added checkboxes

app.py

@@ -118,14 +118,50 @@ def get_top_chunks(query, chunk_embeddings, text_chunks):
 # Print the top results
 #print(top_results)
 cleaned_chunks = preprocess_text(academic_tips_text)
+cleaned_chunks2= preprocess_text(extracurricular_ideas)
+cleaned_chunks3= preprocess_text(time_management)
+cleaned_chunks4= preprocess_text(financial_aid)
+
+
 chunk_embeddings = create_embeddings(cleaned_chunks)
+chunk_embeddings2 = create_embeddings(cleaned_chunks2)
+chunk_embeddings3 = create_embeddings(cleaned_chunks3)
+chunk_embeddings4 = create_embeddings(cleaned_chunks4)
+
+
 #AI API being used
 client= InferenceClient("openai/gpt-oss-20b")
 #defining role of AI and user
 
 def respond(message,history):
-    information = get_top_chunks(message, chunk_embeddings, cleaned_chunks)
+    topic_chunks=[]
     messages = [{"role": "assistant", "content": f"You are a friendly, helpful chatbot that gives academic advice to disadvantaged students about their education based on their question. You only answer in complete sentences with correct grammar, punctuation, and complete ideas. When you give advice, keep in mind the following information {information}"}]
+    topic_chunks=[]
+    if chatbot_topic=="Academia":
+        information = get_top_chunks(message, chunk_embeddings, cleaned_chunks)
+        topic_chunks=get_top_chunks(message, chunk_embeddings, cleaned_chunks)
+        print(topic_chunks)
+        information= "/n".join(topic_chunks)
+
+    elif chatbot_topic=="Extracurriculars":
+        information = get_top_chunks(message, chunk_embeddings, cleaned_chunks2)
+        topic_chunks=get_top_chunks(message, chunk_embeddings, cleaned_chunks2)
+        print(topic_chunks)
+        information= "/n".join(topic_chunks)
+
+
+    elif chatbot_topic=="Time Management":
+        information = get_top_chunks(message, chunk_embeddings, cleaned_chunks3)
+        topic_chunks=get_top_chunks(message, chunk_embeddings, cleaned_chunks3)
+        print(topic_chunks)
+        information= "/n".join(topic_chunks)
+
+
+    elif chatbot_topic=="Financial Aid":
+        information = get_top_chunks(message, chunk_embeddings, cleaned_chunks4)
+        topic_chunks=get_top_chunks(message, chunk_embeddings, cleaned_chunks4)
+        print(topic_chunks)
+        information= "/n".join(topic_chunks)
 
 
     if history:
@@ -166,6 +202,8 @@ with gr.Blocks(
         button_primary_background_fill='*secondary_500',
         button_primary_background_fill_dark='*secondary_600'
     )
+    chatbot_topic=gr.CheckboxGroup(["Academia", "Extracurriculars", "Time Management", "Financial Aid"], label="Topics", info="What would you like advice about?")
+
 ) as demo:
 
     gr.ChatInterface(