Create analysis.py

analysis.py

@@ -0,0 +1,24 @@
+from transformers import pipeline
+
+# Load a free model for text generation
+llm_pipeline = pipeline("text-generation", model="mistralai/Mistral-7B-Instruct", device_map="auto")
+
+def analyze_spending_pattern(df):
+    prompt = f"""
+    Here is the user's spending data:
+    {df.to_string(index=False)}
+    
+    Identify spending trends, categorize expenses, and highlight areas for cost-saving.
+    """
+    response = llm_pipeline(prompt, max_length=200, do_sample=True)
+    return response[0]['generated_text']
+
+def get_financial_advice(df):
+    prompt = f"""
+    Given the following transaction history:
+    {df.to_string(index=False)}
+    
+    Provide personalized recommendations to reduce expenses and improve financial health.
+    """
+    response = llm_pipeline(prompt, max_length=200, do_sample=True)
+    return response[0]['generated_text']