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from gradio_client import Client
import threading
def generate_textrank_summary(research_paper_text):
client = Client("raannakasturi/TextRankSummarizer")
summary = client.predict(
text_corpus=research_paper_text,
api_name="/textrank_summarizer"
)
return summary
def generate_luhn_summary(research_paper_text):
client = Client("raannakasturi/LuhnSummarizer")
summary = client.predict(
text_corpus=research_paper_text,
api_name="/luhn_summarizer"
)
return summary
def sanitize_text(input_string):
try:
encoded_bytes = input_string.encode("utf-8")
decoded_string = encoded_bytes.decode("utf-8")
return decoded_string
except UnicodeEncodeError as e:
print(f"Encoding error: {e}")
raise
except UnicodeDecodeError as e:
print(f"Decoding error: {e}")
raise
def generate_math_summary(research_paper_text):
sanitized_text = sanitize_text(research_paper_text)
try:
textrank_summary = luhn_summary = None
def run_textrank():
nonlocal textrank_summary
textrank_summary = generate_textrank_summary(sanitized_text)
def run_luhn():
nonlocal luhn_summary
luhn_summary = generate_luhn_summary(sanitized_text)
threads = []
threads.append(threading.Thread(target=run_textrank))
threads.append(threading.Thread(target=run_luhn))
for thread in threads:
thread.start()
for thread in threads:
thread.join()
math_summary = textrank_summary.replace("\n", "") + luhn_summary.replace("\n", "")
return math_summary
except Exception as e:
print(e)
return False |