Update app.py

app.py

@@ -1,9 +1,9 @@
 import os
-os.system('pip install pinecone pandas datasets sentence-transformers')
+os.system('pip install tqdm bitsandbytes tiktoken g4f pinecone-client pandas datasets sentence-transformers')
 
 # Setup and load your keys
 import os
-#from g4f import ChatCompletion
+from g4f import ChatCompletion
 #from google.colab import userdata
 from pinecone import Pinecone
 import pandas as pd
@@ -21,7 +21,7 @@ os.environ["PINECONE_ENVIRONMENT"] = "us-east-1"
 os.environ["PINECONE_API_KEY"] = "3a3e9022-381d-436e-84cb-ba93464d283e"
 
 # Retrieve the Pinecone API key from the user
-PINECONE_API_KEY = userdata.get("PINECONE_API_KEY")  # Use the key you set in the secrets
+PINECONE_API_KEY = "3a3e9022-381d-436e-84cb-ba93464d283e"  # Use the key you set in the secrets
 PINECONE_ENVIRONMENT = "us-east-1"  # Use the environment you set in the secrets
 
 # Initialize Pinecone with the API key
@@ -44,7 +44,7 @@ def print_current_selection():
 INDEX_NAME = 'vestidos'
 
 # Obtener la clave API de Pinecone
-PINECONE_API_KEY = userdata.get('PINECONE_API_KEY')
+#PINECONE_API_KEY = userdata.get('PINECONE_API_KEY')
 
 def connect_to_pinecone(index_name):
     global INDEX_NAME
@@ -79,7 +79,7 @@ if 'EMBED_MODEL' not in globals() or EMBED_MODEL is None:
     raise ValueError("EMBED_MODEL is not set. Please select an embedding model first.")
 
 # Inicializar cliente de Pinecone
-PINECONE_API_KEY = userdata.get('PINECONE_API_KEY')
+#PINECONE_API_KEY = userdata.get('PINECONE_API_KEY')
 pc = Pinecone(api_key=PINECONE_API_KEY)
 
 # Inicializar el índice de Pinecone