| import yfinance as yf | |
| from transformers import pipeline | |
| from collections import Counter | |
| import gradio as gr | |
| def search(symbol): | |
| bot=pipeline('sentiment-analysis') | |
| ticker=yf.Ticker(symbol) | |
| pos=0 | |
| neg=0 | |
| neu=0 | |
| news=ticker.news | |
| for item in news[:100]: | |
| content=item['content']['title'] | |
| result=bot(content) | |
| sentiment=result[0]['label'] | |
| if sentiment=='POSITIVE': | |
| pos+=1 | |
| elif sentiment=='NEGATIVE': | |
| neg+=1 | |
| else: | |
| neu+=1 | |
| print('Positive news: '+str(pos)) | |
| print('Negative news: '+str(neg)) | |
| print('Neutral news: '+str(neu)) | |
| if pos>neg and pos>neu: | |
| overall='BULLISH' | |
| elif neg>pos and neg>neu: | |
| overall='BEARISH' | |
| else: | |
| overall='NEUTRAL' | |
| return 'Out of 10 results'+'\nPositive news: '+str(pos)+'\nNegative news: '+str(neg)+'\nNeutral news: '+str(neu)+'\n'+'Overall Sentiment: '+overall | |
| with gr.Blocks(theme=gr.themes.Soft()) as window: | |
| gr.Markdown('## Market Sentiment Analysis') | |
| inp=gr.Textbox(label='Enter Ticker correctly',placeholder='For example:AAPL') | |
| btn=gr.Button('Search') | |
| display=gr.TextArea(label=' ') | |
| btn.click(fn=search,inputs=inp,outputs=display) | |
| window.launch() | |