diff --git a/.github/workflows/condor_review.yml b/.github/workflows/condor_review.yml
new file mode 100644
index 0000000..f624a41
--- /dev/null
+++ b/.github/workflows/condor_review.yml
@@ -0,0 +1,24 @@
+name: Condor Code Review
+
+on: [pull_request]
+
+jobs:
+  review:
+    runs-on: ubuntu-latest
+
+    steps:
+    - name: Checkout code
+      uses: actions/checkout@v2
+
+    - name: Set up Python
+      uses: actions/setup-python@v2
+      with:
+        python-version: 3.8
+
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install condor_code_reviewer
+
+    - name: Run Condor
+      run: condor --openai-key ${{ secrets.OPENAI_KEY }} --gh-api-key ${{ secrets.GH_API_KEY }}  --assistant-id ${{ secrets.ASSISTANT_ID }} --pull-request-url ${{ github.event.pull_request.html_url }}
diff --git a/run_copy.py b/run_copy.py
new file mode 100644
index 0000000..9fa540a
--- /dev/null
+++ b/run_copy.py
@@ -0,0 +1,44 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+import seaborn as sns
+
+def read_and_clean_data(file_path):
+    try:
+        # Read the CSV file
+        df = pd.read_csv(file_path)
+
+        # Clean the data
+        df = df.dropna()  # remove rows with missing values
+        df.columns = df.columns.str.strip()  # remove leading/trailing spaces from column names
+
+        return df
+    except FileNotFoundError:
+        print(f"File not found: {file_path}")
+        return None
+    except pd.errors.EmptyDataError:
+        print(f"No data in file: {file_path}")
+        return None
+    except Exception as e:
+        print(f"Error occurred: {e}")
+        return None
+
+def create_bar_plot(df, x_col, y_col):
+    # Set the style
+    sns.set(style="whitegrid")
+
+    # Create the bar plot
+    fig, ax = plt.subplots(figsize=(10, 6))
+    sns.barplot(x=x_col, y=y_col, data=df, ax=ax, palette="Blues_d")
+
+    # Customize the plot
+    ax.set_title('Bar Plot', fontsize=15)
+    ax.set_xlabel(x_col, fontsize=12)
+    ax.set_ylabel(y_col, fontsize=12)
+
+    # Show the plot
+    plt.show()
+
+# Use the functions
+data = read_and_clean_data('your_file.csv')
+if data is not None:
+    create_bar_plot(data, 'column1', 'column2')