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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,
) |