fix: replace hardcoded API keys with os.getenv() across examples

end-to-end-use-cases/Contextual-Chunking-RAG/config.py

@@ -1,2 +1,4 @@
-LLAMAPARSE_API_KEY=""
-DEEPINFRA_API_KEY=""
+import os
+
+LLAMAPARSE_API_KEY = os.environ.get("LLAMAPARSE_API_KEY", "")
+DEEPINFRA_API_KEY = os.environ.get("DEEPINFRA_API_KEY", "")

end-to-end-use-cases/blog_generator/setup_qdrant_collection.py

@@ -10,14 +10,15 @@
 
 
 from pathlib import Path
+import os
 from qdrant_client import QdrantClient, models
 from sentence_transformers import SentenceTransformer
 import uuid
 import re
 
 # Configuration - in case you want to create an online collection
-QDRANT_URL = "replace with your Qdrant URL"
-QDRANT_API_KEY = "replace with your qdrant API key"
+QDRANT_URL = os.environ.get("QDRANT_URL", "")
+QDRANT_API_KEY = os.environ.get("QDRANT_API_KEY", "")
 EMBEDDING_MODEL = 'all-MiniLM-L6-v2'
 
 # New files to process

end-to-end-use-cases/customerservice_chatbots/messenger_chatbot/llama_messenger.py

@@ -1,5 +1,5 @@
 # Copyright (c) Meta Platforms, Inc. and affiliates.
-# This software may be used and distributed according to the terms of the Llama 3 Community License Agreement.
+# This software may be used and distributed according to the terms of the Llama Community License Agreement.
 
 import langchain
 from langchain.llms import Replicate
@@ -10,7 +10,7 @@
 import requests
 import json
 
-os.environ["REPLICATE_API_TOKEN"] = "<your replicate api token>"
+os.environ.setdefault("REPLICATE_API_TOKEN", os.environ.get("REPLICATE_API_TOKEN", ""))
 llama3_8b_chat = "meta/meta-llama-3-8b-instruct"
 
 llm = Replicate(
@@ -35,7 +35,7 @@ def msgrcvd_pager():
         'recipient': '{"id": ' + sender + '}',
         'message': json.dumps({'text': answer}),
         'messaging_type': 'RESPONSE',
-        'access_token': "<your page access token>"
+        'access_token': os.environ.get("PAGE_ACCESS_TOKEN", "")
     }
     headers = {
         'Content-Type': 'application/json'

end-to-end-use-cases/customerservice_chatbots/whatsapp_chatbot/llama_chatbot.py

@@ -1,5 +1,5 @@
 # Copyright (c) Meta Platforms, Inc. and affiliates.
-# This software may be used and distributed according to the terms of the Llama 3 Community License Agreement.
+# This software may be used and distributed according to the terms of the Llama Community License Agreement.
 
 import langchain
 from langchain.llms import Replicate
@@ -13,8 +13,8 @@
 class WhatsAppClient:
 
     API_URL = "https://graph.facebook.com/v17.0/"
-    WHATSAPP_API_TOKEN = "<Temporary access token from your WhatsApp API Setup>"
-    WHATSAPP_CLOUD_NUMBER_ID = "<Phone number ID from your WhatsApp API Setup>"
+    WHATSAPP_API_TOKEN = os.environ.get("WHATSAPP_API_TOKEN", "")
+    WHATSAPP_CLOUD_NUMBER_ID = os.environ.get("WHATSAPP_CLOUD_NUMBER_ID", "")
 
     def __init__(self):
         self.headers = {
@@ -38,7 +38,7 @@ def send_text_message(self,message, phone_number):
         assert response.status_code == 200, "Error sending message"
         return response.status_code
 
-os.environ["REPLICATE_API_TOKEN"] = "<your replicate api token>"    
+os.environ.setdefault("REPLICATE_API_TOKEN", os.environ.get("REPLICATE_API_TOKEN", ""))    
 llama3_8b_chat = "meta/meta-llama-3-8b-instruct"
 
 llm = Replicate(
@@ -58,6 +58,6 @@ def msgrcvd():
     answer = llm(message)
     print(message)
     print(answer)
-    client.send_text_message(llm(message), "<your phone number>")
+    client.send_text_message(llm(message), os.environ.get("RECIPIENT_PHONE", ""))
     return message + "<p/>" + answer
 

end-to-end-use-cases/research_paper_analyzer/research_analyzer.py

@@ -5,7 +5,7 @@
 import io
 import re
 import gradio as gr
-import PyPDF2
+import pypdf
 from together import Together
 
 
@@ -38,7 +38,7 @@ def extract_arxiv_pdf_url(arxiv_url):
 
 def extract_text_from_pdf(pdf_content):
     pdf_file = io.BytesIO(pdf_content)
-    reader = PyPDF2.PdfReader(pdf_file)
+    reader = pypdf.PdfReader(pdf_file)
     text = ""
     for page in reader.pages:
         text += page.extract_text() + "\n"
@@ -53,7 +53,7 @@ def extract_references_with_llm(pdf_content):
     if len(text) > max_length:
         text = text[:max_length] + "..."
 
-    client = Together(api_key="Your API key here")
+    client = Together(api_key=os.environ.get("TOGETHER_API_KEY"))
 
     citations = client.chat.completions.create(
         model="meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8",
@@ -219,7 +219,7 @@ def respond(message, history):
         history.append([user_message, ""])
 
 
-        client = Together(api_key="Your API key here")
+        client = Together(api_key=os.environ.get("TOGETHER_API_KEY"))
 
         # Prepare the system prompt and user message