Update app.py

app.py

@@ -70,7 +70,14 @@ def load_or_create_vector_store(text_chunks):
 
 # Generate summary based on the retrieved text
 def generate_summary_with_huggingface(query, retrieved_text):
+    # Concatenate query and retrieved text for summarization
     summarization_input = f"{query}\n\nRelated information:\n{retrieved_text}"
+    
+    # Truncate input to fit within the model’s token length limit (approximately 1024 tokens)
+    max_input_length = 1024
+    summarization_input = summarization_input[:max_input_length]
+
+    # Generate the summary
     summary = summarizer(summarization_input, max_length=200, min_length=50, do_sample=False)
     return summary[0]["summary_text"]