Update Prompt

app.py

@@ -157,7 +157,7 @@ def main(table):
     tests = run_llm(df)
     print(tests)
     if isinstance(tests, Exception):
-        tests = pd.DataFrame([{"error": f"❌ Unable to get the SQL query based on the text. {tests}"}])
+        tests = pd.DataFrame([{"error": f"❌ Unable to generate tests. {tests}"}])
         return df.head(10), df_statistics, df_alerts, describe_cat, describe_num, tests, pd.DataFrame([])
 
     tests_df = pd.DataFrame(tests)

prompt.py

@@ -7,6 +7,7 @@ Follow this process:
 1. **Observe the sample data.**
 2. **For each column**, create a validation rule using Pandera syntax.
     Here are the valid pandera check class methods DO NOT USE ANYOTHER METHODS OTHER THAN THE BELOW GIVEN METHODS:
+    DO NOT USE SINGLE backslashes \  BUT USE DOUBLE backslashes  \\ IN PATTERN
     [
     'pa.Check.between(min_value, max_value, include_min=True, include_max=True, **kwargs)',
     'pa.Check.eq(value, **kwargs)',