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Update app.py
Browse files
app.py
CHANGED
@@ -27,41 +27,40 @@ hf_api = HfApi()
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LLM_MODEL_NAME = config["llm_model_name"]
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LLM_MODEL_TEMPERATURE = float(config["llm_model_temperature"])
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def initialize():
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global kadiAPY_ragchain
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def bot_kadi(chat_history):
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user_query = chat_history[-1][0]
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response = kadiAPY_ragchain.process_query(user_query, chat_history)
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chat_history[-1] = (user_query, response)
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return chat_history
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import gradio as gr
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def add_text_to_chat_history(chat_history, user_input):
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chat_history = chat_history + [(user_input, None)]
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return chat_history, ""
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def show_history(chat_history):
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return chat_history
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def reset_all():
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return [], "", ""
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def main():
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with gr.Blocks() as demo:
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gr.Markdown("## KadiAPY - AI Coding-Assistant")
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gr.Markdown("AI assistant for KadiAPY based on RAG architecture powered by LLM")
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@@ -95,10 +94,10 @@ def main():
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# Use the state to persist chat history between interactions
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user_txt.submit(add_text_to_chat_history, [chat_history, user_txt], [chat_history, user_txt]).then(show_history,[chat_history], [chatbot])\
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.then(bot_kadi, [chat_history], [chatbot])
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submit_btn.click(add_text_to_chat_history, [chat_history, user_txt], [chat_history, user_txt]).then(show_history,[chat_history], [chatbot])\
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.then(bot_kadi, [chat_history], [chatbot])
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clear_btn.click(
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reset_all,
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None,
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@@ -107,5 +106,6 @@ def main():
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demo.launch()
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if __name__ == "__main__":
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main()
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LLM_MODEL_NAME = config["llm_model_name"]
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LLM_MODEL_TEMPERATURE = float(config["llm_model_temperature"])
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class KadiBot:
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def __init__(self):
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# Initialize vector store and language model
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vectorstore = get_chroma_vectorstore(get_SFR_Code_embedding_model(), vectorstore_path)
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llm = get_groq_llm(LLM_MODEL_NAME, LLM_MODEL_TEMPERATURE, GROQ_API_KEY)
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# Initialize RAG chain
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self.kadiAPY_ragchain = KadiApyRagchain(llm, vectorstore)
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def bot_kadi(self, chat_history):
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user_query = chat_history[-1][0]
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response = self.kadiAPY_ragchain.process_query(user_query, chat_history)
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chat_history[-1] = (user_query, response)
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return chat_history
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def add_text_to_chat_history(chat_history, user_input):
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chat_history = chat_history + [(user_input, None)]
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return chat_history, ""
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def show_history(chat_history):
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return chat_history
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def reset_all():
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return [], "", ""
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def main():
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kadi_bot = KadiBot() # Initialize the KadiBot class
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with gr.Blocks() as demo:
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gr.Markdown("## KadiAPY - AI Coding-Assistant")
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gr.Markdown("AI assistant for KadiAPY based on RAG architecture powered by LLM")
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)
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# Use the state to persist chat history between interactions
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user_txt.submit(add_text_to_chat_history, [chat_history, user_txt], [chat_history, user_txt]).then(show_history, [chat_history], [chatbot])\
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.then(kadi_bot.bot_kadi, [chat_history], [chatbot])
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submit_btn.click(add_text_to_chat_history, [chat_history, user_txt], [chat_history, user_txt]).then(show_history, [chat_history], [chatbot])\
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.then(kadi_bot.bot_kadi, [chat_history], [chatbot])
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clear_btn.click(
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reset_all,
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None,
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)
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demo.launch()
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if __name__ == "__main__":
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main()
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