Add Markdown support in chatbots

CHANGELOG.md

@@ -1,7 +1,28 @@
 # Upcoming Release
 
 ## New Features:
-No changes to highlight.
+
+### The `Chatbot` component now supports Markdown/HTML
+
+You can now pass in Markdown or HTML to the Chatbot component and it will show up, 
+meaning that you can pass in images, videos, or audio files as well! by [@abidlabs](https://github.com/abidlabs) in [PR 2731](https://github.com/gradio-app/gradio/pull/2731) 
+
+Here's a simple example that references a local image `lion.jpg` that is in the same
+folder as the Python script:
+
+```py
+import gradio as gr
+
+with gr.Blocks() as demo:
+    gr.Chatbot([("hi", "hello **abubakar**"), ("![](/file=lion.jpg)", "cool pic")])
+
+demo.launch()
+```
+
+![Alt text](https://user-images.githubusercontent.com/1778297/204357455-5c1a4002-eee7-479d-9a1e-ba2c12522723.png)
+
+To see a more realistic example, see the new demo `/demo/chatbot_multimodal/run.py`.
+
 
 ## Bug Fixes:
 * Fixed bug where requests timeout is missing from utils.version_check() by [@yujiehecs](https://github.com/yujiehecs) in [PR 2729](https://github.com/gradio-app/gradio/pull/2729)

demo/chatbot_multimodal/run.ipynb

@@ -0,0 +1 @@
+{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: chatbot_multimodal"]}, {"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", "\n", "def add_text(state, text):\n", "    state = state + [(text, text + \"?\")]\n", "    return state, state\n", "\n", "def add_image(state, image):\n", "    state = state + [(f\"![](/file={image.name})\", \"Cool pic!\")]\n", "    return state, state\n", "\n", "\n", "with gr.Blocks(css=\"#chatbot .overflow-y-auto{height:500px}\") as demo:\n", "    chatbot = gr.Chatbot(elem_id=\"chatbot\")\n", "    state = gr.State([])\n", "    \n", "    with gr.Row():\n", "        with gr.Column(scale=0.85):\n", "            txt = gr.Textbox(show_label=False, placeholder=\"Enter text and press enter, or upload an image\").style(container=False)\n", "        with gr.Column(scale=0.15, min_width=0):\n", "            btn = gr.UploadButton(\"\ud83d\uddbc\ufe0f\", file_types=[\"image\"])\n", "            \n", "    txt.submit(add_text, [state, txt], [state, chatbot])\n", "    txt.submit(lambda :\"\", None, txt)\n", "    btn.upload(add_image, [state, btn], [state, chatbot])\n", "            \n", "if __name__ == \"__main__\":\n", "    demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

demo/chatbot_multimodal/run.py

@@ -0,0 +1,27 @@
+import gradio as gr
+
+def add_text(state, text):
+    state = state + [(text, text + "?")]
+    return state, state
+
+def add_image(state, image):
+    state = state + [(f"![](/file={image.name})", "Cool pic!")]
+    return state, state
+
+
+with gr.Blocks(css="#chatbot .overflow-y-auto{height:500px}") as demo:
+    chatbot = gr.Chatbot(elem_id="chatbot")
+    state = gr.State([])
+
+    with gr.Row():
+        with gr.Column(scale=0.85):
+            txt = gr.Textbox(show_label=False, placeholder="Enter text and press enter, or upload an image").style(container=False)
+        with gr.Column(scale=0.15, min_width=0):
+            btn = gr.UploadButton("🖼️", file_types=["image"])
+
+    txt.submit(add_text, [state, txt], [state, chatbot])
+    txt.submit(lambda :"", None, txt)
+    btn.upload(add_image, [state, btn], [state, chatbot])
+
+if __name__ == "__main__":
+    demo.launch()

gradio/components.py

@@ -2857,11 +2857,13 @@ def process_single_file(f):
             )
             if self.type == "file":
                 if is_file:
-                    file = processing_utils.create_tmp_copy_of_file(file_name)
+                    file = processing_utils.create_tmp_copy_of_file(
+                        file_name, dir=self.temp_dir
+                    )
                     file.orig_name = file_name
                 else:
                     file = processing_utils.decode_base64_to_file(
-                        data, file_path=file_name
+                        data, file_path=file_name, dir=self.temp_dir
                     )
                     file.orig_name = file_name
                 return file
@@ -3610,9 +3612,9 @@ def __init__(
 @document("change", "style")
 class Chatbot(Changeable, IOComponent, JSONSerializable):
     """
-    Displays a chatbot output showing both user submitted messages and responses
+    Displays a chatbot output showing both user submitted messages and responses. Supports Markdown formatting.
     Preprocessing: this component does *not* accept input.
-    Postprocessing: expects a {List[Tuple[str, str]]}, a list of tuples with user inputs and responses.
+    Postprocessing: expects a {List[Tuple[str, str]]}, a list of tuples with user inputs and responses as strings, which support Markdown formatting.
 
     Demos: chatbot_demo
     """
@@ -3641,6 +3643,7 @@ def __init__(
                 "The 'color_map' parameter has been moved from the constructor to `Chatbot.style()` ",
             )
         self.color_map = color_map
+        self.md = MarkdownIt()
 
         IOComponent.__init__(
             self,
@@ -3680,11 +3683,15 @@ def update(
     def postprocess(self, y: List[Tuple[str, str]]) -> List[Tuple[str, str]]:
         """
         Parameters:
-            y: List of tuples representing the message and response
+            y: List of tuples representing the message and response pairs. Each message and response should be a string, which may be in Markdown format.
         Returns:
-            List of tuples representing the message and response
+            List of tuples representing the message and response. Each message and response will be a string, rendered as HTML.
         """
-        return [] if y is None else y
+        if y is None:
+            return []
+        for i, (message, response) in enumerate(y):
+            y[i] = (self.md.render(message), self.md.render(response))
+        return y
 
     def style(self, *, color_map: Optional[List[str, str]] = None, **kwargs):
         """

test/test_components.py

@@ -1479,6 +1479,29 @@ def highlight_vowels(sentence):
             ]
 
 
+class TestChatbot:
+    def test_component_functions(self):
+        """
+        Postprocess, get_config
+        """
+        chatbot = gr.Chatbot()
+        assert chatbot.postprocess([("You are **cool**", "so are *you*")]) == [
+            ("<p>You are <strong>cool</strong></p>\n", "<p>so are <em>you</em></p>\n")
+        ]
+        assert chatbot.get_config() == {
+            "value": [],
+            "color_map": None,
+            "label": None,
+            "show_label": True,
+            "interactive": None,
+            "name": "chatbot",
+            "visible": True,
+            "elem_id": None,
+            "style": {},
+            "root_url": None,
+        }
+
+
 class TestJSON:
     def test_component_functions(self):
         """

ui/packages/chatbot/src/ChatBot.svelte

@@ -49,14 +49,14 @@
 				class="px-3 py-2 rounded-[22px] rounded-br-none text-white text-sm"
 				style={"background-color:" + _colors[0]}
 			>
-				{message[0]}
+				{@html message[0]}
 			</div>
 			<div
 				data-testid="bot"
 				class="px-3 py-2 rounded-[22px] rounded-bl-none place-self-start text-white text-sm"
 				style={"background-color:" + _colors[1]}
 			>
-				{message[1]}
+				{@html message[1]}
 			</div>
 		{/each}
 	</div>