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Add Slack Summarization Plugin as a use case #57

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Add Slack Summarization Plugin as a use case #57

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a635831
Update LangChain Cookbook Part 1 - Fundamentals.ipynb fixing agents url
fabraz Jul 18, 2023
dc7f9f8
Merge pull request #51 from fabraz/main
gkamradt Jul 19, 2023
b003a29
update Expert Structured Output (Using Kor).ipynb
Aug 2, 2023
e3a7001
update Expert Structured Output (Using Kor).ipynb
Aug 2, 2023
410afa6
Merge pull request #52 from jinyichao/patch-1
gkamradt Aug 2, 2023
859e211
Update README.md
matisandacz Sep 11, 2023
2f2da48
Update README.md
matisandacz Sep 11, 2023
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2 changes: 1 addition & 1 deletion LangChain Cookbook Part 1 - Fundamentals.ipynb
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Expand Up @@ -1573,7 +1573,7 @@
"\n",
"The language model that drives decision making.\n",
"\n",
"More specifically, an agent takes in an input and returns a response corresponding to an action to take along with an action input. You can see different types of agents (which are better for different use cases) [here](https://python.langchain.com/en/latest/modules/agents/agents/agent_types.html)."
"More specifically, an agent takes in an input and returns a response corresponding to an action to take along with an action input. You can see different types of agents (which are better for different use cases) [here](https://python.langchain.com/en/latest/modules/agents/agent_types.html)."
]
},
{
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3 changes: 2 additions & 1 deletion README.md
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Expand Up @@ -31,6 +31,7 @@ Prompt Engineering (my favorite resources):
| Project | Contact | Difficulty | Open Sourced? | Notes |
| - | ----------- | ---------- | :-: | ---------- |
| [SummarizePaper.com](https://www.summarizepaper.com/) | Quentin Kral | 🐒 Intermediate | ✅ [Code](https://github.com/summarizepaper/summarizepaper) | Summarize arXiv papers |
| SlackSummarizerPlugin | Matias Sandacz | 🐒 Intermediate | ✅ [Code](https://github.com/matisandacz/SlackSummarization) | Summarize Slack Conversations |

<br>

Expand Down Expand Up @@ -101,4 +102,4 @@ As an open-source project in a rapidly developing field, we are extremely open t

Submit a PR with notes.

This repo and series is provided by [DataIndependent](https://dataindependent.com/) and run by [Greg Kamradt](https://twitter.com/GregKamradt)
This repo and series is provided by [DataIndependent](https://dataindependent.com/) and run by [Greg Kamradt](https://twitter.com/GregKamradt)
16 changes: 8 additions & 8 deletions data_generation/Expert Structured Output (Using Kor).ipynb
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Expand Up @@ -187,7 +187,7 @@
" My sister's name is Rachel.\n",
" My brother's name Joe. My dog's name is Spot\n",
"\"\"\"\n",
"output = chain.predict_and_parse(text=(text))[\"data\"]\n",
"output = chain.run(text=(text))[\"data\"]\n",
"\n",
"printOutput(output)\n",
"# Notice how there isn't \"spot\" in the results list because it's the name of a dog, not a person."
Expand Down Expand Up @@ -218,7 +218,7 @@
}
],
"source": [
"output = chain.predict_and_parse(text=(\"The dog went to the park\"))[\"data\"]\n",
"output = chain.run(text=(\"The dog went to the park\"))[\"data\"]\n",
"printOutput(output)"
]
},
Expand Down Expand Up @@ -300,7 +300,7 @@
"text=\"Palm trees are brown with a 6 rating. Sequoia trees are green\"\n",
"\n",
"chain = create_extraction_chain(llm, plant_schema)\n",
"output = chain.predict_and_parse(text=text)['data']\n",
"output = chain.run(text=text)['data']\n",
"\n",
"printOutput(output)"
]
Expand Down Expand Up @@ -402,7 +402,7 @@
"\n",
"# Changed the encoder to json\n",
"chain = create_extraction_chain(llm, cars_schema, encoder_or_encoder_class=\"json\")\n",
"output = chain.predict_and_parse(text=text)['data']\n",
"output = chain.run(text=text)['data']\n",
"\n",
"printOutput(output)"
]
Expand Down Expand Up @@ -529,7 +529,7 @@
],
"source": [
"chain = create_extraction_chain(llm, schema, encoder_or_encoder_class='json')\n",
"output = chain.predict_and_parse(text=\"please add 15 more units sold to 2023\")['data']\n",
"output = chain.run(text=\"please add 15 more units sold to 2023\")['data']\n",
"\n",
"printOutput(output)"
]
Expand Down Expand Up @@ -891,7 +891,7 @@
}
],
"source": [
"output = chain.predict_and_parse(text=text)[\"data\"]\n",
"output = chain.run(text=text)[\"data\"]\n",
"\n",
"printOutput(output)"
]
Expand Down Expand Up @@ -1027,7 +1027,7 @@
],
"source": [
"chain = create_extraction_chain(llm, salary_range)\n",
"output = chain.predict_and_parse(text=text)[\"data\"]\n",
"output = chain.run(text=text)[\"data\"]\n",
"\n",
"printOutput(output)"
]
Expand Down Expand Up @@ -1070,7 +1070,7 @@
],
"source": [
"with get_openai_callback() as cb:\n",
" result = chain.predict_and_parse(text=text)\n",
" result = chain.run(text=text)\n",
" print(f\"Total Tokens: {cb.total_tokens}\")\n",
" print(f\"Prompt Tokens: {cb.prompt_tokens}\")\n",
" print(f\"Completion Tokens: {cb.completion_tokens}\")\n",
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