Merge pull request #463 from jbampton/remove-duplicate-words

Remove unneeded duplicate words
This commit is contained in:
Alex
2023-10-07 14:12:00 +01:00
committed by GitHub
7 changed files with 7 additions and 7 deletions

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@@ -57,7 +57,7 @@ class HTMLParser(BaseParser):
title_indexes = [i for i, isd_el in enumerate(isd) if isd_el['type'] == 'Title']
# Creating 'Chunks' - List of lists of strings
# each list starting with with isd_el['type'] = 'Title' and all the data till the next 'Title'
# each list starting with isd_el['type'] = 'Title' and all the data till the next 'Title'
# Each Chunk can be thought of as an individual set of data, which can be sent to the model
# Where Each Title is grouped together with the data under it

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@@ -41,7 +41,7 @@ You can learn more about options while running ingest.py by running:
`python ingest.py --help`
| Options | |
|:--------------------------------:|:------------------------------------------------------------------------------------------------------------------------------:|
| **ingest** | Runs 'ingest' function converting documentation to to Faiss plus Index format |
| **ingest** | Runs 'ingest' function converting documentation to Faiss plus Index format |
| --dir TEXT | List of paths to directory for index creation. E.g. --dir inputs --dir inputs2 [default: inputs] |
| --file TEXT | File paths to use (Optional; overrides directory) E.g. --files inputs/1.md --files inputs/2.md |
| --recursive / --no-recursive | Whether to recursively search in subdirectories [default: recursive] |

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@@ -366,7 +366,7 @@ function fr() {
}
function ye(e) {
if (Je(e))
return g("The provided key is an unsupported type %s. This value must be coerced to a string before before using it here.", qe(e)), ge(e);
return g("The provided key is an unsupported type %s. This value must be coerced to a string before using it here.", qe(e)), ge(e);
}
var W = O.ReactCurrentOwner, Be = {
key: !0,

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@@ -57,7 +57,7 @@ class HTMLParser(BaseParser):
title_indexes = [i for i, isd_el in enumerate(isd) if isd_el['type'] == 'Title']
# Creating 'Chunks' - List of lists of strings
# each list starting with with isd_el['type'] = 'Title' and all the data till the next 'Title'
# each list starting with isd_el['type'] = 'Title' and all the data till the next 'Title'
# Each Chunk can be thought of as an individual set of data, which can be sent to the model
# Where Each Title is grouped together with the data under it