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import time | |
import streamlit as st | |
import requests | |
headers = {"Authorization": "Bearer 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"} | |
st.title("question-answering-demo") | |
option = st.selectbox('Select a model', ('distilbert-base-cased-distilled-squad', 'roberta-base-squad2-distilled', 'xlm-roberta-large-squad2', 'bert-large-cased-whole-word-masking-finetuned-squad')) | |
if option == "distilbert-base-cased-distilled-squad": | |
API_URL = 'https://api-inference.huggingface.co/models/distilbert-base-cased-distilled-squad' | |
elif option == 'roberta-base-squad2-distilled': | |
API_URL = 'https://api-inference.huggingface.co/models/deepset/roberta-base-squad2-distilled' | |
elif option == 'xlm-roberta-large-squad2': | |
API_URL = "https://api-inference.huggingface.co/models/deepset/xlm-roberta-large-squad2" | |
if option == 'bert-large-cased-whole-word-masking-finetuned-squad': | |
API_URL = 'https://api-inference.huggingface.co/models/bert-large-cased-whole-word-masking-finetuned-squad' | |
st.write(API_URL) | |
text_input = st.text_area("Enter some context👇") | |
text_question = st.text_input("Enter a question regarding that context👇") | |
def query(payload): | |
retries = 0 | |
while True: | |
response = requests.post(API_URL, headers=headers, json=payload) | |
if response.status_code == 200: | |
return response.json() | |
elif response.status_code == 429: | |
retries += 1 | |
wait_time = 2 ** retries | |
print(f"Too many requests. Retrying in {wait_time} seconds...") | |
time.sleep(wait_time) | |
else: | |
print(f"Request failed with status code {response.status_code}.") | |
return None | |
if st.button("Send"): | |
output = query({"inputs": {"question": text_question, "context": text_input}}) | |
st.write(output) | |