Update app.py

app.py

@@ -9,8 +9,8 @@ Original file is located at
 
 # !pip install langchain openai qdrant-client gradio pandas tiktoken -U langchain-community
 
-from google.colab import userdata
-openai_api_key=userdata.get('openai_api_key')
+# from google.colab import userdata
+# openai_api_key=userdata.get('openai_api_key')
 
 import gradio as gr
 import pandas as pd
@@ -21,10 +21,19 @@ from langchain.vectorstores import Qdrant
 from langchain.chains import VectorDBQA
 from langchain.llms import OpenAI
 
-qdrant_url=userdata.get('Qdrant')
-qdrant_api_key=userdata.get('qdrant_api_key')
-openai_api_key=userdata.get('openai_api_key')
-# groq_api_key=userdata.get('GROQ_API_KEY')
+# qdrant_url=userdata.get('Qdrant')
+# qdrant_api_key=userdata.get('qdrant_api_key')
+# openai_api_key=userdata.get('openai_api_key')
+# # groq_api_key=userdata.get('GROQ_API_KEY')
+
+import os
+
+openai_api_key = os.getenv('openai_api_key')
+qdrant_url = os.getenv('QDRANT_URL')
+qdrant_api_key = os.getenv('qdrant_api_key')
+
+# Now you can use these keys in your application
+
 
 #csv loader
 loader = CSVLoader(file_path='data.csv')
@@ -78,10 +87,10 @@ query="show me a best darmatology doctor in peshawar  "
 docs=retriver.get_relevant_documents(query)
 
 #write a code for prety print
-for i in docs:
-  print(i.page_content)
+# for i in docs:
+#   print(i.page_content)
 
-docs[0].metadata.items()
+# docs[0].metadata.items()
 
 from langchain import PromptTemplate