Update app.py

app.py

@@ -3,7 +3,6 @@ from huggingface_hub import InferenceClient
 import torch
 from sentence_transformers import SentenceTransformer
 
-
 client = InferenceClient("microsoft/phi-4")
 
 #Loading the bio spec txt file
@@ -27,7 +26,7 @@ def preprocess_text(text):
 bio_chunks = preprocess_text(bio_spec_text)
 
 #Loading sentance transformer model and then embedding the chunks (idrk it was on colab)
-embedding_model = SentanceTransformer("all-MiniLM-L6-v2")
+embedding_model = SentenceTransformer("all-MiniLM-L6-v2")
 
 chunk_embeddings = embedding_model.encode(bio_chunks, convert_to_tensor=True)
 
@@ -56,13 +55,12 @@ def respond(message, history):
     global chosen_topic
 
     #Getting the relevnt parts from the txt file
-
     relevant_chunks = get_top_chunks(message, chunk_embeddings, bio_chunks, top_k=4)
     spec_content = "\n".join(relevant_chunks)
 
     system_prompt = (
         f"You are a friendly GCSE Biology tutor focusing on **{chosen_topic}**.\n"
-        f"Use the following specification excerpts to answer:\n{spec_context}"
+        f"Use the following specification excerpts to answer:\n{spec_content}"
     )
 
     messages = [{"role": "system", "content": system_prompt}]