updated to use sendgrid

app.py

@@ -6,8 +6,15 @@ from langchain.prompts import PromptTemplate
 from langchain_openai import ChatOpenAI
 from langchain.schema import HumanMessage
 
+from sendgrid import SendGridAPIClient
+from sendgrid.helpers.mail import Mail
+
 secretcode = os.environ["SECRETCODE"]
 
+
+# Replace with your verified sender email
+from_email = '[email protected]'
+
 # Initialize the OpenAI model
 llm = ChatOpenAI(model="gpt-3.5-turbo", temperature=.8)
 
@@ -49,32 +56,26 @@ prompt = PromptTemplate(
     template=template,
 )
 
-def send_simple_message(essay, email):
-    print("SENT THIS TEXT", essay, "to this email", email)
-    print(os.environ["MAILGUN_POST_URL"])
-    
-    jj = requests.post(
-        os.environ["MAILGUN_POST_URL"],
-        auth=("api", os.environ["MAILGUN_API_KEY"]),
-        data={"from": os.environ["PLP_RETURN_EMAIL_ADDRESS"],
-              "to": [email, email],
-              "subject": "PLP Essay Results",
-              "text": essay}
-    )
-
-    print(jj.content)
-    print(jj.reason)
-    print(jj.status_code)
-    print(jj.text)
-    print(jj.headers)
-    return jj
+def send_sendgrid_email(essay, email):
+    message = Mail(
+        from_email=from_email,
+        to_emails=email,
+        subject='PLP Essay Results',
+        html_content=essay)
+    try:
+        sg = SendGridAPIClient(os.environ.get('SENDGRID_API_KEY'))
+        response = sg.send(message)
+        print(response.status_code)
+        print(response.body)
+        print(response.headers)
+        return "Email Sent"
+    except Exception as e:
+        print(e)
+        return "Email Failed"
 
 # Add an alert box to notify the user if the email was sent correctly
 def show_alert(result):
-    if result.status_code == 200:
-        gr.Info("Emails sent")
-    else:
-        gr.Info("Failed to send emails")
+    gr.Info(result)
                 
 # Function to generate the essay using the template and answers
 def stream_leadership_essay(*answers):
@@ -113,7 +114,7 @@ def stream_leadership_essay(*answers):
         essay += chunk.content
         yield essay, filled_prompt  # Yield partial essay to the Gradio output in real-time
 
-    result = send_simple_message(essay, answers[28])
+    result = send_sendgrid_email(essay, answers[28])
     print(result)
     show_alert(result)
 

requirements.txt

@@ -1,2 +1,3 @@
 langchain
-langchain_openai
+langchain_openai
+sendgrid