Fix readme typo

backend/README.md

@@ -1,12 +1,14 @@
 # Project Overview
+
 Welcome to our project! This project is built using FastAPI framework to create a fast and modern API with Python.
 
 ## Feature
+
 API Endpoint : This project provides various API endpoint to perform specific tasks.
 Data Validation : Utilize FastAPI data validation and serialization feature.
 Interactive Documentation : Access Swagger UI and ReDoc for interactive API documentation.
 
-## Getting Started 
+## Getting Started
 
 Follow these steps to set up and run the project locally:
 
@@ -20,32 +22,40 @@ Follow these steps to set up and run the project locally:
 
 > pip install -t requirements.txt
 
-## Run backend project using unicorn
+## Run backend project using uvicorn
+
 Run the server:
+
 > uvicorn score:app --reload
 
 ## Run project using docker
-## prerequisite 
+
+## prerequisite
+
 Before proceeding, ensure the following software is installed on your machine
 
 Docker: https://www.docker.com/
 
 1. Build the docker image
+
    > docker build -t your_image_name .
-   
+
    Replace `your_image_name` with the meaningful name for your Docker image
 
 2. Run the Docker Container
+
    > docker run -it -p 8000:8000 your_image_name
-   
+
    Replace `8000` with the desired port.
 
 ## Access the API Documentation
+
 Open your browser and navigate to
 http://127.0.0.1:8000/docs for Swagger UI or
 http://127.0.0.1:8000/redocs for ReDoc.
 
 ## Project Structure
+
 `score.py`: Score entry point for FastAPI application
 
 ## Configuration
@@ -66,6 +76,6 @@ Update the environment variable in `.env` file. Refer example.env in backend fol
 
 `AWS_SECRET_ACCESS_KEY` : AWS secret access key
 
-
 ## Contact
+
 For questions or support, feel free to contact us at [email protected] or [email protected]

docker-compose.yml

@@ -26,13 +26,13 @@ services:
       - NUMBER_OF_CHUNKS_TO_COMBINE=${NUMBER_OF_CHUNKS_TO_COMBINE-6}
       - ENTITY_EMBEDDING=${ENTITY_EMBEDDING-False}
       - GCS_FILE_CACHE=${GCS_FILE_CACHE-False}
-#      - LLM_MODEL_CONFIG_anthropic_claude_35_sonnet=${LLM_MODEL_CONFIG_anthropic_claude_35_sonnet-}
-#      - LLM_MODEL_CONFIG_fireworks_llama_v3_70b=${LLM_MODEL_CONFIG_fireworks_llama_v3_70b-}
-#      - LLM_MODEL_CONFIG_azure_ai_gpt_4o=${LLM_MODEL_CONFIG_azure_ai_gpt_4o-}
-#      - LLM_MODEL_CONFIG_azure_ai_gpt_35=${LLM_MODEL_CONFIG_azure_ai_gpt_35-}
-#      - LLM_MODEL_CONFIG_groq_llama3_70b=${LLM_MODEL_CONFIG_groq_llama3_70b-}
-#      - LLM_MODEL_CONFIG_bedrock_claude_3_5_sonnet=${LLM_MODEL_CONFIG_bedrock_claude_3_5_sonnet-}
-#     - LLM_MODEL_CONFIG_fireworks_qwen_72b=${LLM_MODEL_CONFIG_fireworks_qwen_72b-}
+      #      - LLM_MODEL_CONFIG_anthropic_claude_35_sonnet=${LLM_MODEL_CONFIG_anthropic_claude_35_sonnet-}
+      #      - LLM_MODEL_CONFIG_fireworks_llama_v3_70b=${LLM_MODEL_CONFIG_fireworks_llama_v3_70b-}
+      #      - LLM_MODEL_CONFIG_azure_ai_gpt_4o=${LLM_MODEL_CONFIG_azure_ai_gpt_4o-}
+      #      - LLM_MODEL_CONFIG_azure_ai_gpt_35=${LLM_MODEL_CONFIG_azure_ai_gpt_35-}
+      #      - LLM_MODEL_CONFIG_groq_llama3_70b=${LLM_MODEL_CONFIG_groq_llama3_70b-}
+      #      - LLM_MODEL_CONFIG_bedrock_claude_3_5_sonnet=${LLM_MODEL_CONFIG_bedrock_claude_3_5_sonnet-}
+      #     - LLM_MODEL_CONFIG_fireworks_qwen_72b=${LLM_MODEL_CONFIG_fireworks_qwen_72b-}
       - LLM_MODEL_CONFIG_ollama_llama3=${LLM_MODEL_CONFIG_ollama_llama3-}
     container_name: backend
     extra_hosts: