Adding new folder to demonstrate the capability of Code Interpreter with an e2e app in Streamlit.

scenarios/Assistants/code-interptreter/.gitignore

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+.env

scenarios/Assistants/code-interptreter/Dockerfile

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+# Use the official Python image with version 3.9
+FROM python:3.9-slim
+
+# Set the working directory in the container
+WORKDIR /app
+
+# Copy the requirements file into the container at /app
+COPY requirements.txt .
+
+# Install any needed packages specified in requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy the rest of the application code into the container
+COPY . .
+
+# Expose port 8501 for Streamlit
+EXPOSE 8501
+
+
+# Command to run when the container starts
+CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]

scenarios/Assistants/code-interptreter/README.md

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+# Advanced Analyst Assistant
+
+This demo app showcases the capabilities of Azure OpenAI Assistants API with Code Interpreter. The frontend is developed with Streamlit.
+
+![Demo](https://github.com/Valentina-Alto/CodeInterpreter-anomalies/blob/main/assets/ezgif-5-697c67b237.gif?raw=true)
+
+## Prerequisites
+
+- Python 3.7 or higher
+- Azure OpenAI account with access to at least one chat model (e.g. GPT-4o)
+- Azure Blob Storage account (optional, for exporting results)
+- Required Python packages listed in `requirements.txt`
+
+## Installation
+
+- **Clone the Repository:**
+
+   ```bash
+   git clone https://github.com/Valentina-Alto/CodeInterpreter-anomalies.git
+   cd CodeIntepreter-anomalies
+   ```
+
+- **Create a .env File:**
+
+   ```bash
+    AZURE_OPENAI_ENDPOINT=your-azure-openai-endpoint
+    AZURE_OPENAI_API_KEY=your-azure-openai-api-key
+    AZURE_STORAGE_CONNECTION_STRING=your-azure-storage-connection-string 
+    ```
+
+### Option 1: Run the App Locally
+
+- **Run the streamlit app**
+   ```bash
+    streamlit run app.py
+    ```
+
+
+### Option 2: Create Docker Image and deploy to a container registry
+
+- **Build Docker Image**
+   ```bash
+    docker build -t codeassistant:latest .
+    ```
+- **Login into Azure (or your Container Registry of choice)**
+   ```bash
+    az login
+    az acr login --name your-acr-name
+    ```
+- **Tag and Push your image**
+   ```bash
+    docker tag codeassistant:latest <your-acr-name>.azurecr.io/codeassistant:latest
+    docker push <your-acr-name>.azurecr.io/codeassistant:latest
+    ```
+
+- **Run the container locally**
+   ```bash
+    docker pull <your-acr-name>.azurecr.io/codeassistant:latest
+    docker run -p 8501:8501 <your-acr-name>.azurecr.io/codeassistant:latest
+    ```