Update app.py

app.py

@@ -5,7 +5,6 @@ import PyPDF2
 import gradio as gr
 from langchain.prompts import PromptTemplate
 from langchain.chains.summarize import load_summarize_chain
-from langchain_core.documents import Document
 from pathlib import Path
 from langchain_huggingface import ChatHuggingFace, HuggingFaceEndpoint
 
@@ -61,12 +60,10 @@ Using the essay summary and the answers to the interesting questions, create a c
         input_variables=['TEXT']    
     )
     
-    summary = ""
-    while len(summary.split()) < 100:
-        formatted_prompt = prompt.format(TEXT=text)
-        output_summary = llm_engine_hf.invoke(formatted_prompt)
-        summary = output_summary.content
-    return summary
+    formatted_prompt = prompt.format(TEXT=text)
+    output_summary = llm_engine_hf.invoke(formatted_prompt)
+    
+    return output_summary.content
 
 def download_summary(output_text):
     if output_text: