app.py

import streamlit as st
import openai
import os

openai.api_key = os.getenv("OPENAI_KEY")

def generate_response(
    prompt,
    temperature=0.7,
    max_tokens=256,
    top_p=0.9,
    n=2,
    stop=None,
    frequency_penalty=0.9,
    presence_penalty=0.9,
    chat_history=None,
):
    if chat_history is None:
        chat_history = []

    messages = [
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": prompt},
    ]
    messages.extend(chat_history)

    response = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=messages,
        temperature=temperature,
        max_tokens=max_tokens,
        top_p=top_p,
        n=n,
        stop=stop,
        frequency_penalty=frequency_penalty,
        presence_penalty=presence_penalty,
    )

    return response["choices"][0]["message"]["content"]


logo1 = "https://www.ramanpre.com/_vercel/image?url=_astro%2Fheadshot.Bg7_IgN-.png&w=750&q=100"

st.set_page_config(
    page_title="Health Care Personal Assistant | Data Admirers",
    page_icon=logo1,
    layout="wide",
)


st.write("# Personal Chatbot for all your health need")

st.sidebar.markdown("# Model Parameters")
temperature = st.sidebar.slider("Temperature", 0.0, 1.0, 0.7, 0.1)
max_tokens = st.sidebar.number_input("Max Tokens", 50, 500, 256, step=50)
top_p = st.sidebar.slider("Top P", 0.1, 1.0, 0.9, 0.1)
n = st.sidebar.number_input("N", 1, 5, 2, step=1)
stop = st.sidebar.text_input("Stop", "")
frequency_penalty = st.sidebar.slider("Frequency Penalty", 0.0, 1.0, 0.9, 0.1)
presence_penalty = st.sidebar.slider("Presence Penalty", 0.0, 1.0, 0.9, 0.1)

user_input = st.text_area("You:", "", key="user_input")
generate_button = st.button("Generate Response")

messages = []
if user_input.strip() != "":
    messages.append({"role": "user", "content": user_input})
    response = generate_response(
        user_input,
        temperature,
        max_tokens,
        top_p,
        n,
        stop,
        frequency_penalty,
        presence_penalty,
    )
    messages.append({"role": "assistant", "content": response})

st.subheader("Chat History")
for message in messages:
    if message["role"] == "user":
        st.text_area(
            "You:",
            value=message["content"],
            height=50,
            max_chars=200,
            key="user_history",
            disabled=True,
        )
    else:
        st.text_area(
            "Jarvis:", value=message["content"], height=500, key="chatbot_history"
        )

st.markdown(
    """
    <style>
        body {
            font-family: Montserrat, sans-serif;
        }
        .stTextInput>div>div>textarea {
            background-color: #f0f0f0;
            color: #000;
        }
        .stButton button {
            background-color: #4CAF50;
            color: white;
            font-weight: bold;
        }
        .stTextArea>div>textarea {
            resize: none;
        }
        .st-subheader {
            margin-top: 20px;
            font-size: 16px;
        }
        .stTextArea>div>div>textarea {
            height: 100px;
        }
    </style>
    """,
    unsafe_allow_html=True,
)