fix settings

app.py

@@ -47,14 +47,16 @@ documents = text_loader.load()
 
 # 2. CREATE TEXT SPLITTER AND SPLIT DOCUMENTS
 text_splitter = RecursiveCharacterTextSplitter(
-    chunk_size=1000, chunk_overlap=30)
+    chunk_size=1000, 
+    chunk_overlap=30
+)
 split_documents = text_splitter.split_documents(documents)
 
 # 3. LOAD HUGGINGFACE EMBEDDINGS
 hf_embeddings = HuggingFaceEndpointEmbeddings(
     model=HF_EMBED_ENDPOINT,
     task="feature-extraction",
-    token=HF_TOKEN
+    huggingfacehub_api_token=HF_TOKEN,
 )
 
 

solution_app.py

@@ -78,12 +78,7 @@ async def main():
         pbars = []
         
         for i, batch in enumerate(batches):
-            
-            pbar = tqdm(
-                total=len(batch), 
-                desc=f"Batch {i+1}/{len(batches)}", 
-                position=i
-                )
+            pbar = tqdm(total=len(batch), desc=f"Batch {i+1}/{len(batches)}", position=i)
             pbars.append(pbar)
             
             if i == 0:
@@ -174,7 +169,7 @@ async def start_chat():
     cl.user_session.set("lcel_rag_chain", lcel_rag_chain)
 
 @cl.on_message  
-async def main_app(message: cl.Message):
+async def main(message: cl.Message):
     """
     This function will be called every time a message is recieved from a session.