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Browse files- README.md +1 -1
- run.ipynb +1 -1
- run.py +1 -2
- testcase_messages.py +28 -0
README.md
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@@ -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.
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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: 4.38.0
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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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run.ipynb
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: chatbot_streaming"]}, {"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", "import random\n", "import time\n", "\n", "with gr.Blocks() as demo:\n", " chatbot = gr.Chatbot()\n", " msg = gr.Textbox()\n", " clear = gr.Button(\"Clear\")\n", "\n", " def user(user_message, history):\n", " return \"\", history + [[user_message, None]]\n", "\n", " def bot(history):\n", " bot_message = random.choice([\"How are you?\", \"I love you\", \"I'm very hungry\"])\n", " history[-1][1] = \"\"\n", " for character in bot_message:\n", " history[-1][1] += character\n", " time.sleep(0.05)\n", " yield history\n", "\n", " msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(\n", " bot, chatbot, chatbot\n", " )\n", " clear.click(lambda: None, None, chatbot, queue=False)\n", "
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: chatbot_streaming"]}, {"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_streaming/testcase_messages.py"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import random\n", "import time\n", "\n", "with gr.Blocks() as demo:\n", " chatbot = gr.Chatbot()\n", " msg = gr.Textbox()\n", " clear = gr.Button(\"Clear\")\n", "\n", " def user(user_message, history):\n", " return \"\", history + [[user_message, None]]\n", "\n", " def bot(history):\n", " bot_message = random.choice([\"How are you?\", \"I love you\", \"I'm very hungry\"])\n", " history[-1][1] = \"\"\n", " for character in bot_message:\n", " history[-1][1] += character\n", " time.sleep(0.05)\n", " yield history\n", "\n", " msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(\n", " bot, chatbot, chatbot\n", " )\n", " clear.click(lambda: None, None, chatbot, queue=False)\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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@@ -22,7 +22,6 @@ with gr.Blocks() as demo:
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bot, chatbot, chatbot
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)
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clear.click(lambda: None, None, chatbot, queue=False)
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demo.queue()
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if __name__ == "__main__":
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demo.launch()
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bot, chatbot, chatbot
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)
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clear.click(lambda: None, None, chatbot, queue=False)
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if __name__ == "__main__":
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demo.launch()
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testcase_messages.py
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import gradio as gr
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import random
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import time
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with gr.Blocks() as demo:
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chatbot = gr.Chatbot(type="messages")
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msg = gr.Textbox()
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clear = gr.Button("Clear")
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def user(user_message, history: list):
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return "", history + [{"role": "user", "content": user_message}]
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def bot(history: list):
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bot_message = random.choice(["How are you?", "I love you", "I'm very hungry"])
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history.append({"role": "assistant", "content": ""})
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for character in bot_message:
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history[-1]['content'] += character
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time.sleep(0.05)
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yield history
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msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(
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bot, chatbot, chatbot
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)
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clear.click(lambda: None, None, chatbot, queue=False)
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if __name__ == "__main__":
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demo.launch()
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