adding dockerfile for langchain chatwithDB

LangChain/ChatWithDB/Dockerfile

@@ -1,4 +1,4 @@
-FROM python:3.10.14-slim
+FROM python:3.12.3-slim
 # https://hub.docker.com/_/python
 
 # LABEL org.opencontainers.image.source https://github.com/JAlcocerT/Data-Chat

LangChain/ChatWithDB/docker-compose.yml

@@ -0,0 +1,56 @@
+version: "3.8"
+
+services:
+  db:
+    image: mysql:8.0
+    container_name: mysql_db
+    environment:
+      MYSQL_ROOT_PASSWORD: rootpassword
+      MYSQL_DATABASE: chinook
+      MYSQL_USER: myuser
+      MYSQL_PASSWORD: mypassword
+    ports:
+      - "3306:3306" # Expose MySQL on localhost:3306
+    volumes:
+      - db_data:/var/lib/mysql # Persistent storage for database data
+      - ./init-scripts:/docker-entrypoint-initdb.d # Initialization scripts
+    command: >
+      bash -c "apt-get update && apt-get install -y wget &&
+      wget -O /docker-entrypoint-initdb.d/Chinook_MySql.sql
+      https://github.com/lerocha/chinook-database/releases/download/v1.4.5/Chinook_MySql.sql &&
+      docker-entrypoint.sh mysqld"
+
+volumes:
+  db_data:
+
+###docker exec -it mysql_db bash
+###docker exec -it mysql_db mysql -u myuser -p chinook
+
+
+
+# version: "3.8"
+
+# services:
+#   db:
+#     image: mysql:8.0
+#     container_name: mysql_db
+#     environment:
+#       MYSQL_ROOT_PASSWORD: rootpassword
+#       MYSQL_DATABASE: mydatabase
+#       MYSQL_USER: myuser
+#       MYSQL_PASSWORD: mypassword
+#     ports:
+#       - "3306:3306" # Expose MySQL on localhost:3306
+#     volumes:
+#       - db_data:/var/lib/mysql # Persistent storage for database data
+
+#   streamlit_app:
+#     image: python:3.11-slim
+#     container_name: streamlit_app
+#     working_dir: /app
+#     volumes:
+#       - .:/app # Mount local directory to container
+#     ports:
+#       - "8501:8501" # Expose Streamlit on localhost:8501
+#     command: >
+#       bash -c "pip 

LangChain/ChatWithDB/readme.md

@@ -9,6 +9,8 @@ Follow any of [these Python environment setup](https://jalcocert.github.io/JAlco
 
 For the `ipynb` vscode will ak you for the `ipykernel` module.
 
+[![Open in Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JAlcocerT/Data-Chat/blob/main/LangChain/ChatWithDB/test_langchainChatDB.ipynb)
+
 Then you will be asked to **select the Python env**.
 
 You will need : https://platform.openai.com/api-keys

LangChain/ChatWithDB/test_langchainChatDB.ipynb

@@ -22,7 +22,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -42,7 +42,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -195,7 +195,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -814,7 +814,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "langchainChatDB_venv",
+   "display_name": "datachat_venv",
    "language": "python",
    "name": "python3"
   },

README.md

@@ -51,7 +51,7 @@
         * in a docker container - as a server running your local machine or in the cloud
     * [ChatWithPDF Repo](https://github.com/JAlcocerT/ask-multiple-pdfs/) and Blog [Post](https://jalcocert.github.io/JAlcocerT/how-to-chat-with-pdfs/)
     * [ChatWithCSV Repo](https://github.com/JAlcocerT/langchain-ask-csv) and Blog [Post](https://jalcocert.github.io/JAlcocerT/how-to-chat-with-your-data/#chat-with-csv-with-langchain)
-    * ChatWithDB Blog [Post](https://jalcocert.github.io/JAlcocerT/how-to-chat-with-your-data/) - `./LangChain/ChatWithDB`
+    * ChatWithDB [Blog Post](https://jalcocert.github.io/JAlcocerT/how-to-chat-with-your-data/) - `./LangChain/ChatWithDB`
 
 * [**PandasAI**](https://jalcocert.github.io/JAlcocerT/how-to-use-pandasAI/) with 
     * GroqAPI