cleaned chunks

app.py

@@ -2,9 +2,21 @@ import gradio as gr
 from huggingface_hub import InferenceClient
 with open("knowledge.txt" , "r", encoding="utf-8") as f:
     knowledge_base = f.read()
+
 print(knowledge_base)
 
-client = InterferenceClient("google/gemma-3-27b-it")
+cleaned_text = knowledge_base.strip()
+
+chunks = cleaned_text.split("\n")
+cleaned_chunks = []
+
+for chunk in chunks:
+  stripped_chunk = chunk.strip()
+  if stripped_chunk:
+    cleaned_chunks.append(stripped_chunk)
+print(cleaned_chunks)
+
+client = InferenceClient("google/gemma-3-27b-it")
 
 def respond(message,history):
     messages = [{"role": "system" , "content" : "You're a supportive and helpful feminist"}]