Add ability add a single message from the bot/user side

CHANGELOG.md

@@ -35,6 +35,12 @@ By [@freddyaboulton](https://github.com/freddyaboulton) in [PR 3157](https://git
 
 
 ## Bug Fixes:
+- Adds ability to add a single message from the bot or user side. Ex: specify `None` as the second value in the tuple, to add a single message in the chatbot from the "bot" side.
+
+```python
+gr.Chatbot([("Hi, I'm DialoGPT. Try asking me a question.", None)])
+```
+By [@dawoodkhan82](https://github.com/dawoodkhan82) in [PR 3165](https://github.com/gradio-app/gradio/pull/3165)
 * Fixes `gr.utils.delete_none` to only remove props whose values are `None` from the config by [@abidlabs](https://github.com/abidlabs) in [PR 3188](https://github.com/gradio-app/gradio/pull/3188) 
 * Fix bug where embedded demos were not loading files properly by [@freddyaboulton](https://github.com/freddyaboulton) in [PR 3177](https://github.com/gradio-app/gradio/pull/3177)
 * The `change` event is now triggered when users click the 'Clear All' button of the multiselect DropDown component by [@freddyaboulton](https://github.com/freddyaboulton) in [PR 3195](https://github.com/gradio-app/gradio/pull/3195)
@@ -107,7 +113,7 @@ By [@maxaudron](https://github.com/maxaudron) in [PR 3075](https://github.com/gr
 - Ensure the Video component correctly resets the UI state whe a new video source is loaded and reduce choppiness of UI by [@pngwn](https://github.com/abidlabs) in [PR 3117](https://github.com/gradio-app/gradio/pull/3117)
 - Fixes loading private Spaces by [@abidlabs](https://github.com/abidlabs) in [PR 3068](https://github.com/gradio-app/gradio/pull/3068) 
 - Added a warning when attempting to launch an `Interface` via the `%%blocks` jupyter notebook magic command by [@freddyaboulton](https://github.com/freddyaboulton) in [PR 3126](https://github.com/gradio-app/gradio/pull/3126)
-- Fixes bug where interactive output image cannot be set when in edit mode by [@dawoodkhan82](https://github.com/freddyaboulton) in [PR 3135](https://github.com/gradio-app/gradio/pull/3135)
+- Fixes bug where interactive output image cannot be set when in edit mode by [@dawoodkhan82](https://github.com/@dawoodkhan82) in [PR 3135](https://github.com/gradio-app/gradio/pull/3135)
 - A share link will automatically be created when running on Sagemaker notebooks so that the front-end is properly displayed by [@abidlabs](https://github.com/abidlabs) in [PR 3137](https://github.com/gradio-app/gradio/pull/3137) 
 - Fixes a few dropdown component issues; hide checkmark next to options as expected, and keyboard hover is visible by [@dawoodkhan82](https://github.com/dawoodkhan82) in [PR 3145]https://github.com/gradio-app/gradio/pull/3145)
 - Fixed bug where example pagination buttons were not visible in dark mode or displayed under the examples table. By [@freddyaboulton](https://github.com/freddyaboulton) in [PR 3144](https://github.com/gradio-app/gradio/pull/3144) 

demo/chatbot_demo/run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: chatbot_demo"]}, {"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", "from transformers import AutoModelForCausalLM, AutoTokenizer\n", "import torch\n", "\n", "tokenizer = AutoTokenizer.from_pretrained(\"microsoft/DialoGPT-medium\")\n", "model = AutoModelForCausalLM.from_pretrained(\"microsoft/DialoGPT-medium\")\n", "\n", "def predict(input, history=[]):\n", "    # tokenize the new input sentence\n", "    new_user_input_ids = tokenizer.encode(input + tokenizer.eos_token, return_tensors='pt')\n", "\n", "    # append the new user input tokens to the chat history\n", "    bot_input_ids = torch.cat([torch.LongTensor(history), new_user_input_ids], dim=-1)\n", "\n", "    # generate a response \n", "    history = model.generate(bot_input_ids, max_length=1000, pad_token_id=tokenizer.eos_token_id).tolist()\n", "\n", "    # convert the tokens to text, and then split the responses into lines\n", "    response = tokenizer.decode(history[0]).split(\"<|endoftext|>\")\n", "    response = [(response[i], response[i+1]) for i in range(0, len(response)-1, 2)]  # convert to tuples of list\n", "    return response, history\n", "\n", "with gr.Blocks() as demo:\n", "    chatbot = gr.Chatbot()\n", "    state = gr.State([])\n", "\n", "    with gr.Row():\n", "        txt = gr.Textbox(show_label=False, placeholder=\"Enter text and press enter\").style(container=False)\n", "            \n", "    txt.submit(predict, [txt, state], [chatbot, state])\n", "            \n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
+{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: chatbot_demo"]}, {"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", "from transformers import AutoModelForCausalLM, AutoTokenizer\n", "import torch\n", "\n", "tokenizer = AutoTokenizer.from_pretrained(\"microsoft/DialoGPT-medium\")\n", "model = AutoModelForCausalLM.from_pretrained(\"microsoft/DialoGPT-medium\")\n", "\n", "def predict(input, history=[]):\n", "    # tokenize the new input sentence\n", "    new_user_input_ids = tokenizer.encode(input + tokenizer.eos_token, return_tensors='pt')\n", "\n", "    # append the new user input tokens to the chat history\n", "    bot_input_ids = torch.cat([torch.LongTensor(history), new_user_input_ids], dim=-1)\n", "\n", "    # generate a response \n", "    history = model.generate(bot_input_ids, max_length=1000, pad_token_id=tokenizer.eos_token_id).tolist()\n", "\n", "    # convert the tokens to text, and then split the responses into lines\n", "    response = tokenizer.decode(history[0]).split(\"<|endoftext|>\")\n", "    response = [(response[i], response[i+1]) for i in range(0, len(response)-1, 2)]  # convert to tuples of list\n", "    return response, history\n", "\n", "with gr.Blocks() as demo:\n", "    chatbot = gr.Chatbot()\n", "    state = gr.State([])\n", "\n", "    with gr.Row():\n", "        txt = gr.Textbox(show_label=False, placeholder=\"Enter text and press enter\").style(container=False)\n", "\n", "    txt.submit(predict, [txt, state], [chatbot, state])\n", "            \n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

demo/chatbot_demo/run.py

@@ -26,7 +26,7 @@ def predict(input, history=[]):
 
     with gr.Row():
         txt = gr.Textbox(show_label=False, placeholder="Enter text and press enter").style(container=False)
-            
+
     txt.submit(predict, [txt, state], [chatbot, state])
 
 if __name__ == "__main__":

gradio/components.py

@@ -3863,12 +3863,12 @@ class Chatbot(Changeable, IOComponent, JSONSerializable):
     Preprocessing: this component does *not* accept input.
     Postprocessing: expects a {List[Tuple[str, str]]}, a list of tuples with user inputs and responses as strings of HTML.
 
-    Demos: chatbot_demo
+    Demos: chatbot_demo, chatbot_multimodal
     """
 
     def __init__(
         self,
-        value: List[Tuple[str, str]] | Callable | None = None,
+        value: List[Tuple[str | None, str | None]] | Callable | None = None,
         color_map: Dict[str, str] | None = None,  # Parameter moved to Chatbot.style()
         *,
         label: str | None = None,
@@ -3930,7 +3930,9 @@ def update(
         }
         return updated_config
 
-    def postprocess(self, y: List[Tuple[str, str]]) -> List[Tuple[str, str]]:
+    def postprocess(
+        self, y: List[Tuple[str | None, str | None]]
+    ) -> List[Tuple[str | None, str | None]]:
         """
         Parameters:
             y: List of tuples representing the message and response pairs. Each message and response should be a string, which may be in Markdown format.
@@ -3940,7 +3942,10 @@ def postprocess(self, y: List[Tuple[str, str]]) -> List[Tuple[str, str]]:
         if y is None:
             return []
         for i, (message, response) in enumerate(y):
-            y[i] = (self.md.renderInline(message), self.md.renderInline(response))
+            y[i] = (
+                None if message is None else self.md.renderInline(message),
+                None if response is None else self.md.renderInline(response),
+            )
         return y
 
     def style(self, *, color_map: Tuple[str, str] | None = None, **kwargs):

scripts/copy_demos.py

@@ -17,6 +17,7 @@ def copy_all_demos(source_dir: str, dest_dir: str):
         "blocks_update",
         "calculator",
         "cancel_events",
+        "chatbot_multimodal",
         "fake_gan",
         "fake_diffusion_with_gif",
         "gender_sentence_default_interpretation",

ui/packages/app/src/components/Chatbot/Chatbot.svelte

@@ -7,7 +7,7 @@
 
 	export let elem_id: string = "";
 	export let visible: boolean = true;
-	export let value: Array<[string, string]> = [];
+	export let value: Array<[string | null, string | null]> = [];
 	export let style: Styles = {};
 	export let label: string;
 	export let show_label: boolean = true;
@@ -20,7 +20,7 @@
 	export let loading_status: LoadingStatus | undefined;
 </script>
 
-<Block padding={false} {elem_id} {visible}>
+<Block {elem_id} {visible}>
 	{#if show_label}
 		<BlockLabel
 			{show_label}

ui/packages/chatbot/src/ChatBot.svelte

@@ -3,8 +3,8 @@
 	import { colors } from "@gradio/theme";
 	import type { Styles } from "@gradio/utils";
 
-	export let value: Array<[string, string]> | null;
-	let old_value: Array<[string, string]> | null;
+	export let value: Array<[string | null, string | null]> | null;
+	let old_value: Array<[string | null, string | null]> | null;
 	export let style: Styles = {};
 	export let pending_message: boolean = false;
 
@@ -63,6 +63,7 @@
 				data-testid="user"
 				class:latest={i === _value.length - 1}
 				class="message user"
+				class:hide={message[0] === null}
 				style={"background-color:" + _colors[0]}
 			>
 				{@html message[0]}
@@ -71,6 +72,7 @@
 				data-testid="bot"
 				class:latest={i === _value.length - 1}
 				class="message bot"
+				class:hide={message[1] === null}
 				style={"background-color:" + _colors[1]}
 			>
 				{@html message[1]}
@@ -94,7 +96,7 @@
 
 <style>
 	.wrap {
-		height: var(--size-80);
+		height: 100%;
 		overflow-y: auto;
 	}
 
@@ -183,4 +185,8 @@
 			opacity: 0.8;
 		}
 	}
+
+	.hide {
+		visibility: hidden;
+	}
 </style>