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from gensim.parsing.preprocessing import STOPWORDS | |
import wikipedia | |
import gradio as gr | |
from gradio.mix import Parallel | |
import requests | |
import nltk | |
from nltk.tokenize import word_tokenize | |
from nltk.tokenize import sent_tokenize | |
import re | |
nltk.download('punkt') | |
def opendomain(text): | |
question_words = STOPWORDS.union(set(['likes','play','.',',','like',"don't",'?','use','choose','important','better','?'])) | |
lower_text = text.lower() | |
lower_text = word_tokenize(lower_text) | |
new_text = [i for i in lower_text if i not in question_words] | |
new_txt = "".join(new_text) | |
r = requests.post( | |
url="https://jaimin-new-content.hf.space/run/predict", | |
json={"data": [new_txt, "en"]}, | |
) | |
response = r.json() | |
text1 = response["data"] | |
final_out = text1[0] | |
final_out=re.sub(r'\=.+\=', '', final_out) | |
result = list(filter(lambda x: x != '', final_out.split('\n\n'))) | |
answer = [] | |
for i in range(6): | |
if len(result[i]) > 500: | |
summary_point=result[i].split(".")[0] | |
answer.append(summary_point) | |
l = [] | |
for i in range(len(answer)): | |
l.append("".join(answer[i])) | |
gen_output = [] | |
for i in range(len(l)): | |
gen_output.append(l[i] + ".") | |
listToStr = ' '.join([str(elem) for elem in gen_output]) | |
listToStr = listToStr.replace("\n", "") | |
return listToStr | |
#return final_answer | |
iface = gr.Interface(fn=opendomain, inputs=[gr.inputs.Textbox(lines=5)], outputs="text") | |
iface.launch() | |