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{ | ||
"nbformat": 4, | ||
"nbformat_minor": 0, | ||
"metadata": { | ||
"colab": { | ||
"private_outputs": true, | ||
"provenance": [], | ||
"gpuType": "T4" | ||
}, | ||
"kernelspec": { | ||
"name": "python3", | ||
"display_name": "Python 3" | ||
}, | ||
"language_info": { | ||
"name": "python" | ||
}, | ||
"accelerator": "GPU" | ||
}, | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"id": "cs5RHepmhkEh" | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"!pip3 install swarms" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"source": [ | ||
"Copied from the repo, example.py\n", | ||
"Enter your OpenAI API key here." | ||
], | ||
"metadata": { | ||
"id": "-d9k3egzgp2_" | ||
} | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"source": [ | ||
"from swarms.models import OpenAIChat\n", | ||
"from swarms.structs import Flow\n", | ||
"\n", | ||
"api_key = \"\"\n", | ||
"\n", | ||
"# Initialize the language model, this model can be swapped out with Anthropic, ETC, Huggingface Models like Mistral, ETC\n", | ||
"llm = OpenAIChat(\n", | ||
" # model_name=\"gpt-4\"\n", | ||
" openai_api_key=api_key,\n", | ||
" temperature=0.5,\n", | ||
" # max_tokens=100,\n", | ||
")\n", | ||
"\n", | ||
"\n", | ||
"## Initialize the workflow\n", | ||
"flow = Flow(\n", | ||
" llm=llm,\n", | ||
" max_loops=5,\n", | ||
" dashboard=True,\n", | ||
" # tools = [search_api, slack, ]\n", | ||
" # stopping_condition=None, # You can define a stopping condition as needed.\n", | ||
" # loop_interval=1,\n", | ||
" # retry_attempts=3,\n", | ||
" # retry_interval=1,\n", | ||
" # interactive=False, # Set to 'True' for interactive mode.\n", | ||
" # dynamic_temperature=False, # Set to 'True' for dynamic temperature handling.\n", | ||
")\n", | ||
"\n", | ||
"# out = flow.load_state(\"flow_state.json\")\n", | ||
"# temp = flow.dynamic_temperature()\n", | ||
"# filter = flow.add_response_filter(\"Trump\")\n", | ||
"out = flow.run(\n", | ||
" \"Generate a 10,000 word blog on mental clarity and the benefits of meditation.\"\n", | ||
")\n", | ||
"# out = flow.validate_response(out)\n", | ||
"# out = flow.analyze_feedback(out)\n", | ||
"# out = flow.print_history_and_memory()\n", | ||
"# # out = flow.save_state(\"flow_state.json\")\n", | ||
"# print(out)" | ||
], | ||
"metadata": { | ||
"id": "K1Sbq4UkgVjk" | ||
}, | ||
"execution_count": null, | ||
"outputs": [] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"source": [ | ||
"Look at the log, which may be empty." | ||
], | ||
"metadata": { | ||
"id": "6VtgQ0F4BNc-" | ||
} | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"source": [ | ||
"!cat errors.txt" | ||
], | ||
"metadata": { | ||
"id": "RqL5LL3xBLWR" | ||
}, | ||
"execution_count": null, | ||
"outputs": [] | ||
} | ||
] | ||
} |