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updated readme
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README.md
19
README.md
@ -194,10 +194,8 @@ Once you have it all set up, here's how to use it.
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`fabric -h`
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```bash
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fabric [-h] [--text TEXT] [--copy] [--agents {trip_planner,ApiKeys}]
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[--output [OUTPUT]] [--stream] [--list] [--update]
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[--pattern PATTERN] [--setup] [--local] [--model MODEL]
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[--listmodels] [--context]
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fabric [-h] [--text TEXT] [--copy] [--agents {trip_planner,ApiKeys}] [--output [OUTPUT]] [--stream] [--list] [--update] [--pattern PATTERN] [--setup] [--local] [--model MODEL] [--listmodels]
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[--context]
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An open source framework for augmenting humans using AI.
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@ -206,14 +204,10 @@ options:
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--text TEXT, -t TEXT Text to extract summary from
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--copy, -C Copy the response to the clipboard
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--agents {trip_planner,ApiKeys}, -a {trip_planner,ApiKeys}
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Use an AI agent to help you with a task. Acceptable
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values are 'trip_planner' or 'ApiKeys'. This option
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cannot be used with any other flag.
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Use an AI agent to help you with a task. Acceptable values are 'trip_planner' or 'ApiKeys'. This option cannot be used with any other flag.
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--output [OUTPUT], -o [OUTPUT]
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Save the response to a file
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--stream, -s Use this option if you want to see the results in
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realtime. NOTE: You will not be able to pipe the
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output into another command.
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--stream, -s Use this option if you want to see the results in realtime. NOTE: You will not be able to pipe the output into another command.
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--list, -l List available patterns
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--update, -u Update patterns
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--pattern PATTERN, -p PATTERN
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@ -221,10 +215,9 @@ options:
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--setup Set up your fabric instance
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--local, -L Use local LLM. Default is llama2
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--model MODEL, -m MODEL
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Select the model to use (GPT-4 by default)
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Select the model to use (GPT-4 by default for chatGPT and llama2 for Ollama)
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--listmodels List all available models
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--context, -c Use Context file (context.md) to add context to your
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pattern
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--context, -c Use Context file (context.md) to add context to your pattern
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```
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#### Example commands
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@ -46,7 +46,7 @@ def main():
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parser.add_argument(
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'--local', '-L', help="Use local LLM. Default is llama2", action="store_true")
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parser.add_argument(
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"--model", "-m", help="Select the model to use (GPT-4 by default)", default="gpt-4-turbo-preview"
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"--model", "-m", help="Select the model to use (GPT-4 by default for chatGPT and llama2 for Ollama)", default="gpt-4-turbo-preview"
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)
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parser.add_argument(
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"--listmodels", help="List all available models", action="store_true"
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