Update app.py

app.py

@@ -60,7 +60,6 @@ class GANRiskAnalyzer:
         generated_data = self.generator(z)
         return generated_data.detach().numpy()
 
-# Risk Analysis
 def analyze_financial_data(file):
     try:
         # Read the uploaded Excel or CSV file
@@ -85,6 +84,13 @@ def analyze_financial_data(file):
     if X.empty or y.empty:
         return {"error": "The data contains missing values or invalid rows after cleaning."}
 
+    # Handle categorical data by encoding it
+    X = pd.get_dummies(X, drop_first=True)  # One-hot encoding for categorical columns
+
+    # Convert target column to numeric if needed
+    if y.dtype == 'object':
+        y = y.astype('category').cat.codes  # Convert to numeric labels
+
     scaler = StandardScaler()
     X_scaled = scaler.fit_transform(X)
 
@@ -114,6 +120,7 @@ def analyze_financial_data(file):
 
     return insights
 
+
 # Gradio Interface
 with gr.Blocks(theme=gr.themes.Monochrome()) as interface:
     gr.Markdown("# **AI Risk Analyst Agent**")