from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig
import streamlit as st

from peft import PeftModel, PeftConfig

tokenizer = AutoTokenizer.from_pretrained("SSahas/openai_community_med_e3")
#model = AutoModelForCausalLM.from_pretrained("SSahas/openai_community_med_e3")

config = PeftConfig.from_pretrained("SSahas/openai_community_med_e3")
model = AutoModelForCausalLM.from_pretrained("openai-community/gpt2-medium")
model = PeftModel.from_pretrained(model, "SSahas/openai_community_med_e3")


def response_generator(prompt):
    input_text = tokenizer.apply_chat_template(
        prompt, tokenize=False, truncation=False, add_generation_prompt=True)
    print(input_text)
    input_ids = tokenizer(input_text, padding=True, return_tensors="pt")
    output_ids = model.generate(input_ids=input_ids['input_ids'], generation_config=GenerationConfig(
        max_new_tokens=30, pad_token_id=50256))
    output = tokenizer.decode(
        output_ids[0][input_ids['input_ids'].shape[1]:], skip_special_tokens=True)

    return output


st.title("Simple friendly chatbot for normal conversations")

# Initialize chat history
if "messages" not in st.session_state:
    st.session_state.messages = []

# Display chat messages from history on app rerun
for message in st.session_state.messages:
    with st.chat_message(message["role"]):
        st.markdown(message["content"])

# Accept user input
if prompt := st.chat_input("What is up?"):
    # Add user message to chat history
    st.session_state.messages.append({"role": "user", "content": prompt})
    # Display user message in chat message container
    with st.chat_message("user"):
        st.markdown(prompt)

    # Display assistant response in chat message container
    with st.chat_message("assistant"):
        # response = st.write(response_generator(prompt))
        # print(prompt)
        print(st.session_state.messages)
        response = response_generator(st.session_state.messages)
        st.write(response)
    # Add assistant response to chat history
    st.session_state.messages.append(
        {"role": "assistant", "content": response})