File size: 1,299 Bytes
87a4d41
 
9556416
 
 
 
 
87a4d41
 
 
9556416
87a4d41
9556416
 
 
 
 
 
 
 
 
 
 
 
 
 
 
87a4d41
9556416
 
 
 
 
 
87a4d41
 
 
9556416
87a4d41
9556416
87a4d41
9556416
 
 
 
 
 
 
 
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
import logging

import streamlit as st
import os
import requests


logger = logging.getLogger(__name__)


def query(text):
    logger.info("Query the API with the text: %s" % text)
    API_URL = "https://api-inference.huggingface.co/models/j-hartmann/emotion-english-distilroberta-base"
    headers = {"Authorization": "Bearer " + os.environ["HF_API_KEY"]}
    payload = {"inputs": text}
    response = requests.post(API_URL, headers=headers, json=payload)
    return response.json()


# Initialize the `prompts` session state
if "prompts" not in st.session_state:
    st.session_state.prompts = []

col1, col2 = st.columns(2)

with col1:
    if st.button("Add query"):
        st.session_state.prompts.append(("", None))
    if st.button("Remove query"):
        st.session_state.prompts.pop(0)


def card(index: int):
    def on_change():
        prompt = st.session_state[f"prompt_{index}"]
        result = query(prompt)
        st.session_state.prompts[index] = (prompt, result)

    st.text_input("Prompt:", key=f"prompt_{index}", value=st.session_state.prompts[index][0], on_change=on_change)

    prompt, result = st.session_state.prompts[index]

    st.write(f'Prompt: "{prompt}"')
    st.json(result)


with col2:
    for index in range(len(st.session_state.prompts)):
        card(index)