diff --git a/chatbot/multipal_col.py b/chatbot/multipal_col.py
index 104a634..5e4b03c 100644
--- a/chatbot/multipal_col.py
+++ b/chatbot/multipal_col.py
@@ -1,136 +1,155 @@
-import pandas as pd
-import yaml
-
-# Read the data from the CSV file
-df = pd.read_csv(r"D:\livecode\Book1.csv")
-
-# df['Question'] = df['Question'].replace('\n', ' ', regex=True)
-# df['Question'] = df['Question'].str.strip()
-
-# df['Answers'] = df['Answers'].replace('\n', ' ', regex=True)
-# df['Answers'] = df['Answers'].str.strip()
-
-# # Extract the columns from the dataframe
-Question = df['Question'].tolist()
-Example1 = df['Example1'].tolist()
-Example2 = df['Example2'].tolist()
-Example3 = df['Example3'].tolist()
-uniqueid = df['uniqueid'].tolist()
-Answers = df['Answers'].tolist()
-
-question_cols = df.filter(regex='Example').columns
-answer_cols = df.filter(regex='Answers').columns
-#appending intents
-import ruamel.yaml as yaml
-
-# Load the domain YAML file
-with open(r'C:\Users\Bizgaze\Desktop\fileupdation\trail_update\domain.yml', 'r') as f:
-    domain = yaml.safe_load(f)
-    for i in uniqueid:
-        domain['intents'].append(i)
-        with open(r'C:\Users\Bizgaze\Desktop\fileupdation\trail_update\domain.yml', 'w') as f:
-            yaml.dump(domain, f, default_flow_style=False, allow_unicode=True)
-
-#appending muitipal answers
-from ruamel.yaml import YAML
-
-# Create a YAML object that preserves the formatting of the original YAML file
-yaml = YAML()
-yaml.preserve_quotes = True
-yaml.indent(mapping=2, sequence=4, offset=2)
-
-# Read in the existing domain file
-with open(r'C:\Users\Bizgaze\Desktop\fileupdation\trail_update\domain.yml', 'r') as file:
-    domain = yaml.load(file)
-
-# Generate the new YAML code for each row of data
-new_content = {}
-for index, row in df.iterrows():
-    intent_name = row['uniqueid']
-    examples = [row[col] for col in answer_cols ]
-    separator = "_"
-    for counter, example in enumerate(examples, start=1):
-        #example=example.replace(':','')
-        response_name = f"utter_{intent_name}{separator}{counter}"
-        response_text = f"- text: {example}"
-        if 'responses' not in new_content:
-            new_content['responses'] = {}
-        new_content['responses'][response_name] = yaml.load(response_text)
-
-# Update the `responses` section of the domain dictionary with the new content
-domain['responses'].update(new_content['responses'])
-
-# Write the updated domain file back to disk, preserving the formatting of the original file
-with open(r'C:\Users\Bizgaze\Desktop\fileupdation\trail_update\domain.yml', 'w') as file:
-    yaml.dump(domain, file)
-
-#appending multipal action for each rule
-with open(r"C:\Users\Bizgaze\Desktop\fileupdation\trail_update\data\rules.yml", 'a') as f:
-    for index, row in df.iterrows():
-        intent_name = row['uniqueid']
-        examples = [row[col] for col in question_cols]
-        separator = "_"
-        steps = {"intent": intent_name}
-        gg=[]
-        for counter, example in enumerate(examples, start=1):
-            unique_id = f"{intent_name}{separator}{counter}"
-            gg.append({"action": f"utter_{unique_id}"})
-
-        output_str = "  \n  ".join([f"- action: {question['action'][:-1]}{i}" for i, question in enumerate(gg, start=1)])
-
-        f.write(f""" 
-- rule: Ticket{intent_name}
-  steps:
-  - intent: {steps['intent']}
-  {output_str}
-  
-""")
-
-
-# appending multipal question
-
-with open(r'C:\Users\Bizgaze\Desktop\fileupdation\trail_update\data\nlu.yml', "a") as file:
-    for index, row in df.iterrows():
-        intent_name = row['uniqueid']
-        examples = [row[col] for col in question_cols]
-        file.write(f"""
-- intent: {intent_name}
-  examples: |
-""")
-        for example in examples:
-            file.write(f"   - \"{example}\"\n")
-        file.write("\n")
-
-
-# filename = r"C:\Users\Bizgaze\Desktop\fileupdation\trail_update\data\nlu.yml"
-# string_to_remove = '  - "nan"'
-
-# with open(filename, "r") as f:
-#     text = f.read()
-
-# modified_text = text.replace(string_to_remove, "")
-
-# with open(filename, "w") as f:
-#     f.write(modified_text)
-
-# filename = r"C:\Users\Bizgaze\Desktop\fileupdation\trail_update\data\domain.yml"
-# string_to_remove = '  - "nan"'
-
-# with open(filename, "r") as f:
-#     text = f.read()
-
-# modified_text = text.replace(string_to_remove, "")
-
-# with open(filename, "w") as f:
-#     f.write(modified_text)
-
-# filename = r"C:\Users\Bizgaze\Desktop\fileupdation\trail_update\data\rules.yml"
-# string_to_remove = '  - "nan"'
-
-# with open(filename, "r") as f:
-#     text = f.read()
-
-# modified_text = text.replace(string_to_remove, "")
-
-# with open(filename, "w") as f:
+import pandas as pd
+import yaml
+import re
+
+# Read the data from the CSV file
+df = pd.read_csv(r"D:\livecode\chatbot\AI Support Questionaire - Sheet1 (2).csv", encoding='latin')
+
+
+def remove_special_characters(df):
+    for column in df.columns:
+        df[column] = df[column].apply(lambda x: re.sub(r'[^a-zA-Z0-9->]', ' ', str(x)))
+    return df
+
+df_cleaned = remove_special_characters(df)
+uniqueid = df['UniqueId'].tolist()
+# Answers = df['Answers'].tolist()
+
+question_cols = df.filter(regex='Question').columns
+answer_cols = df.filter(regex='Answers').columns
+
+
+#appending intents
+import ruamel.yaml as yaml
+
+# Load the domain YAML file
+with open(r'D:\\livecode\\chatbot\\traildata\\domain.yml', 'r') as f:
+    domain = yaml.safe_load(f)
+    for i in uniqueid:
+        domain['intents'].append(i)
+        with open(r'D:\\livecode\\chatbot\\traildata\\domain.yml', 'w') as f:
+            yaml.dump(domain, f, default_flow_style=False, allow_unicode=True)
+
+
+
+question_cols = df.filter(regex='Question').columns
+answer_cols = df.filter(regex='Answer').columns
+
+# for i in question_cols:
+#     df[i] = df[i].replace('\n', '$$', regex=True)
+#    # df[i] = df[i].str.strip()
+
+
+# for i in answer_cols:
+#     df[i] = df[i].replace('\n', '$$', regex=True)
+#    # df[i] = df[i].str.strip()
+
+
+
+from ruamel.yaml import YAML
+
+# Create a YAML object that preserves the formatting of the original YAML file
+yaml = YAML()
+yaml.preserve_quotes = True
+yaml.indent(mapping=2, sequence=4, offset=2)
+
+# Read in the existing domain file
+with open(r'D:\\livecode\\chatbot\\traildata\\domain.yml', 'r', encoding='utf-8') as file:
+    domain = yaml.load(file)
+
+# Generate the new YAML code for each row of data
+new_content = {}
+for index, row in df.iterrows():
+    intent_name = row['UniqueId']
+    examples = [row[col] for col in answer_cols ]
+    separator = "_"
+    for counter, example in enumerate(examples, start=1):
+        #example=example.replace(':','')
+        response_name = f"utter_{intent_name}{separator}{counter}"
+        response_text =f"- text: {example}"
+        if 'responses' not in new_content:
+            new_content['responses'] = {}
+        new_content['responses'][response_name] = yaml.load(response_text)
+
+# Update the `responses` section of the domain dictionary with the new content
+domain['responses'].update(new_content['responses'])
+
+# Write the updated domain file back to disk, preserving the formatting of the original file
+with open(r'D:\\livecode\\chatbot\\traildata\\domain.yml', 'w',encoding='utf-8') as file:
+    yaml.dump(domain, file)
+
+
+
+#appending multipal action for each rule
+with open(r"D:\\livecode\\chatbot\\traildata\\rules.yml", 'a') as f:
+    for index, row in df.iterrows():
+        intent_name = row['UniqueId']
+        examples = [row[col] for col in answer_cols]
+        separator = "_"
+        steps = {"intent": intent_name}
+        gg=[]
+        for counter, example in enumerate(examples, start=1):
+            unique_id = f"{intent_name}{separator}{counter}"
+            gg.append({"action": f"utter_{unique_id}"})
+
+        output_str = "  \n  ".join([f"- action: {question['action'][:-1]}{i}" for i, question in enumerate(gg, start=1)])
+
+        f.write(f""" 
+- rule: Ticket{intent_name}
+  steps:
+  - intent: {steps['intent']}
+  {output_str}
+  - action: action_service
+  
+""")
+
+
+
+
+
+with open(r'D:\\livecode\\chatbot\\traildata\\nlu.yml', "a",encoding='utf-8') as file:
+    for index, row in df.iterrows():
+        intent_name = row['UniqueId']
+        examples = [row[col] for col in question_cols]
+        file.write(f"""
+- intent: {intent_name}
+  examples: |
+""")
+        for example in examples:
+            file.write(f"    - \"{example}\"\n")
+        file.write("\n")
+
+
+
+# filename = r"C:\Users\Bizgaze\Desktop\fileupdation\trail_update\data\nlu.yml"
+# string_to_remove = '  - "nan"'
+
+# with open(filename, "r") as f:
+#     text = f.read()
+
+# modified_text = text.replace(string_to_remove, "")
+
+# with open(filename, "w") as f:
+#     f.write(modified_text)
+
+# filename = r"C:\Users\Bizgaze\Desktop\fileupdation\trail_update\data\domain.yml"
+# string_to_remove = '  - "nan"'
+
+# with open(filename, "r") as f:
+#     text = f.read()
+
+# modified_text = text.replace(string_to_remove, "")
+
+# with open(filename, "w") as f:
+#     f.write(modified_text)
+
+# filename = r"C:\Users\Bizgaze\Desktop\fileupdation\trail_update\data\rules.yml"
+# string_to_remove = '  - "nan"'
+
+# with open(filename, "r") as f:
+#     text = f.read()
+
+# modified_text = text.replace(string_to_remove, "")
+
+# with open(filename, "w") as f:
 #     f.write(modified_text)
\ No newline at end of file