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Merge branch 'master' of https://github.com/gucky92/Auto-GPT
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@@ -115,7 +115,7 @@ cd Auto-GPT
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pip install -r requirements.txt
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```
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5. Rename `.env.template` to `.env` and fill in your `OPENAI_API_KEY`. If you plan to use Speech Mode, fill in your `ELEVEN_LABS_API_KEY` as well.
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5. Rename `.env.template` to `.env` and fill in your `OPENAI_API_KEY`. If you plan to use Speech Mode, fill in your `ELEVENLABS_API_KEY` as well.
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- See [OpenAI API Keys Configuration](#openai-api-keys-configuration) to obtain your OpenAI API key.
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- Obtain your ElevenLabs API key from: https://elevenlabs.io. You can view your xi-api-key using the "Profile" tab on the website.
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- If you want to use GPT on an Azure instance, set `USE_AZURE` to `True` and then follow these steps:
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@@ -334,8 +334,7 @@ To switch to either, change the `MEMORY_BACKEND` env variable to the value that
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## 🧠 Memory pre-seeding
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```bash
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# python scripts/data_ingestion.py -h
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# python autogpt/data_ingestion.py -h
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usage: data_ingestion.py [-h] (--file FILE | --dir DIR) [--init] [--overlap OVERLAP] [--max_length MAX_LENGTH]
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Ingest a file or a directory with multiple files into memory. Make sure to set your .env before running this script.
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@@ -348,10 +347,10 @@ options:
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--overlap OVERLAP The overlap size between chunks when ingesting files (default: 200)
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--max_length MAX_LENGTH The max_length of each chunk when ingesting files (default: 4000
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# python scripts/data_ingestion.py --dir seed_data --init --overlap 200 --max_length 1000
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# python autogpt/data_ingestion.py --dir seed_data --init --overlap 200 --max_length 1000
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```
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This script located at `scripts/data_ingestion.py`, allows you to ingest files into memory and pre-seed it before running Auto-GPT.
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This script located at autogpt/data_ingestion.py, allows you to ingest files into memory and pre-seed it before running Auto-GPT.
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Memory pre-seeding is a technique that involves ingesting relevant documents or data into the AI's memory so that it can use this information to generate more informed and accurate responses.
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@@ -21,13 +21,12 @@ def fix_json(json_string: str, schema: str) -> str:
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# Try to fix the JSON using GPT:
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function_string = "def fix_json(json_string: str, schema:str=None) -> str:"
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args = [f"'''{json_string}'''", f"'''{schema}'''"]
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description_string = (
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"Fixes the provided JSON string to make it parseable"
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" and fully compliant with the provided schema.\n If an object or"
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" field specified in the schema isn't contained within the correct"
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" JSON, it is omitted.\n This function is brilliant at guessing"
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" when the format is incorrect."
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)
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description_string = "This function takes a JSON string and ensures that it"\
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" is parseable and fully compliant with the provided schema. If an object"\
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" or field specified in the schema isn't contained within the correct JSON,"\
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" it is omitted. The function also escapes any double quotes within JSON"\
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" string values to ensure that they are valid. If the JSON string contains"\
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" any None or NaN values, they are replaced with null before being parsed."
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# If it doesn't already start with a "`", add one:
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if not json_string.startswith("`"):
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