Upload folder using huggingface_hub
Browse files- messages_testcase.py +0 -3
- requirements.txt +2 -2
- run.ipynb +1 -1
- run.py +0 -8
messages_testcase.py
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@@ -3,7 +3,6 @@ import random
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# Chatbot demo with multimodal input (text, markdown, LaTeX, code blocks, image, audio, & video). Plus shows support for streaming text.
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-
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color_map = {
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"harmful": "crimson",
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"neutral": "gray",
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@@ -59,7 +58,6 @@ def bot(history, response_type):
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history.append(msg)
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return history
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-
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with gr.Blocks(fill_height=True) as demo:
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chatbot = gr.Chatbot(
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elem_id="chatbot",
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@@ -96,6 +94,5 @@ with gr.Blocks(fill_height=True) as demo:
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chatbot.like(print_like_dislike, None, None)
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demo.queue()
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if __name__ == "__main__":
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demo.launch()
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# Chatbot demo with multimodal input (text, markdown, LaTeX, code blocks, image, audio, & video). Plus shows support for streaming text.
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color_map = {
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"harmful": "crimson",
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"neutral": "gray",
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history.append(msg)
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return history
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with gr.Blocks(fill_height=True) as demo:
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chatbot = gr.Chatbot(
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elem_id="chatbot",
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chatbot.like(print_like_dislike, None, None)
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if __name__ == "__main__":
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demo.launch()
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requirements.txt
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gradio-client @ git+https://github.com/gradio-app/gradio@
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https://gradio-builds.s3.amazonaws.com/
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+
gradio-client @ git+https://github.com/gradio-app/gradio@9b42ba8f1006c05d60a62450d3036ce0d6784f86#subdirectory=client/python
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https://gradio-builds.s3.amazonaws.com/9b42ba8f1006c05d60a62450d3036ce0d6784f86/gradio-4.39.0-py3-none-any.whl
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run.ipynb
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@@ -1 +1 @@
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: chatbot_core_components_simple"]}, {"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/audio.wav https://github.com/gradio-app/gradio/raw/main/demo/chatbot_core_components_simple/files/audio.wav\n", "!wget -q -O files/avatar.png https://github.com/gradio-app/gradio/raw/main/demo/chatbot_core_components_simple/files/avatar.png\n", "!wget -q -O files/sample.txt https://github.com/gradio-app/gradio/raw/main/demo/chatbot_core_components_simple/files/sample.txt\n", "!wget -q -O files/world.mp4 https://github.com/gradio-app/gradio/raw/main/demo/chatbot_core_components_simple/files/world.mp4\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/chatbot_core_components_simple/messages_testcase.py"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: chatbot_core_components_simple"]}, {"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/audio.wav https://github.com/gradio-app/gradio/raw/main/demo/chatbot_core_components_simple/files/audio.wav\n", "!wget -q -O files/avatar.png https://github.com/gradio-app/gradio/raw/main/demo/chatbot_core_components_simple/files/avatar.png\n", "!wget -q -O files/sample.txt https://github.com/gradio-app/gradio/raw/main/demo/chatbot_core_components_simple/files/sample.txt\n", "!wget -q -O files/world.mp4 https://github.com/gradio-app/gradio/raw/main/demo/chatbot_core_components_simple/files/world.mp4\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/chatbot_core_components_simple/messages_testcase.py"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import random\n", "\n", "# Chatbot demo with multimodal input (text, markdown, LaTeX, code blocks, image, audio, & video). Plus shows support for streaming text.\n", "\n", "color_map = {\n", " \"harmful\": \"crimson\",\n", " \"neutral\": \"gray\",\n", " \"beneficial\": \"green\",\n", "}\n", "\n", "def html_src(harm_level):\n", " return f\"\"\"\n", "<div style=\"display: flex; gap: 5px;\">\n", " <div style=\"background-color: {color_map[harm_level]}; padding: 2px; border-radius: 5px;\">\n", " {harm_level}\n", " </div>\n", "</div>\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, response_type):\n", " if response_type == \"gallery\":\n", " history[-1][1] = gr.Gallery(\n", " [\n", " \"https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png\",\n", " \"https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png\",\n", " ]\n", " )\n", " elif response_type == \"image\":\n", " history[-1][1] = gr.Image(\n", " \"https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png\"\n", " )\n", " elif response_type == \"video\":\n", " history[-1][1] = gr.Video(\n", " \"https://github.com/gradio-app/gradio/raw/main/demo/video_component/files/world.mp4\"\n", " )\n", " elif response_type == \"audio\":\n", " history[-1][1] = gr.Audio(\n", " \"https://github.com/gradio-app/gradio/raw/main/test/test_files/audio_sample.wav\"\n", " )\n", " elif response_type == \"html\":\n", " history[-1][1] = gr.HTML(\n", " html_src(random.choice([\"harmful\", \"neutral\", \"beneficial\"]))\n", " )\n", " else:\n", " history[-1][1] = \"Cool!\"\n", " return history\n", "\n", "with gr.Blocks(fill_height=True) as demo:\n", " chatbot = gr.Chatbot(\n", " elem_id=\"chatbot\",\n", " bubble_full_width=False,\n", " scale=1,\n", " )\n", " response_type = gr.Radio(\n", " [\n", " \"image\",\n", " \"text\",\n", " \"gallery\",\n", " \"video\",\n", " \"audio\",\n", " \"html\",\n", " ],\n", " value=\"text\",\n", " label=\"Response Type\",\n", " )\n", "\n", " chat_input = gr.MultimodalTextbox(\n", " interactive=True,\n", " placeholder=\"Enter message or upload file...\",\n", " show_label=False,\n", " )\n", "\n", " chat_msg = chat_input.submit(\n", " add_message, [chatbot, chat_input], [chatbot, chat_input]\n", " )\n", " bot_msg = chat_msg.then(\n", " bot, [chatbot, response_type], chatbot, api_name=\"bot_response\"\n", " )\n", " bot_msg.then(lambda: gr.MultimodalTextbox(interactive=True), None, [chat_input])\n", "\n", " chatbot.like(print_like_dislike, None, None)\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
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run.py
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import gradio as gr
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import os
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import random
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# Chatbot demo with multimodal input (text, markdown, LaTeX, code blocks, image, audio, & video). Plus shows support for streaming text.
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-
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color_map = {
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"harmful": "crimson",
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"neutral": "gray",
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"beneficial": "green",
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}
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-
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def html_src(harm_level):
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return f"""
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<div style="display: flex; gap: 5px;">
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</div>
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"""
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def print_like_dislike(x: gr.LikeData):
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print(x.index, x.value, x.liked)
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-
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def add_message(history, message):
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for x in message["files"]:
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history.append(((x,), None))
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history.append((message["text"], None))
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return history, gr.MultimodalTextbox(value=None, interactive=False)
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-
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def bot(history, response_type):
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if response_type == "gallery":
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history[-1][1] = gr.Gallery(
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history[-1][1] = "Cool!"
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return history
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-
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with gr.Blocks(fill_height=True) as demo:
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chatbot = gr.Chatbot(
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elem_id="chatbot",
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chatbot.like(print_like_dislike, None, None)
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demo.queue()
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if __name__ == "__main__":
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demo.launch()
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import gradio as gr
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import random
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# Chatbot demo with multimodal input (text, markdown, LaTeX, code blocks, image, audio, & video). Plus shows support for streaming text.
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color_map = {
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"harmful": "crimson",
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"neutral": "gray",
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"beneficial": "green",
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}
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def html_src(harm_level):
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return f"""
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<div style="display: flex; gap: 5px;">
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</div>
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"""
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def print_like_dislike(x: gr.LikeData):
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print(x.index, x.value, x.liked)
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def add_message(history, message):
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for x in message["files"]:
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history.append(((x,), None))
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history.append((message["text"], None))
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return history, gr.MultimodalTextbox(value=None, interactive=False)
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def bot(history, response_type):
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if response_type == "gallery":
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history[-1][1] = gr.Gallery(
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history[-1][1] = "Cool!"
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return history
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with gr.Blocks(fill_height=True) as demo:
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chatbot = gr.Chatbot(
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elem_id="chatbot",
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chatbot.like(print_like_dislike, None, None)
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if __name__ == "__main__":
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demo.launch()
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