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d66ab84 395bf0a d66ab84 fbe321c 395bf0a fbe321c 395bf0a fbe321c 395bf0a fbe321c 395bf0a fbe321c 395bf0a fbe321c 395bf0a fbe321c 395bf0a fbe321c 395bf0a fbe321c 395bf0a fbe321c 395bf0a | 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 | import streamlit as st
from transformers import pipeline
# --------------------------------
# Streamlit Page Settings
# --------------------------------
st.set_page_config(
page_title="AI Chatbot",
layout="centered"
)
st.title("🤖 AI Chatbot")
st.write("Chat with MiniCPM 1B model")
# --------------------------------
# Load Model
# --------------------------------
@st.cache_resource
def load_model():
generator = pipeline(
"text-generation",
model="openbmb/MiniCPM5-1B"
)
return generator
# Load the model
generator = load_model()
# --------------------------------
# User Input
# --------------------------------
user_input = st.text_area(
"Enter your prompt:"
)
# --------------------------------
# Generate Response
# --------------------------------
if st.button("Generate Response"):
if user_input.strip() != "":
with st.spinner("Generating response..."):
try:
result = generator(
user_input,
max_new_tokens=100,
do_sample=True,
temperature=0.7
)
answer = result[0]["generated_text"]
st.success(answer)
except Exception as e:
st.error(f"Error: {str(e)}")
else:
st.warning("Please enter a prompt.") |