| |
|
|
| import streamlit as st |
| import requests |
| import json |
|
|
| import datetime |
| print(datetime.datetime.now(),"Program start.") |
|
|
| def get_prediction_aiclub(s): |
| data={"Tweet_Text":s} |
| url = 'https://askai.aiclub.world/bb38c320-72aa-4397-be1c-77bc95787625' |
| r = requests.post(url, data=json.dumps(data)) |
| response = getattr(r,'_content').decode("utf-8") |
| print("Response:",response) |
| b1=json.loads(response)["body"] |
| j2=json.loads(b1) |
| p=j2["predicted_label"] |
| confidence=j2["confidence_score"] |
| s=sorted(confidence.items(), key=lambda x: x[1], reverse=True) |
| return p,s |
|
|
| st.title("Hate Speech Detector") |
| sentence=st.text_input('Sentence to analyze') |
|
|
| labels=['Homophobe', 'Sexist', 'OtherHate', 'NotHate', 'Religion', 'Racist'] |
| msgs={ |
| 'Homophobe': 'Determined this to be a homophobic comment', |
| 'Sexist':'AI says that this message is sexist', |
| 'OtherHate':'AI believes that this is a hateful message', |
| 'NotHate':'AI determines that this is not a hateful message', |
| 'Religion':'AI determined this comment to be hateful to religious people', |
| 'Racist':' AI says that this message is racist' |
| } |
|
|
| paras={ |
| 'Homophobe': 'Paragrapg for homophobic comments. \nSecond line for homophobic comment', |
| 'Sexist':'Para for AI says that this message is sexist', |
| 'OtherHate':'Para for other hateful message', |
| 'NotHate':'Para for not a hateful message', |
| 'Religion':'Para for hateful to religious people', |
| 'Racist':'Para for racist' |
| } |
|
|
| if sentence: |
| print("*************\nSentence:",sentence) |
| (pr,s)=get_prediction_aiclub(sentence) |
| cv=s[0][1]*100 |
| print(f"Saw {pr} with {s} for {cv}") |
| c=f" with confidence: {cv:.1f}%" |
| m=msgs[pr] |
| p=paras[pr] |
| |
| print(p+c+m) |
| st.title(m+c) |
| st.text(p) |
| print(datetime.datetime.now(),"Program end.") |
|
|
