Update app.py

app.py

@@ -48,7 +48,7 @@ def get_similar_quotes(philosopher, question):
   question_embedding = model.encode(question)
   sims = [util.dot_score(question_embedding, quote_embedding) for quote_embedding in df['Embedding']]
   ind = np.argpartition(sims, -5)[-5:]
-  similar_sentences = [df['Quotes'][i] for i in ind]
+  similar_sentences = [df['quote'][i] for i in ind]
   top5quotes = pd.DataFrame(data = similar_sentences, columns=["Quotes"], index=range(1,6))
   top5quotes['Quotes'] = top5quotes['Quotes'].str[:-1].str[:250] + "..."
   return top5quotes
@@ -58,15 +58,15 @@ def main(question, philosopher):
   
   
  ############### BUILDING DEMO ################################
- with gr.Blocks() as demo:
+with gr.Blocks() as demo:
     gr.Markdown("""
     # Ask a Philsopher
     """
     )
     with gr.Row():
         with gr.Column():
-          inp1 = gr.Textbox(placeholder="Place your question here...", label="Ask a question")
-          inp2 = gr.Dropdown(choices=["stoic", "krishnamurti"], value="stoic", label="Choose a philosopher")
+            inp1 = gr.Textbox(placeholder="Place your question here...", label="Ask a question")
+            inp2 = gr.Dropdown(choices=["stoic", "krishnamurti"], value="stoic", label="Choose a philosopher")
 
         with gr.Column():
             out1 = gr.Textbox(