Fixing a few typos.

app.py

@@ -152,13 +152,13 @@ def generate_response(
     scores = [result['_relevance_score'] for result in results]
     snippets_html = "<h4>Snippets</h4>\n" + create_bulleted_list(snippets, scores)
 
-    # Generate the reponse from the LLM
-    stream_reponse = llm_utils.generate_chat_response_streaming(
+    # Generate the response from the LLM
+    stream_response = llm_utils.generate_chat_response_streaming(
         query, '\n\n'.join(snippets)
     )
 
     model_response = ""
-    for chunk in stream_reponse:
+    for chunk in stream_response:
         model_response += chunk.data.choices[0].delta.content
         yield model_response, references_html, snippets_html
 
@@ -207,8 +207,8 @@ with gr.Blocks() as demo:
         label='Top k results', render=False
     )
 
-    # Snippets, sampel questions, search parameters, documentation
-    with gr.Accordion("Snippets / Sample questions / search parameters/ documentation", open=False):
+    # Snippets, sample questions, search parameters, documentation
+    with gr.Accordion("Snippets / sample questions / search parameters / documentation", open=False):
         
         # References and snippets
         with gr.Accordion("References & snippets", open=False):