Update app.py

app.py

@@ -17,6 +17,8 @@ from langchain.chains.conversation.memory import (ConversationBufferMemory,
 
 app = Flask(__name__)
 
+os.environ['OPENAI_API_KEY'] = os.environ.get("OPENAI_KEY")
+
 # Set up the LangChain
 
 template = """Answer the question based on the context below.
@@ -43,14 +45,12 @@ prompt = PromptTemplate(
 
 llm35 = ChatOpenAI(
     temperature=0.2, 
-    openai_api_key='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',
     model_name='gpt-3.5-turbo',
     max_tokens=128
 )
 
 llm30 = OpenAI(
-    temperature=0.1, 
-    openai_api_key='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',
+    temperature=0.1,     
     max_tokens=128
 )
 
@@ -64,7 +64,13 @@ conversations = ConversationChain(
 )
 
 # Set up the Salesforce API
-sf = Salesforce(username='soumyabrata.das2@cognizant.com.sandbox1', password='April-2023', security_token='1nic31g1YZ2V3dQRhCzXheAa',instance_url='https://marketing-comm.lightning.force.com')
+
+sf_user = os.environ.get("SF_USER")
+sf_pwd = os.environ.get("SF_PWD")
+sf_token = os.environ.get("SF_TOKEN")
+sf_instance = os.environ.get("SF_INSTANCE")
+
+sf = Salesforce(username=sf_user, password=sf_pwd, security_token=sf_token,instance_url=sf_instance)
 #print(sf.headers)
 print("Successfully Connected to Salesforce")
 
@@ -115,7 +121,7 @@ def process_input():
     return str(response)
 
 # For Case Summary and Subject
-openai.api_key = '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'
+openai.api_key = os.environ.get("OPENAI_KEY")
 
 def get_case_summary(conv_detail):
     chatresponse_desc = openai.ChatCompletion.create(