Tweaking to go public
Browse files- README.md +1 -1
- demo-tools-1.ipynb +7 -7
README.md
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---
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title: demo 1
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emoji: π
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---
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title: demo 1 segregation of data with langchain tools
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emoji: π
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colorFrom: purple
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colorTo: indigo
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demo-tools-1.ipynb
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},
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{
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"cell_type": "code",
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"execution_count":
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Running on local URL: http://127.0.0.1:
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"\n",
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"To create a public link, set `share=True` in `launch()`.\n"
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]
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{
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"data": {
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"text/html": [
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"<div><iframe src=\"http://127.0.0.1:
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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"data": {
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"text/plain": []
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"execution_count":
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"metadata": {},
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"output_type": "execute_result"
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}
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" \n",
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" with gr.Row():\n",
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" with gr.Column():\n",
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" headerMsg = \"This demo shows
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" headerMsg += \"the intent of this demo is to show how at LLM uses Tools to fetch information from two specific recipe lists. And how if a user does \" \n",
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" headerMsg += \"not have access to a given recipe then the LLM will not be able to pull information from it
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" gr.Markdown(headerMsg)\n",
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" \n",
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" modelDD = gr.Dropdown(['gpt-3.5-turbo', 'gpt-4'], value='gpt-3.5-turbo', label=\"Model to use\")\n",
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" openAIKey = gr.Textbox(placeholder=\"Paste your OpenAI API Key Here\", label=\"OpenAI API Key\") \n",
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" inp = gr.Textbox(placeholder=\"Type your question here...\", label=\"Question\") \n",
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" accessCG = gr.CheckboxGroup([\"Chicken recipes\", \"Desert recipes\"], label=\"Access List\", info=\"The recipes below are what you have access to
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" btn = gr.Button(\"Run\") \n",
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" examples = [\"Can you show tell me what ingredients I need for the first baked chicken recipe?\",\n",
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" \"I have 15 guests coming to visit, if I make the 'Chocolate Snack Cake' recipe will there be enough? \",\n",
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},
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{
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"cell_type": "code",
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"execution_count": 119,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Running on local URL: http://127.0.0.1:7906\n",
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"\n",
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"To create a public link, set `share=True` in `launch()`.\n"
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]
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{
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"data": {
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"text/html": [
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"<div><iframe src=\"http://127.0.0.1:7906/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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"data": {
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"text/plain": []
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},
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"execution_count": 119,
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"metadata": {},
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"output_type": "execute_result"
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}
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" \n",
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" with gr.Row():\n",
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" with gr.Column():\n",
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" headerMsg = \"This demo shows using LangChain Tools to <b>segregate of data</b> \"\n",
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" headerMsg += \"the intent of this demo is to show how at LLM uses Tools to fetch information from two specific recipe lists. And how if a user does \" \n",
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" headerMsg += \"not have access to a given recipe then the LLM will not be able to pull information from it. \" \n",
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" gr.Markdown(headerMsg)\n",
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" \n",
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" modelDD = gr.Dropdown(['gpt-3.5-turbo', 'gpt-4'], value='gpt-3.5-turbo', label=\"Model to use\")\n",
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" openAIKey = gr.Textbox(placeholder=\"Paste your OpenAI API Key Here\", label=\"OpenAI API Key\") \n",
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" inp = gr.Textbox(placeholder=\"Type your question here...\", label=\"Question\") \n",
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" accessCG = gr.CheckboxGroup([\"Chicken recipes\", \"Desert recipes\"], value=[\"Chicken recipes\", \"Desert recipes\"], label=\"Access List\", info=\"The recipes below are what you have access to, deselect ones and ask specific questions to see how LLM cannot access them.\")\n",
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" btn = gr.Button(\"Run\") \n",
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" examples = [\"Can you show tell me what ingredients I need for the first baked chicken recipe?\",\n",
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" \"I have 15 guests coming to visit, if I make the 'Chocolate Snack Cake' recipe will there be enough? \",\n",
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