File size: 2,498 Bytes
250f3b0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 |
import streamlit as st
from huggingface_hub import InferenceClient
import os
# Initialize the client with the token
client = InferenceClient("Dolly135/Pen_Model", token=os.getenv("token"))
# Define the respond function
def respond(
message: str,
history: list, # To store the conversation history
system_message: str,
temperature: float,
top_p: float,
max_new_tokens: int, # New parameter for max tokens
):
# Initialize messages with the system message
messages = [{"role": "system", "content": system_message}]
# Append history messages
messages.extend(history)
# Append the current user message
messages.append({"role": "user", "content": message})
try:
response = ""
for msg in client.text_generation(
messages,
stream=True,
temperature=temperature,
top_p=top_p,
max_new_tokens=max_new_tokens, # Pass max tokens to model
):
token = msg.choices[0].delta.content
response += token
yield response
except Exception as e:
yield f"An error occurred: {str(e)}"
# Streamlit setup
def main():
# Sidebar for system settings
st.sidebar.title("Model Settings")
system_message = st.sidebar.text_input("System message", "You are Pen.")
max_new_tokens = st.sidebar.slider("Max new tokens", 1, 2048, 512)
temperature = st.sidebar.slider("Temperature", 0.1, 4.0, 0.7)
top_p = st.sidebar.slider("Top-p (nucleus sampling)", 0.1, 1.0, 0.95)
# Chat history
if 'history' not in st.session_state:
st.session_state.history = []
# Input field for user message
message = st.text_input("You:", "")
# Submit button
if st.button("Send"):
# Respond to the user
response = ""
if message:
for response_text in respond(
message,
st.session_state.history,
system_message,
temperature,
top_p,
max_new_tokens
):
response = response_text
# Update history and show conversation
if response:
st.session_state.history.append({"role": "user", "content": message})
st.session_state.history.append({"role": "assistant", "content": response})
st.text_area("Conversation", value=str(st.session_state.history), height=300)
# Run the app
if __name__ == "__main__":
main()
|