Update app.py

app.py

@@ -80,7 +80,7 @@ def get_pinecone_semantic_index(pinecone):
 
 
 
-def promt_engineer(text, query):
+def prompt_engineer(text, query):
     summary_prompt_template = """
     write a concise summary of the following text delimited by triple backquotes.
     return your response in bullet points which convers the key points of the text.
@@ -171,8 +171,8 @@ def chat_actions():
         bytesize = consolidated_text.encode("utf-8")
         p = math.pow(1024, 2)
         mbsize = round(len(bytesize) / p, 2)
-        st.write(f"Text lenth of {len(consolidated_text)} characters with {mbsize}MB size")
-        summary, response = promt_engineer(consolidated_text[:1024], query)
+        st.write(f"Text length of {len(consolidated_text)} characters with {mbsize}MB size")
+        summary, response = prompt_engineer(consolidated_text[:1024], query)
 
     for res in result['matches']:
         st.session_state["chat_history"].append(