Spaces:
Sleeping
Sleeping
import streamlit as st | |
from streamlit_chat import message | |
import requests | |
API_URL = "https://api-inference.huggingface.co/models/facebook/blenderbot-400M-distill" | |
API_TOKEN = "YOUR API TOKEN HERE" | |
headers = {"Authorization": f"Bearer {API_TOKEN}"} | |
st.header("🤖Yunwoong's BlenderBot (Demo)") | |
st.markdown("[Be Original](https://yunwoong.tistory.com/)") | |
if 'generated' not in st.session_state: | |
st.session_state['generated'] = [] | |
if 'past' not in st.session_state: | |
st.session_state['past'] = [] | |
def query(payload): | |
response = requests.post(API_URL, headers=headers, json=payload) | |
return response.json() | |
with st.form('form', clear_on_submit=True): | |
user_input = st.text_input('You: ', '', key='input') | |
submitted = st.form_submit_button('Send') | |
if submitted and user_input: | |
output = query({ | |
"inputs": { | |
"past_user_inputs": st.session_state.past, | |
"generated_responses": st.session_state.generated, | |
"text": user_input, | |
}, | |
"parameters": {"repetition_penalty": 1.33}, | |
}) | |
st.session_state.past.append(user_input) | |
st.session_state.generated.append(output["generated_text"]) | |
if st.session_state['generated']: | |
for i in range(len(st.session_state['generated'])-1, -1, -1): | |
message(st.session_state['past'][i], is_user=True, key=str(i) + '_user') | |
message(st.session_state["generated"][i], key=str(i)) | |