.fn(message, history, *args, **kwargs)
         try:
             first_response = next(generator)
             update = history + [[message, first_response]]
@@ -397,16 +430,16 @@ def _stream_fn(
             yield update, update
 
     def _api_submit_fn(
-        self, message: str, history: list[list[str | None]]
+        self, message: str, history: list[list[str | None]], *args, **kwargs
     ) -> tuple[str, list[list[str | None]]]:
         response = self.fn(message, history)
         history.append([message, response])
         return response, history
 
     def _api_stream_fn(
-        self, message: str, history: list[list[str | None]]
+        self, message: str, history: list[list[str | None]], *args, **kwargs
     ) -> Generator[tuple[str | None, list[list[str | None]]], None, None]:
-        generator = self.fn(message, history)
+        generator = self.fn(message, history, *args, **kwargs)
         try:
             first_response = next(generator)
             yield first_response, history + [[message, first_response]]
@@ -415,13 +448,16 @@ def _api_stream_fn(
         for response in generator:
             yield response, history + [[message, response]]
 
-    def _examples_fn(self, message: str) -> list[list[str | None]]:
-        return [[message, self.fn(message, [])]]
+    def _examples_fn(self, message: str, *args, **kwargs) -> list[list[str | None]]:
+        return [[message, self.fn(message, [], *args, **kwargs)]]
 
     def _examples_stream_fn(
-        self, message: str
+        self,
+        message: str,
+        *args,
+        **kwargs,
     ) -> Generator[list[list[str | None]], None, None]:
-        for response in self.fn(message, []):
+        for response in self.fn(message, [], *args, **kwargs):
             yield [[message, response]]
 
     def _delete_prev_fn(

gradio/helpers.py

@@ -195,7 +195,7 @@ def __init__(
         self.non_none_examples = non_none_examples
         self.inputs = inputs
         self.inputs_with_examples = inputs_with_examples
-        self.outputs = outputs
+        self.outputs = outputs or []
         self.fn = fn
         self.cache_examples = cache_examples
         self._api_mode = _api_mode
@@ -250,23 +250,14 @@ async def create(self) -> None:
         component to hold the examples"""
 
         async def load_example(example_id):
-            if self.cache_examples:
-                processed_example = self.non_none_processed_examples[
-                    example_id
-                ] + await self.load_from_cache(example_id)
-            else:
-                processed_example = self.non_none_processed_examples[example_id]
+            processed_example = self.non_none_processed_examples[example_id]
             return utils.resolve_singleton(processed_example)
 
         if Context.root_block:
-            if self.cache_examples and self.outputs:
-                targets = self.inputs_with_examples + self.outputs
-            else:
-                targets = self.inputs_with_examples
-            load_input_event = self.dataset.click(
+            self.load_input_event = self.dataset.click(
                 load_example,
                 inputs=[self.dataset],
-                outputs=targets,  # type: ignore
+                outputs=self.inputs_with_examples,  # type: ignore
                 show_progress="hidden",
                 postprocess=False,
                 queue=False,
@@ -275,7 +266,7 @@ async def load_example(example_id):
             if self.run_on_click and not self.cache_examples:
                 if self.fn is None:
                     raise ValueError("Cannot run_on_click if no function is provided")
-                load_input_event.then(
+                self.load_input_event.then(
                     self.fn,
                     inputs=self.inputs,  # type: ignore
                     outputs=self.outputs,  # type: ignore
@@ -301,25 +292,24 @@ async def cache(self) -> None:
 
             if inspect.isgeneratorfunction(self.fn):
 
-                def get_final_item(args):  # type: ignore
+                def get_final_item(*args):  # type: ignore
                     x = None
-                    for x in self.fn(args):  # noqa: B007  # type: ignore
+                    for x in self.fn(*args):  # noqa: B007  # type: ignore
                         pass
                     return x
 
                 fn = get_final_item
             elif inspect.isasyncgenfunction(self.fn):
 
-                async def get_final_item(args):
+                async def get_final_item(*args):
                     x = None
-                    async for x in self.fn(args):  # noqa: B007  # type: ignore
+                    async for x in self.fn(*args):  # noqa: B007  # type: ignore
                         pass
                     return x
 
                 fn = get_final_item
             else:
                 fn = self.fn
-
             # create a fake dependency to process the examples and get the predictions
             dependency, fn_index = Context.root_block.set_event_trigger(
                 event_name="fake_event",
@@ -352,6 +342,30 @@ async def get_final_item(args):
             # Remove the "fake_event" to prevent bugs in loading interfaces from spaces
             Context.root_block.dependencies.remove(dependency)
             Context.root_block.fns.pop(fn_index)
+
+            # Remove the original load_input_event and replace it with one that
+            # also populates the input. We do it this way to to allow the cache()
+            # method to be called independently of the create() method
+            index = Context.root_block.dependencies.index(self.load_input_event)
+            Context.root_block.dependencies.pop(index)
+            Context.root_block.fns.pop(index)
+
+            async def load_example(example_id):
+                processed_example = self.non_none_processed_examples[
+                    example_id
+                ] + await self.load_from_cache(example_id)
+                return utils.resolve_singleton(processed_example)
+
+            self.load_input_event = self.dataset.click(
+                load_example,
+                inputs=[self.dataset],
+                outputs=self.inputs_with_examples + self.outputs,  # type: ignore
+                show_progress="hidden",
+                postprocess=False,
+                queue=False,
+                api_name=self.api_name,  # type: ignore
+            )
+
             print("Caching complete\n")
 
     async def load_from_cache(self, example_id: int) -> list[Any]: