Ai Pr branch

README.md

@@ -5,7 +5,7 @@ emoji: 🔥
 colorFrom: indigo
 colorTo: indigo
 sdk: gradio
-sdk_version: 5.11.0
+sdk_version: 4.24.0
 app_file: run.py
 pinned: false
 hf_oauth: true

messages_testcase.py

@@ -1,43 +0,0 @@
-import gradio as gr
-import time
-
-# Chatbot demo with multimodal input (text, markdown, LaTeX, code blocks, image, audio, & video). Plus shows support for streaming text.
-
-def print_like_dislike(x: gr.LikeData):
-    print(x.index, x.value, x.liked)
-
-def add_message(history, message):
-    for x in message["files"]:
-        history.append({"role": "user", "content": {"path": x}})
-    if message["text"] is not None:
-        history.append({"role": "user", "content": message["text"]})
-    return history, gr.MultimodalTextbox(value=None, interactive=False)
-
-def bot(history: list):
-    response = "**That's cool!**"
-    history.append({"role": "assistant", "content": ""})
-    for character in response:
-        history[-1]['content'] += character
-        time.sleep(0.05)
-        yield history
-
-with gr.Blocks() as demo:
-    chatbot = gr.Chatbot(
-        [],
-        elem_id="chatbot",
-        bubble_full_width=False,
-        type="messages"
-    )
-
-    chat_input = gr.MultimodalTextbox(interactive=True,
-                                      file_count="multiple",
-                                      placeholder="Enter message or upload file...", show_label=False)
-
-    chat_msg = chat_input.submit(add_message, [chatbot, chat_input], [chatbot, chat_input])
-    bot_msg = chat_msg.then(bot, chatbot, chatbot, api_name="bot_response")
-    bot_msg.then(lambda: gr.MultimodalTextbox(interactive=True), None, [chat_input])
-
-    chatbot.like(print_like_dislike, None, None)
-
-if __name__ == "__main__":
-    demo.launch()

requirements.txt

@@ -1 +0,0 @@
-plotly

run.ipynb

@@ -1 +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": ["# Downloading files from the demo repo\n", "import os\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/chatbot_multimodal/tuples_testcase.py"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import time\n", "\n", "# Chatbot demo with multimodal input (text, markdown, LaTeX, code blocks, image, audio, & video). Plus shows support for streaming text.\n", "\n", "\n", "def print_like_dislike(x: gr.LikeData):\n", "    print(x.index, x.value, x.liked)\n", "\n", "\n", "def add_message(history, message):\n", "    for x in message[\"files\"]:\n", "        history.append({\"role\": \"user\", \"content\": {\"path\": x}})\n", "    if message[\"text\"] is not None:\n", "        history.append({\"role\": \"user\", \"content\": message[\"text\"]})\n", "    return history, gr.MultimodalTextbox(value=None, interactive=False)\n", "\n", "\n", "def bot(history: list):\n", "    response = \"**That's cool!**\"\n", "    history.append({\"role\": \"assistant\", \"content\": \"\"})\n", "    for character in response:\n", "        history[-1][\"content\"] += character\n", "        time.sleep(0.05)\n", "        yield history\n", "\n", "\n", "with gr.Blocks() as demo:\n", "    chatbot = gr.Chatbot(elem_id=\"chatbot\", bubble_full_width=False, type=\"messages\")\n", "\n", "    chat_input = gr.MultimodalTextbox(\n", "        interactive=True,\n", "        file_count=\"multiple\",\n", "        placeholder=\"Enter message or upload file...\",\n", "        show_label=False,\n", "        sources=[\"microphone\", \"upload\"],\n", "    )\n", "\n", "    chat_msg = chat_input.submit(\n", "        add_message, [chatbot, chat_input], [chatbot, chat_input]\n", "    )\n", "    bot_msg = chat_msg.then(bot, chatbot, chatbot, api_name=\"bot_response\")\n", "    bot_msg.then(lambda: gr.MultimodalTextbox(interactive=True), None, [chat_input])\n", "\n", "    chatbot.like(print_like_dislike, None, None, like_user_message=True)\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_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": ["# Downloading files from the demo repo\n", "import os\n", "os.mkdir('files')\n", "!wget -q -O files/avatar.png https://github.com/gradio-app/gradio/raw/main/demo/chatbot_multimodal/files/avatar.png\n", "!wget -q -O files/lion.jpg https://github.com/gradio-app/gradio/raw/main/demo/chatbot_multimodal/files/lion.jpg"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import os\n", "import time\n", "\n", "# Chatbot demo with multimodal input (text, markdown, LaTeX, code blocks, image, audio, & video). Plus shows support for streaming text.\n", "\n", "\n", "def print_like_dislike(x: gr.LikeData):\n", "    print(x.index, x.value, x.liked)\n", "\n", "def add_message(history, message):\n", "    for x in message[\"files\"]:\n", "        history.append(((x,), None))\n", "    if message[\"text\"] is not None:\n", "        history.append((message[\"text\"], None))\n", "    return history, gr.MultimodalTextbox(value=None, interactive=False)\n", "\n", "def bot(history):\n", "    response = \"**That's cool!**\"\n", "    history[-1][1] = \"\"\n", "    for character in response:\n", "        history[-1][1] += character\n", "        time.sleep(0.05)\n", "        yield history\n", "\n", "\n", "with gr.Blocks() as demo:\n", "    chatbot = gr.Chatbot(\n", "        [],\n", "        elem_id=\"chatbot\",\n", "        bubble_full_width=False,\n", "    )\n", "\n", "    chat_input = gr.MultimodalTextbox(interactive=True, file_types=[\"image\"], placeholder=\"Enter message or upload file...\", show_label=False)\n", "\n", "    chat_msg = chat_input.submit(add_message, [chatbot, chat_input], [chatbot, chat_input])\n", "    bot_msg = chat_msg.then(bot, chatbot, chatbot, api_name=\"bot_response\")\n", "    bot_msg.then(lambda: gr.MultimodalTextbox(interactive=True), None, [chat_input])\n", "\n", "    chatbot.like(print_like_dislike, None, None)\n", "\n", "demo.queue()\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -1,4 +1,5 @@
 import gradio as gr
+import os
 import time
 
 # Chatbot demo with multimodal input (text, markdown, LaTeX, code blocks, image, audio, & video). Plus shows support for streaming text.
@@ -7,42 +8,37 @@ import time
 def print_like_dislike(x: gr.LikeData):
     print(x.index, x.value, x.liked)
 
-
 def add_message(history, message):
     for x in message["files"]:
-        history.append({"role": "user", "content": {"path": x}})
+        history.append(((x,), None))
     if message["text"] is not None:
-        history.append({"role": "user", "content": message["text"]})
+        history.append((message["text"], None))
     return history, gr.MultimodalTextbox(value=None, interactive=False)
 
-
-def bot(history: list):
+def bot(history):
     response = "**That's cool!**"
-    history.append({"role": "assistant", "content": ""})
+    history[-1][1] = ""
     for character in response:
-        history[-1]["content"] += character
+        history[-1][1] += character
         time.sleep(0.05)
         yield history
 
 
 with gr.Blocks() as demo:
-    chatbot = gr.Chatbot(elem_id="chatbot", bubble_full_width=False, type="messages")
-
-    chat_input = gr.MultimodalTextbox(
-        interactive=True,
-        file_count="multiple",
-        placeholder="Enter message or upload file...",
-        show_label=False,
-        sources=["microphone", "upload"],
+    chatbot = gr.Chatbot(
+        [],
+        elem_id="chatbot",
+        bubble_full_width=False,
     )
 
-    chat_msg = chat_input.submit(
-        add_message, [chatbot, chat_input], [chatbot, chat_input]
-    )
+    chat_input = gr.MultimodalTextbox(interactive=True, file_types=["image"], placeholder="Enter message or upload file...", show_label=False)
+
+    chat_msg = chat_input.submit(add_message, [chatbot, chat_input], [chatbot, chat_input])
     bot_msg = chat_msg.then(bot, chatbot, chatbot, api_name="bot_response")
     bot_msg.then(lambda: gr.MultimodalTextbox(interactive=True), None, [chat_input])
 
-    chatbot.like(print_like_dislike, None, None, like_user_message=True)
+    chatbot.like(print_like_dislike, None, None)
 
+demo.queue()
 if __name__ == "__main__":
     demo.launch()

tuples_testcase.py

@@ -1,46 +0,0 @@
-import gradio as gr
-import plotly.express as px
-
-# Chatbot demo with multimodal input (text, markdown, LaTeX, code blocks, image, audio, & video). Plus shows support for streaming text.
-
-def random_plot():
-    df = px.data.iris()
-    fig = px.scatter(df, x="sepal_width", y="sepal_length", color="species",
-                    size='petal_length', hover_data=['petal_width'])
-    return fig
-
-def print_like_dislike(x: gr.LikeData):
-    print(x.index, x.value, x.liked)
-
-def add_message(history, message):
-    for x in message["files"]:
-        history.append(((x,), None))
-    if message["text"] is not None:
-        history.append((message["text"], None))
-    return history, gr.MultimodalTextbox(value=None, interactive=False)
-
-def bot(history):
-    history[-1][1] = "Cool!"
-    return history
-
-fig = random_plot()
-
-with gr.Blocks(fill_height=True) as demo:
-    chatbot = gr.Chatbot(
-        elem_id="chatbot",
-        bubble_full_width=False,
-        scale=1,
-    )
-
-    chat_input = gr.MultimodalTextbox(interactive=True,
-                                      file_count="multiple",
-                                      placeholder="Enter message or upload file...", show_label=False)
-
-    chat_msg = chat_input.submit(add_message, [chatbot, chat_input], [chatbot, chat_input])
-    bot_msg = chat_msg.then(bot, chatbot, chatbot, api_name="bot_response")
-    bot_msg.then(lambda: gr.MultimodalTextbox(interactive=True), None, [chat_input])
-
-    chatbot.like(print_like_dislike, None, None)
-
-if __name__ == "__main__":
-    demo.launch()