Increase concurrency limit for summarizer and remove print statements from summary generation functions

app.py

@@ -43,7 +43,7 @@ with gr.Blocks(theme=theme, title="ReXplore Summarizer", fill_height=True) as ap
         rexplore_summarizer,
         inputs=[text_corpus],
         outputs=[raw_data, summary, mindmap],
-        concurrency_limit=1,
+        concurrency_limit=25,
         scroll_to_output=True,
         show_api=True,
         api_name="rexplore_summarizer",
@@ -51,4 +51,4 @@ with gr.Blocks(theme=theme, title="ReXplore Summarizer", fill_height=True) as ap
     )
     clear_btn.click(clear_everything, inputs=[text_corpus, raw_data, summary, mindmap], outputs=[text_corpus, raw_data, summary, mindmap], show_api=False)
 
-app.queue(default_concurrency_limit=1).launch(show_api=True)
+app.queue(default_concurrency_limit=25).launch(show_api=True)

math_summarizer.py

@@ -2,7 +2,6 @@ from gradio_client import Client
 import threading
 
 def generate_textrank_summary(research_paper_text):
-    print("Generating TextRank summary")
     client = Client("raannakasturi/TextRankSummarizer")
     summary = client.predict(
         text_corpus=research_paper_text,
@@ -11,7 +10,6 @@ def generate_textrank_summary(research_paper_text):
     return summary
 
 def generate_luhn_summary(research_paper_text):
-    print("Generating Luhn summary")
     client = Client("raannakasturi/LuhnSummarizer")
     summary = client.predict(
         text_corpus=research_paper_text,
@@ -32,7 +30,6 @@ def sanitize_text(input_string):
         raise
 
 def generate_math_summary(research_paper_text):
-    print("Generating math summary")
     sanitized_text = sanitize_text(research_paper_text)
     try:
         textrank_summary = luhn_summary = lsa_summary = lexrank_summary = None
@@ -50,7 +47,6 @@ def generate_math_summary(research_paper_text):
         for thread in threads:
             thread.join()
         math_summary = textrank_summary.replace("\n", "") + luhn_summary.replace("\n", "")
-        print("Math summary generated")
         return math_summary
     except Exception as e:
         print(e)

nlp_summarizer.py

@@ -1,7 +1,6 @@
 import threading
 
 def generate_nlp_summary(client, temp_summary):
-    print("Generating NLP Summary")
     try:
         completion = client.chat.completions.create(
             model="hf:meta-llama/Meta-Llama-3.1-405B-Instruct",
@@ -15,7 +14,6 @@ def generate_nlp_summary(client, temp_summary):
         return False
 
 def generate_nlp_mindmap(client, temp_summary):
-    print("Generating NLP Mindmap")
     try:
         completion = client.chat.completions.create(
             model="hf:meta-llama/Meta-Llama-3.1-405B-Instruct",
@@ -53,5 +51,4 @@ def generate_nlp_summary_and_mindmap(client, temp_summary):
         thread.start()
     for thread in threads:
         thread.join()
-    print("NLP Summary and Mindmap generated")
     return response