Update app.py
Browse files
app.py
CHANGED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import streamlit as st
|
| 2 |
+
from transformers import pipeline
|
| 3 |
+
|
| 4 |
+
# Title
|
| 5 |
+
st.title("🤖 AI Chatbot - Hugging Face")
|
| 6 |
+
|
| 7 |
+
# Initialize chatbot model
|
| 8 |
+
@st.cache_resource
|
| 9 |
+
def load_chatbot():
|
| 10 |
+
return pipeline("text-generation", model="microsoft/DialoGPT-medium")
|
| 11 |
+
|
| 12 |
+
chatbot = load_chatbot()
|
| 13 |
+
|
| 14 |
+
# User input
|
| 15 |
+
user_input = st.text_input("You:", "")
|
| 16 |
+
|
| 17 |
+
# If user types something
|
| 18 |
+
if user_input:
|
| 19 |
+
# Generate response
|
| 20 |
+
with st.spinner("Chatbot is thinking..."):
|
| 21 |
+
response = chatbot(user_input, max_length=100, do_sample=True, pad_token_id=50256)
|
| 22 |
+
bot_reply = response[0]['generated_text'].split(user_input)[-1].strip()
|
| 23 |
+
st.markdown(f"**Bot:** {bot_reply}")
|