From 28b5af91b780e33e4b900ad4065c0a985692ff9f Mon Sep 17 00:00:00 2001 From: Chad Parmet Date: Fri, 8 Nov 2024 13:26:05 -0500 Subject: [PATCH] Python: Fix typos in Bedrock Claude Chatbot demo README (#7049) * Update script name and rename REAMDE.md to README.md --------- --- .../scenarios/claude3_chatbot_demo/{REAMDE.md => README.md} | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) rename python/example_code/bedrock-runtime/models/anthropic_claude/scenarios/claude3_chatbot_demo/{REAMDE.md => README.md} (89%) diff --git a/python/example_code/bedrock-runtime/models/anthropic_claude/scenarios/claude3_chatbot_demo/REAMDE.md b/python/example_code/bedrock-runtime/models/anthropic_claude/scenarios/claude3_chatbot_demo/README.md similarity index 89% rename from python/example_code/bedrock-runtime/models/anthropic_claude/scenarios/claude3_chatbot_demo/REAMDE.md rename to python/example_code/bedrock-runtime/models/anthropic_claude/scenarios/claude3_chatbot_demo/README.md index c60402c2aca..19d22a664c3 100644 --- a/python/example_code/bedrock-runtime/models/anthropic_claude/scenarios/claude3_chatbot_demo/REAMDE.md +++ b/python/example_code/bedrock-runtime/models/anthropic_claude/scenarios/claude3_chatbot_demo/README.md @@ -23,11 +23,11 @@ Facilitates a conversational QA application that leverages a knowledge base alon - **`colors.py`:** Provides functions to add color to console outputs, enhancing the readability and visual appeal of logs or messages displayed in the terminal. - **`custom_logging.py`:** Implements custom logging functionalities, allowing for more structured and configurable logging throughout the project. - **`timeit.py`:** Contains a decorator to measure and log the execution time of functions. This utility is helpful for performance analysis and optimization. -- **`upload_resume.py`:** Designed to upload resume documents to an Amazon S3 bucket. It is used to provide the document context required by the `with_document.py` script for conversation simulation. +- **`upload_document.py`:** Designed to upload resume documents to an Amazon S3 bucket. It is used to provide the document context required by the `with_document.py` script for conversation simulation. ## Pre-Requisites To get started: 1. Run `pip install -r requirements.txt` & activate the virtual environment. 2. Set up AWS tokens. -3. Run `python utils/upload_resume.py` (required for `with_document.py`). -4. Create a [Knowledge Base for Amazon Bedrock](https://aws.amazon.com/bedrock/knowledge-bases/) (required for `with_knowledgebase.py`). \ No newline at end of file +3. Run `python utils/upload_document.py` (required for `with_document.py`). +4. Create a [Knowledge Base for Amazon Bedrock](https://aws.amazon.com/bedrock/knowledge-bases/) (required for `with_knowledgebase.py`).