Spaces:
Sleeping
Sleeping
Create app.py
Browse files
app.py
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import streamlit as st
|
| 2 |
+
from transformers import AutoTokenizer, AutoModelForCausalLM
|
| 3 |
+
|
| 4 |
+
tokenizer = AutoTokenizer.from_pretrained("luohoa97/PersonalBot")
|
| 5 |
+
model = AutoModelForCausalLM.from_pretrained("luohoa97/PersonalBot")
|
| 6 |
+
|
| 7 |
+
st.title("🎉 Welcome to the Personal Bot! 🎉")
|
| 8 |
+
|
| 9 |
+
user_input = st.text_input("Type your message here: ")
|
| 10 |
+
|
| 11 |
+
if st.button("Generate! 🚀"):
|
| 12 |
+
inputs = tokenizer(user_input, return_tensors="pt")
|
| 13 |
+
outputs = model.generate(**inputs, max_length=100)
|
| 14 |
+
|
| 15 |
+
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
|
| 16 |
+
|
| 17 |
+
st.write(f"🤖 Response: {response}")
|