--- a
+++ b/main.py
@@ -0,0 +1,85 @@
+import tensorflow as tf
+from transformers import GPT2Tokenizer, TFGPT2LMHeadModel, AutoTokenizer, TFAutoModel
+from modules.chatbot.inferencer import Inferencer
+from modules.chatbot.dataloader import convert, get_bert_index, get_dataset
+from modules.chatbot.config import Config as CONF
+from colorama import Fore, Back, Style
+import warnings
+import logging
+
+warnings.filterwarnings("ignore")
+logging.basicConfig(level=logging.CRITICAL)
+
+
+def main():
+    # Load the chatbot model from the config.
+    gpt2_tokenizer = GPT2Tokenizer.from_pretrained(CONF.chat_params["gpt_tok"])
+    medi_qa_chatGPT2 = TFGPT2LMHeadModel.from_pretrained(
+        CONF.chat_params["tf_gpt_model"]
+    )
+    biobert_tokenizer = AutoTokenizer.from_pretrained(CONF.chat_params["bert_tok"])
+    try:
+        question_extractor_model_v1 = tf.keras.models.load_model(
+            CONF.chat_params["tf_q_extractor"]
+        )
+    except Exception as e:
+        print(e)
+
+    df_qa = get_dataset(CONF.chat_params["data"])
+    max_answer_len = CONF.chat_params["max_answer_len"]
+    isEval = CONF.chat_params["isEval"]
+
+    # Get answer index from Answer from FFNN embedding column.
+    answer_index = get_bert_index(df_qa, "A_FFNN_embeds")
+
+    # Make chatbot inference object
+    cahtbot = Inferencer(
+        medi_qa_chatGPT2,
+        biobert_tokenizer,
+        gpt2_tokenizer,
+        question_extractor_model_v1,
+        df_qa,
+        answer_index,
+        max_answer_len,
+    )
+
+    # Start chatbot
+    print("========================================")
+    print(Back.BLUE + "          Welcome to MediChatBot        " + Back.RESET)
+    print("========================================")
+    print("If you enter quit, q, stop, chat will be ended.")
+    print(
+        "MediChatBot v1 is not an official service and is not responsible for any usage."
+    )
+    print(
+        "Please enter your message below.\nThis chatbot is not sufficiently trained and the dataset is not properly cleaned, so it does not have a meaning beyond the demo version."
+    )
+
+    # Chat
+    while True:
+        user_input = input(Fore.BLUE + "You: " + Fore.RESET)
+        if user_input.lower() in ["quit", "q", "stop"]:
+            print("========================================")
+            print(
+                Fore.RED
+                + "              Chat Ended.          "
+                + Fore.RESET
+                + "\n\nThank you for using DSDanielPark's chatbot. Please visit our GitHub and Hugging Face for more information. \n\n - github: https://github.com/DSDanielPark/GPT-BERT-Medical-QA-Chatbot \n - hugging-face: https://huggingface.co/datasets/danielpark/MQuAD-v1 "
+            )
+            print("========================================")
+            break
+
+        response = cahtbot.run(user_input, isEval)
+        print(
+            Fore.BLUE
+            + Style.BRIGHT
+            + "MediChatBot: "
+            + response
+            + Fore.RESET
+            + Style.RESET_ALL
+        )
+        response = ""
+
+
+if __name__ == "__main__":
+    main()