Delete helperbot_bigdl.py

helperbot_bigdl.py

@@ -1,46 +0,0 @@
-from models.whisper_model import AudioTranslator
-from models.llm_model import LlmReasoner
-
-
-class Chat:
-
-    def __init__(self, args) -> None:
-        self.args = args
-
-    def init_model(self):
-        print('\033[1;33m' + "Initializing models...".center(50, '-') + '\033[0m')
-        self.audio_translator = AudioTranslator(self.args)
-        self.llm_reasoner = LlmReasoner(self.args)
-
-        print('\033[1;32m' + "Model initialization finished!".center(50, '-') + '\033[0m')
-
-    def video2log(self, video_path):
-        audio_results = self.audio_translator(video_path)
-
-        en_log_result = []
-        en_log_result_tmp = ""
-        audio_transcript = self.audio_translator.match(audio_results)
-        en_log_result_tmp += f"\n{audio_transcript}"
-
-        en_log_result.append(en_log_result_tmp)
-
-        en_log_result = "\n\n".join(en_log_result)
-        print(f"\033[1;34mLog: \033[0m\n{en_log_result}\n")
-
-        return en_log_result
-
-    def chat2video(self, args, user_input, en_log_result):
-        self.llm_reasoner.create_qa_chain(args, en_log_result)
-        en_user_input = user_input
-
-        print("\n\033[1;32mGnerating response...\033[0m")
-        answer, generated_question, source_documents = self.llm_reasoner(en_user_input)
-        print(f"\033[1;32mQuestion: \033[0m{user_input}")
-        print(f"\033[1;32mAnswer: \033[0m{answer[0][1]}")
-        self.clean_history()
-
-        return answer, generated_question, source_documents
-
-    def clean_history(self):
-        self.llm_reasoner.clean_history()
-        return