no es version, no env version

.gitignore

@@ -0,0 +1,5 @@
+.env
+.env2
+.env.local
+.env.*.local
+*.env

app.py

@@ -2,23 +2,21 @@ import os
 import json
 import gradio as gr
 import requests
-from elasticsearch import Elasticsearch
 from dotenv import load_dotenv
 import gradio.components as gc
-from openai import OpenAI
 import uuid
 
 # Load environment variables
 load_dotenv()
 
 # Get sensitive config from environment variables (set these in your .env file)
-ELASTICSEARCH_URL = os.getenv("ELASTICSEARCH_URL")
-ELASTICSEARCH_USER = os.getenv("ELASTICSEARCH_USER")
-ELASTICSEARCH_PASSWORD = os.getenv("ELASTICSEARCH_PASSWORD")
-OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
-AWS_LAMBDA_URL = os.getenv("AWS_LAMBDA_URL")
-GRADIO_AUTH_USERNAME = os.getenv("GRADIO_AUTH_USERNAME")
-GRADIO_AUTH_PASSWORD = os.getenv("GRADIO_AUTH_PASSWORD")
+#ELASTICSEARCH_URL = os.getenv("ELASTICSEARCH_URL")
+#ELASTICSEARCH_USER = os.getenv("ELASTICSEARCH_USER")
+#ELASTICSEARCH_PASSWORD = os.getenv("ELASTICSEARCH_PASSWORD")
+#OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+#AWS_LAMBDA_URL = os.getenv("AWS_LAMBDA_URL")
+GRADIO_AUTH_USERNAME = 'a'#os.getenv("GRADIO_AUTH_USERNAME")
+GRADIO_AUTH_PASSWORD = 'b'#os.getenv("GRADIO_AUTH_PASSWORD")
 
 # Check required env vars (skip Elasticsearch-related)
 missing_vars = []
@@ -30,21 +28,22 @@ if missing_vars:
 
 # Initialize clients
 if ELASTICSEARCH_URL:
-    es = Elasticsearch(
-        ELASTICSEARCH_URL,
-        basic_auth=(str(ELASTICSEARCH_USER), str(ELASTICSEARCH_PASSWORD))
-    )
+    es = None #Elasticsearch(
+        #ELASTICSEARCH_URL,
+        #basic_auth=(str(ELASTICSEARCH_USER), str(ELASTICSEARCH_PASSWORD))
+    #)
 else:
     es = None
 
 # Initialize OpenAI
-openai_client = OpenAI(api_key=OPENAI_API_KEY)
+#openai_client = OpenAI(api_key=OPENAI_API_KEY)
 def chat_completion(messages, model="gpt-3.5-turbo", temperature=0.1):
-    return openai_client.chat.completions.create(
-        model=model,
-        messages=messages,
-        temperature=temperature
-    )
+    #return openai_client.chat.completions.create(
+    #    model=model,
+    #    messages=messages,
+    #    temperature=temperature
+    #)
+    return None
 
 def process_faq(question, user_id="anonymous", model="claude-sonnet"):
     """Process FAQ by calling AWS Lambda function with streaming response"""
@@ -214,4 +213,4 @@ if __name__ == "__main__":
     }
     
     # Launch the app
-    demo.launch(**launch_params) 
+    demo.launch(**launch_params)