import streamlit as st
from langchain.llms import OpenAI
from langchain.prompts import PromptTemplate
from langchain import FewShotPromptTemplate
from langchain.prompts.example_selector import LengthBasedExampleSelector
from dotenv import load_dotenv

load_dotenv() # load the env-sample.txt file

def getLLMResponse(query, age_option,tasktype_option):
    examples = []
    llm = OpenAI(temperature=.9, model="gpt-3.5-turbo-instruct")


    example_template = """
    Question: {query}
    Response: {answer}
    """

    example_prompt = PromptTemplate(
        input_variables=["query", "answer"],
        template=example_template
    )


    prefix = """You are a {template_ageoption}, and you are going to {template_tasktype_option} , 
    you give one answer for each query. it is strictly limited to 1 answer only, and the answer MUST be LESS THAN 200 words. 
    For a tweet, you SHOULD NOT give more than 280 characters. If it is not to write for a tweet, DO NOT give a tweet suggestion in your answer.
    """

    suffix = """
    Question: {template_userInput}
    Response: """

    example_selector = LengthBasedExampleSelector(
        examples=examples,
        example_prompt=example_prompt,
        max_length = numberOfWords
    )


    new_prompt_template = FewShotPromptTemplate(
        example_selector=example_selector,  # use example_selector instead of examples
        example_prompt=example_prompt,
        prefix=prefix,
        suffix=suffix,
        input_variables=["template_userInput","template_ageoption","template_tasktype_option"],
        example_separator="\n"
    )

  
    print(new_prompt_template.format(template_userInput=query,template_ageoption=age_option,template_tasktype_option=tasktype_option))
    response=llm(new_prompt_template.format(template_userInput=query,template_ageoption=age_option,template_tasktype_option=tasktype_option))
    print(response)

    return response

#UI Starts here
st.set_page_config(page_title="PitchPal: Your Friendly Copy Assistant",
                    page_icon='💻',
                    layout='centered',
                    initial_sidebar_state='collapsed')


# Custom CSS for styling
st.markdown(
    """
    <style>
    .big-font {
        font-size:20px !important;
    }
    .title-font {
        font-size:30px !important;
        font-weight: bold;
    }
    .streamlit-container {
        margin-top: 2rem;
    }
    </style>
    """, unsafe_allow_html=True)


st.markdown("<h1 style='text-align: center'>PitchPal</h1>", unsafe_allow_html=True)
st.markdown("<h3 style='text-align: center'>Your Efficient Sales Copy Assistant</h2>", unsafe_allow_html=True)
st.markdown("<p style='text-align: right'>By <a href='https://entzyeung.github.io/portfolio/index.html'>Lorentz Yeung</a></p>", unsafe_allow_html=True)


#st.title("PitchPal")
#st.subheader("Your Friendly Sales Copy Assistant")
#st.markdown(
#        """     
#        - by [Lorentz Yeung]()
#        """
#        )


# Layout
col1, col2 = st.columns(2)

with col1:
    form_input = st.text_area('Enter the product or service:', 'PlayStation 6', height=100)

with col2:
    tasktype_option = st.selectbox(
        'Marketing copy type:',
        ('Draft a Twitter post', 'Draft a sales copy', 'Draft a product description'),
        index=0) # specifies the default selection by its position in the options list. 0 = the first
    age_option = st.selectbox(
        'Target customers age group:',
        ('below age 18', 'age 18-45', 'age 46-65', 'age > 65'),
        index=1)
    
# numberOfWords= st.slider('Words limit', 1, 200, 25)
numberOfWords = 40 # the new model doesn't support this.

submit = st.button("Generate Your Sales Copy")

if submit:
    st.write(getLLMResponse(form_input,tasktype_option,age_option))