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Browse files- requirements.txt +2 -2
- run.ipynb +1 -1
- run.py +0 -3
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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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: chatbot_with_tools"]}, {"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", "from gradio import ChatMessage\n", "import time\n", "\n", "
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: chatbot_with_tools"]}, {"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", "from gradio import ChatMessage\n", "import time\n", "\n", "def generate_response(history):\n", " history.append(\n", " ChatMessage(\n", " role=\"user\", content=\"What is the weather in San Francisco right now?\"\n", " )\n", " )\n", " yield history\n", " time.sleep(0.25)\n", " history.append(\n", " ChatMessage(\n", " role=\"assistant\",\n", " content=\"In order to find the current weather in San Francisco, I will need to use my weather tool.\",\n", " )\n", " )\n", " yield history\n", " time.sleep(0.25)\n", "\n", " history.append(\n", " ChatMessage(\n", " role=\"assistant\",\n", " content=\"API Error when connecting to weather service.\",\n", " metadata={\"title\": \"\ud83d\udca5 Error using tool 'Weather'\"},\n", " )\n", " )\n", " yield history\n", " time.sleep(0.25)\n", "\n", " history.append(\n", " ChatMessage(\n", " role=\"assistant\",\n", " content=\"I will try again\",\n", " )\n", " )\n", " yield history\n", " time.sleep(0.25)\n", "\n", " history.append(\n", " ChatMessage(\n", " role=\"assistant\",\n", " content=\"Weather 72 degrees Fahrenheit with 20% chance of rain.\",\n", " metadata={\"title\": \"\ud83d\udee0\ufe0f Used tool 'Weather'\"},\n", " )\n", " )\n", " yield history\n", " time.sleep(0.25)\n", "\n", " history.append(\n", " ChatMessage(\n", " role=\"assistant\",\n", " content=\"Now that the API succeeded I can complete my task.\",\n", " )\n", " )\n", " yield history\n", " time.sleep(0.25)\n", "\n", " history.append(\n", " ChatMessage(\n", " role=\"assistant\",\n", " content=\"It's a sunny day in San Francisco with a current temperature of 72 degrees Fahrenheit and a 20% chance of rain. Enjoy the weather!\",\n", " )\n", " )\n", " yield history\n", "\n", "def like(evt: gr.LikeData):\n", " print(\"User liked the response\")\n", " print(evt.index, evt.liked, evt.value)\n", "\n", "with gr.Blocks() as demo:\n", " chatbot = gr.Chatbot(type=\"messages\", height=500, show_copy_button=True)\n", " button = gr.Button(\"Get San Francisco Weather\")\n", " button.click(generate_response, chatbot, chatbot)\n", " chatbot.like(like)\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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@@ -2,7 +2,6 @@ import gradio as gr
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from gradio import ChatMessage
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import time
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def generate_response(history):
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history.append(
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ChatMessage(
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)
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yield history
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def like(evt: gr.LikeData):
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print("User liked the response")
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print(evt.index, evt.liked, evt.value)
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with gr.Blocks() as demo:
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chatbot = gr.Chatbot(type="messages", height=500, show_copy_button=True)
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button = gr.Button("Get San Francisco Weather")
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from gradio import ChatMessage
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import time
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def generate_response(history):
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history.append(
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ChatMessage(
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)
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yield history
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def like(evt: gr.LikeData):
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print("User liked the response")
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print(evt.index, evt.liked, evt.value)
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with gr.Blocks() as demo:
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chatbot = gr.Chatbot(type="messages", height=500, show_copy_button=True)
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button = gr.Button("Get San Francisco Weather")
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