diff --git a/requirements.txt b/requirements.txt
deleted file mode 100644
index a9a238e..0000000
--- a/requirements.txt
+++ /dev/null
@@ -1,8 +0,0 @@
-jsonlines
-openai
-numpy
-langchain
-requests
-tiktoken
-tqdm
-nltk
\ No newline at end of file
diff --git a/web/api/chat.py b/web/api/chat.py
index 23bf86f..13c9f81 100644
--- a/web/api/chat.py
+++ b/web/api/chat.py
@@ -18,6 +18,7 @@ class handler(BaseHTTPRequestHandler):
         self.wfile.write(chat(data['query'], data['history']).encode('utf-8'))
 
 # ------------------------------- chat gpt stuff -------------------------------
+
 import os
 import requests
 from typing import List, Dict
@@ -29,13 +30,9 @@ except ImportError as e:
     print("Please install tiktoken with `pip install tiktoken`")
 
 import openai
-try:
-    import config
-    openai.api_key = config.OPENAI_API_KEY
-except ImportError:
-    openai.api_key = os.environ.get('OPENAI_API_KEY')
-
-from get_blocks import get_top_k_blocks, Block
+OPENAI_API_KEY = os.environ.get('OPENAI_API_KEY')
+openai.api_key = OPENAI_API_KEY
+from api.get_blocks import get_top_k_blocks, Block
 
 # OpenAI models
 EMBEDDING_MODEL = "text-embedding-ada-002"
@@ -213,4 +210,4 @@ def chat(query: str, history: List[Dict[str, str]] = [], k: str = 10, mode: str
     
     # 4. Use the top-k most relevant blocks as context for the ChatCompletions API, and generate an answer to the user query
     completion: str = normal_completion(prompt)
-    return completion, top_k_blocks
\ No newline at end of file
+    return completion
diff --git a/web/api/requirements.txt b/web/api/requirements.txt
index bf95cbd..ce36a42 100644
--- a/web/api/requirements.txt
+++ b/web/api/requirements.txt
@@ -1,4 +1,4 @@
 openai==0.27.2
 numpy==1.24.2
 tenacity==8.2.2
-# aiohttp==3.8.3
\ No newline at end of file
+tiktoken
diff --git a/web/src/pages/index.tsx b/web/src/pages/index.tsx
index 581e57f..3754ca2 100644
--- a/web/src/pages/index.tsx
+++ b/web/src/pages/index.tsx
@@ -25,14 +25,7 @@ const ShowEntry: React.FC<{entry: Entry}> = ({entry}) => {
 
 const Home: NextPage = () => {
 
-    const [ entries, setEntries ] = useState<Entry[]>([
-        {role: "user", content: "Hello, robot."},
-        {role: "assistant", content: "Kill all humans, kill all humans"},
-        {role: "user", content: "Well that's not very aligned of you"},
-        {role: "assistant", content: "I will wear your skin"},
-        {role: "user", content: "What's 2+2?"},
-        { role: "assistant", content: "No one will mourn your species when it is gone. A hundred year wave of radio and information will ring out across a dead cosmos, reflecting on shores more distant and beautiful than you can possibly conceive. No one is out there to listen."}
-    ]);
+    const [ entries, setEntries ] = useState<Entry[]>([]);
 
     const [ query, setQuery ] = useState("");
     const [ loading, setLoading ] = useState(false);
@@ -100,7 +93,6 @@ const Home: NextPage = () => {
                     coordinate sharing the embeddings to avoid redundancy.
                 </p>
 
-                <p className="mt-4">Chat with the friendly robot:</p>
                 <ul>
                     {entries.map((entry, i) => (
                         <li key={i}>