Spaces:
Sleeping
Sleeping
File size: 1,059 Bytes
71e32ed 081190f 9b32fcd 081190f 9b32fcd 081190f 9b32fcd 081190f 9b32fcd |
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 |
import streamlit as st
from transformers import AutoTokenizer, AutoModelForCausalLM
# Load your model and tokenizer
model_name = "CJHauser/PrisimAI-chat"
tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=True)
model = AutoModelForCausalLM.from_pretrained(model_name)
# Streamlit App
st.set_page_config(page_title="PrisimAI Chatbot")
st.title("🤖 PrisimAI Chatbot")
# User prompt
user_input = st.text_input("Ask something:", placeholder="e.g. What is AI?")
if user_input:
with st.spinner("Thinking..."):
inputs = tokenizer(user_input, return_tensors="pt")
outputs = model.generate(
inputs["input_ids"],
max_length=150,
do_sample=True,
temperature=0.7,
top_p=0.9,
pad_token_id=tokenizer.eos_token_id
)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
# Remove the original prompt from the response if repeated
response = response.replace(user_input, "").strip()
st.markdown(f"**Response:** {response}")
|