testing langchain and ready for v2 release

.gitignore

@@ -0,0 +1,2 @@
+*_venv/
+.env

Deploy/Docker-compose.yml

@@ -5,4 +5,5 @@ services:
     container_name: tripplanner
     ports:
       - 8051:8050
-    restart: unless-stopped
+    restart: unless-stopped
+    command: python3 ./app/app.py

Deploy/README.md

@@ -1,9 +1,14 @@
 # Local Deployment
 
-Deploy me with docker!
+[**Deploy**](https://fossengineer.com/understanding-containers-for-selfhosting/) me with docker!
+
+
+**Container Image** creation:
 
 * [DockerHub - x86,ARM32/64](https://hub.docker.com/repository/docker/fossengineer/trip_planner/general)
 * [Build Locally](https://fossengineer.com/building-docker-container-images/#building-images-locally-x86-arm32-arm64)
+* Use [Github Actions MultiArch CI/CD](https://jalcocert.github.io/JAlcocerT/github-actions-use-cases/#actions-cicd-for-python-projects)
+
 
 ## Usage
 
@@ -33,7 +38,7 @@ docker run -p 8051:8050 --name trip-planner fossengineer/trip-planner:latest
 
 Simply pulling `fossengineer/trip-planner:latest` will retrieve the correct image for your arch, but you can also pull specific arch images via tags.
 
-The architectures supported by this image are:
+The **architectures supported** by this container image are:
 
 | Architecture | Available | Tag |
 | :----: | :----: | ---- |

Development/readme.md

@@ -0,0 +1 @@
+> [Post](https://jalcocert.github.io/JAlcocerT/blog/dev-in-docker/)

README.md

@@ -23,10 +23,50 @@
 
 Using **historical weather data** together with location data in a DASH App to answer your question: **How is the expected weather at a particular period of the year in my destination?** 
 
-* [Deployed the App](https://github.com/JAlcocerT/Py_Trip_Planner/tree/main/Deploy)
+* [Deploy the App](https://github.com/JAlcocerT/Py_Trip_Planner/tree/main/Deploy)
 * Further Description at: 
-    * For V1: Historical Weather, [MeteoStat](https://jalcocert.github.io/JAlcocerT/python-trip-planner/)
-    * For V2: Historical and [Forecast Weather](https://jalcocert.github.io/JAlcocerT/python-weather-forecast-with-open-meteo-api/)
+  * For V1: Historical Weather, with [MeteoStat](https://jalcocert.github.io/JAlcocerT/python-trip-planner/)
+  * For V2: Historical and [Forecasted Weather](https://jalcocert.github.io/JAlcocerT/python-weather-forecast-with-open-meteo-api/)
+  * For V3: Adding AI capabilities - [Chat with Weather Data DF via LangChain](https://jalcocert.github.io/JAlcocerT/using-langchain-with-pandas-df/)
+
+
+
+###$ Quick Setup
+
+> [!IMPORTANT]
+> Prepare the API key for v3
+
+
+<details>
+  <summary>Using Python Venv...👇</summary>
+  &nbsp;
+
+
+```sh
+#sudo apt install python3.12-venv
+python3 -m venv trip_planner_venv
+
+#Unix
+source trip_planner_venv/bin/activate
+#.\trip_planner_venv\Scripts\activate #Windows
+
+pip install -r requirements.txt
+
+
+source .env
+#export OPENAI_API_KEY="your-api-key-here"
+#set OPENAI_API_KEY=your-api-key-here
+#$env:OPENAI_API_KEY="your-api-key-here"
+echo $GROQ_API_KEY $OPENAI_API_KEY $ANTHROPIC_API_KEY
+
+streamlit run Z_ST_AIssistant_v2.py
+
+# git add .
+# git commit -m "better st offer analyzer"
+# git push
+```
+
+</details>
 
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