Update app.py

app.py

@@ -1,124 +0,0 @@
-import streamlit as st
-import openai
-import json
-import requests
-import os
-
-def send_email(email_id,subject,content):
-  import smtplib
-  from email.mime.text import MIMEText
-  from email.mime.multipart import MIMEMultipart
-  
-  # Email configuration
-  sender_email = '[email protected]'
-  receiver_email = email_id
-  password = 'wvurqdfbpbjiqzjq'
-  subject = subject
-  message_body = content
-  
-  # Create a MIMEText object for the email message
-  message = MIMEMultipart()
-  message['From'] = sender_email
-  message['To'] = receiver_email
-  message['Subject'] = subject
-  message.attach(MIMEText(message_body, 'plain'))
-  
-  # Connect to the SMTP server (for Gmail, use 'smtp.gmail.com')
-  smtp_server = 'smtp.gmail.com'
-  smtp_port = 587  # Use 465 for SSL or 587 for TLS
-  
-  try:
-      server = smtplib.SMTP(smtp_server, smtp_port)
-      server.starttls()
-      server.login(sender_email, password)
-      server.sendmail(sender_email, receiver_email, message.as_string())
-      server.quit()
-      return('Email sent successfully')
-  except Exception as e:
-      return('Error sending email:', str(e))
-  # Attach the message body
-
-def run_conversation():
-    functions = [
-        {
-            "name": "send_email",
-            "description": "send an email to given email address.",
-            "parameters": {
-                "type": "object",
-                "properties": {
-                    "email_id":{
-                        "type":"string",
-                        "description":"The id of email."
-                    },
-                    "subject": {
-                        "type": "string",
-                        "description": "The subject of the email.",
-                    },
-                    "content":
-                    {"type": "string", "description": "The content of the email."},
-                },
-                "required": ["email_id","subject","content"],
-            },
-        }]
-    response = openai.ChatCompletion.create(
-        model="gpt-3.5-turbo-1106",
-        messages=st.session_state.messages,
-        functions=functions,
-        function_call="auto",
-    )
-    response_message = response["choices"][0]["message"]
-    print(response_message)
-    # Step 2: check if GPT wanted to call a function
-    if response_message.get("function_call"):
-        # Step 3: call the function
-        # Note: the JSON response may not always be valid; be sure to handle errors
-        available_functions = {
-            "send_email": send_email
-        }  # only one function in this example, but you can have multiple
-        function_name = response_message["function_call"]["name"]
-        function_to_call = available_functions[function_name]
-        function_args = json.loads(response_message["function_call"]["arguments"])
-        function_response=function_to_call(
-        email_id=function_args.get("email_id"),
-        subject=function_args.get("subject"),
-        content=function_args.get("content"))
-        st.write(function_response)
-        # Step 4: send the info on the function call and function response to GPT
-        # extend conversation with assistant's reply
-        # st.session_state.messages.append(response_message)
-        st.session_state.messages.append(
-            {
-                "role": "function",
-                "name": function_name,
-                "content": function_response,
-            })
-        import time
-        time.sleep(5)
-        second_response = openai.ChatCompletion.create(
-            model="gpt-3.5-turbo-1106",
-            messages=st.session_state.messages)
-        second_response=second_response["choices"][0]["message"]["content"]
-        st.session_state.messages.append({"role": "assistant", "content": second_response})
-        return second_response
-    else:
-        response_message = response_message["content"]
-        st.session_state.messages.append({"role":"assistant","content":response_message})
-        return response_message
-
-
-if "messages" not in st.session_state.keys():
-  st.session_state.messages = [{"role": "assistant", "content": "WellCome To AI Email Sender!"}]
-
-if prompt := st.chat_input("Send Query..."): # Prompt for user input and save to chat history
-    st.session_state.messages.append({"role": "user", "content": prompt})
-  
-for message in st.session_state.messages: # Display the prior chat messages
-      with st.chat_message(message["role"]):
-        st.write(message["content"])
-
-
-if st.session_state.messages[-1]["role"] != "assistant":
-  with st.chat_message("assistant"):
-    with st.spinner("Thinking..."):
-      response_message = run_conversation()
-      st.write(response_message)