Dockerize Llamarine Agent

examples/llamarine/.dockerignore

@@ -0,0 +1,2 @@
+README.md
+.env

examples/llamarine/Dockerfile

@@ -0,0 +1,21 @@
+# Use an official Python runtime as a base image
+FROM python:3.12-slim
+
+# Set the working directory
+WORKDIR /app
+
+# Install git and any other system dependencies
+RUN apt-get update && apt-get install -y --no-install-recommends git=1:2.39.5-0+deb12u1 && rm -rf /var/lib/apt/lists/*
+
+# Copy the requirements file and install dependencies
+COPY requirements.txt /app/
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy the rest of the application code
+COPY . /app
+
+# Expose Streamlit port
+EXPOSE 8501
+
+# Run the Streamlit app
+CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.enableCORS=false", "--server.enableXsrfProtection=false"]

examples/llamarine/Makefile

@@ -1,2 +1,2 @@
 streamlit-run:
-	@poetry run streamlit run streamlit-main.py --server.allowRunOnSave=true --server.runOnSave=true
+	@poetry run streamlit run app.py --server.allowRunOnSave=true --server.runOnSave=true

examples/llamarine/README.md

@@ -1,7 +1,39 @@
 <!-- markdownlint-disable MD043 -->
 
-# Maritime-Specific Agents leveraging Open-Source `Llamarine` LM
+# Maritime-Specific Agent
 
-## Streamlit App
+This app serves as a proof of concept (PoC) for a maritime-specific AI agent
+leveraging [Domain-Aware Neurosymbolic Agent (DANA)](https://arxiv.org/abs/2410.02823) architecture to address and solve
+collision avoidance problems in marine navigation.
 
-Run by `make streamlit-run`
+## Usage
+
+```shell
+make streamlit-run
+```
+
+## Running with Docker
+
+If you prefer to run the app in a Docker container, follow these steps:
+
+### Prerequisites
+
+- Docker installed on your machine.
+
+### Building the Docker Image
+
+```shell
+docker build -t dana-llamarine .
+```
+
+### Running the Docker Container
+
+#### Running the container
+
+```shell
+docker run --name llamarine-test --rm -p 8501:8501 -e .env dana-llamarine
+```
+
+#### Access the app
+
+[http://localhost:8501](http://localhost:8501)

examples/llamarine/streamlit-main.py → examples/llamarine/app.py

@@ -25,16 +25,17 @@
 if 'typed_problem' not in st.session_state:
     st.session_state.typed_problem: str = DEFAULT_PROBLEM
 
-st.session_state.typed_problem: str = st.text_area(label='Problem/Question',
-                                                   value=st.session_state.typed_problem,
-                                                   height=3,
-                                                   max_chars=None,
-                                                   key=None,
-                                                   help='Problem/Question',
-                                                   on_change=None, args=None, kwargs=None,
-                                                   placeholder='Problem/Question',
-                                                   disabled=False,
-                                                   label_visibility='collapsed')
+st.session_state.typed_problem: str = st.text_area(
+    label='Problem/Question',
+    value=st.session_state.typed_problem,
+    max_chars=None,
+    key=None,
+    help='Problem/Question',
+    on_change=None, args=None, kwargs=None,
+    placeholder='Problem/Question',
+    disabled=False,
+    label_visibility='collapsed'
+)
 
 if 'agent_solutions' not in st.session_state:
     st.session_state.agent_solutions: defaultdict[str, str] = defaultdict(str)

examples/llamarine/make.bat

@@ -13,7 +13,7 @@ IF "%TARGET%"=="streamlit-run" GOTO streamlit-run
 :: STREAMLIT APP
 :: =============
 :streamlit-run
-  poetry run streamlit run streamlit-main.py --server.allowRunOnSave=true --server.runOnSave=true
+  poetry run streamlit run app.py --server.allowRunOnSave=true --server.runOnSave=true
   GOTO end
 
 

examples/llamarine/requirements.txt

@@ -0,0 +1,2 @@
+streamlit>=1.40.0
+git+https://github.com/aitomatic/openssa.git@0.24.10.26