aliabd HF staff commited on
Commit
ab104ea
1 Parent(s): 8fcfdf9

Upload folder using huggingface_hub

Browse files
Files changed (3) hide show
  1. README.md +1 -1
  2. run.ipynb +1 -1
  3. run.py +7 -0
README.md CHANGED
@@ -5,7 +5,7 @@ emoji: 🔥
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  colorFrom: indigo
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  colorTo: indigo
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  sdk: gradio
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- sdk_version: 4.7.1
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  app_file: run.py
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  pinned: false
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  hf_oauth: true
 
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  colorFrom: indigo
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  colorTo: indigo
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  sdk: gradio
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+ sdk_version: 4.8.0
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  app_file: run.py
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  pinned: false
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  hf_oauth: true
run.ipynb CHANGED
@@ -1 +1 @@
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- {"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/avatar.png"]}, {"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 add_text(history, text):\n", " history = history + [(text, None)]\n", " return history, gr.Textbox(value=\"\", interactive=False)\n", "\n", "\n", "def add_file(history, file):\n", " history = history + [((file.name,), None)]\n", " return history\n", "\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", " avatar_images=(None, (os.path.join(os.path.abspath(''), \"avatar.png\"))),\n", " )\n", "\n", " with gr.Row():\n", " txt = gr.Textbox(\n", " scale=4,\n", " show_label=False,\n", " placeholder=\"Enter text and press enter, or upload an image\",\n", " container=False,\n", " )\n", " btn = gr.UploadButton(\"\ud83d\udcc1\", file_types=[\"image\", \"video\", \"audio\"])\n", "\n", " txt_msg = txt.submit(add_text, [chatbot, txt], [chatbot, txt], queue=False).then(\n", " bot, chatbot, chatbot, api_name=\"bot_response\"\n", " )\n", " txt_msg.then(lambda: gr.Textbox(interactive=True), None, [txt], queue=False)\n", " file_msg = btn.upload(add_file, [chatbot, btn], [chatbot], queue=False).then(\n", " bot, chatbot, chatbot\n", " )\n", "\n", "demo.queue()\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
 
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+ {"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/avatar.png"]}, {"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", "\n", "def add_text(history, text):\n", " history = history + [(text, None)]\n", " return history, gr.Textbox(value=\"\", interactive=False)\n", "\n", "\n", "def add_file(history, file):\n", " history = history + [((file.name,), None)]\n", " return history\n", "\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", " avatar_images=(None, (os.path.join(os.path.abspath(''), \"avatar.png\"))),\n", " )\n", "\n", " with gr.Row():\n", " txt = gr.Textbox(\n", " scale=4,\n", " show_label=False,\n", " placeholder=\"Enter text and press enter, or upload an image\",\n", " container=False,\n", " )\n", " btn = gr.UploadButton(\"\ud83d\udcc1\", file_types=[\"image\", \"video\", \"audio\"])\n", "\n", " txt_msg = txt.submit(add_text, [chatbot, txt], [chatbot, txt], queue=False).then(\n", " bot, chatbot, chatbot, api_name=\"bot_response\"\n", " )\n", " txt_msg.then(lambda: gr.Textbox(interactive=True), None, [txt], queue=False)\n", " file_msg = btn.upload(add_file, [chatbot, btn], [chatbot], queue=False).then(\n", " bot, chatbot, chatbot\n", " )\n", "\n", " chatbot.like(print_like_dislike, None, None)\n", "\n", "\n", "demo.queue()\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
run.py CHANGED
@@ -5,6 +5,10 @@ import time
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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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  def add_text(history, text):
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  history = history + [(text, None)]
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  return history, gr.Textbox(value="", interactive=False)
@@ -49,6 +53,9 @@ with gr.Blocks() as demo:
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  bot, chatbot, chatbot
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  )
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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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+ 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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+
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  def add_text(history, text):
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  history = history + [(text, None)]
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  return history, gr.Textbox(value="", interactive=False)
 
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  bot, chatbot, chatbot
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  )
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+ chatbot.like(print_like_dislike, None, None)
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+
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+
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  demo.queue()
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  if __name__ == "__main__":
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  demo.launch()