Added Lambda web adapter to Dockerfile. Updated Gradio version

Dockerfile

@@ -1,6 +1,9 @@
 # First stage: build dependencies
 FROM public.ecr.aws/docker/library/python:3.11.9-slim-bookworm
 
+# Install Lambda web adapter in case you want to run with with an AWS Lamba function URL
+COPY --from=public.ecr.aws/awsguru/aws-lambda-adapter:0.8.3 /lambda-adapter /opt/extensions/lambda-adapter
+
 # Install wget
 RUN apt-get update && apt-get install -y wget
 
@@ -14,7 +17,7 @@ COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 
 # Gradio needs to be installed after due to conflict with spacy in requirements
-RUN pip install --no-cache-dir gradio==4.31.4 
+RUN pip install --no-cache-dir gradio==4.32.2 
 
 # Download the BGE embedding model during the build process
 RUN curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | bash

README.md

@@ -4,7 +4,7 @@ emoji: 🔍
 colorFrom: purple
 colorTo: green
 sdk: gradio
-sdk_version: 4.31.4
+sdk_version: 4.32.2
 app_file: app.py
 pinned: false
 license: apache-2.0

app.py

@@ -1,5 +1,4 @@
 from typing import Type
-
 import gradio as gr
 import pandas as pd
 import numpy as np

how_to_create_exe_dist.txt

@@ -14,7 +14,10 @@ NOTE: for ensuring that spaCy models are loaded into the program correctly in re
 
 9.Run the following, assuming you want to make one single .exe file (This helped me: https://github.com/pyinstaller/pyinstaller/issues/8108):
 
-a) In command line: pyi-makespec --additional-hooks-dir="build_deps\\" --collect-data=gradio_client --collect-data=gradio --hidden-import pyarrow.vendored.version --onefile --name DataSearchApp_0.4 app.py
+a) In command line: pyi-makespec --additional-hooks-dir="build_deps\\" --collect-data=gradio_client  --collect-data=gradio  --hidden-import pyarrow.vendored.version  --name DataSearchApp_0.4 app.py 
+
+# Add --onefile  to the above if you would like everything packaged as a single exe, although this will need to be extracted upon starting the app, slowing down initialisation time significantly.
+
 
 b) Open the created spec file in Notepad. Add the following to the end of the Analysis section then save: