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import streamlit as st
from huggingface_hub import InferenceClient
client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
def respond(
message,
history: list[tuple[str, str]],
system_message,
max_tokens,
temperature,
top_p,
):
messages = [{"role": "system", "content": system_message}]
for val in history:
if val[0]:
messages.append({"role": "user", "content": val[0]})
if val[1]:
messages.append({"role": "assistant", "content": val[1]})
messages.append({"role": "user", "content": message})
response = ""
for message in client.chat_completion(
messages,
max_tokens=max_tokens,
stream=True,
temperature=temperature,
top_p=top_p,
):
token = message.choices[0].delta.content
response += token
return response
def send_message():
message = st.session_state["new_message"]
if message:
st.session_state.history.append((message, ""))
response = respond(
message=message,
history=st.session_state.history,
system_message=st.session_state.system_message,
max_tokens=st.session_state.max_tokens,
temperature=st.session_state.temperature,
top_p=st.session_state.top_p,
)
st.session_state.history[-1] = (message, response)
st.session_state["new_message"] = ""
# Streamlit UI
st.title("Emotional Support Chatbot")
st.write("Hello! I'm here to support you emotionally and answer any questions. How are you feeling today?")
st.markdown("<p style='color:green;'>Developed by Hashir Ehtisham</p>", unsafe_allow_html=True)
# Set default system message directly
if 'system_message' not in st.session_state:
st.session_state.system_message = "You are a friendly Emotional Support Chatbot."
with st.expander("Settings"):
max_tokens_options = [64, 128, 256, 512, 1024, 2048]
temperature_options = [0.1, 0.3, 0.5, 0.7, 1.0, 1.5, 2.0, 3.0, 4.0]
top_p_options = [0.1, 0.2, 0.3, 0.5, 0.7, 0.8, 0.9, 0.95, 1.0]
max_tokens = st.selectbox("Max new tokens", options=max_tokens_options, index=max_tokens_options.index(512), key="max_tokens")
temperature = st.selectbox("Temperature", options=temperature_options, index=temperature_options.index(0.7), key="temperature")
top_p = st.selectbox("Top-p (nucleus sampling)", options=top_p_options, index=top_p_options.index(0.95), key="top_p")
if 'history' not in st.session_state:
st.session_state.history = []
# Display chat history above the message input
st.text_area("Chat History", value="\n\n".join([f"User: {h[0]}\n\nBot: {h[1]}" for h in st.session_state.history]), height=400, key="chat_history")
message = st.text_input("Your message", key="new_message", on_change=send_message) |