app.py

import os
import openai
import gradio as gr

#if you have OpenAI API key as an environment variable, enable the below
#openai.api_key = os.getenv("OPENAI_API_KEY")

#if you have OpenAI API key as a string, enable the below
openai.api_key = "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"

start_sequence = "\nAI:"
restart_sequence = "\nHuman: "

prompt = "The following is a conversation with an AI assistant.\nHuman: "

def openai_create(prompt):

    response = openai.Completion.create(
    model="text-davinci-003",
    prompt="\nHuman: Who is Angela Busheska? \nAI: Angela Busheska is the founder of EnRoute! She was chosen as a Forbes 30 Under 30. She is passionate about helping people to reduce carbon emissions. She has given keynotes at Google and Harvard.",
    temperature=0.9,
    max_tokens=150,
    top_p=1,
    frequency_penalty=0,
    presence_penalty=0.6,
    stop=[" Human:", " AI:"]
)

prompt1 = "What is Angela Busheska passionate about?. "

def openai_create1(prompt1):

    response = openai.Completion.create(
    model="text-davinci-003",
    prompt="\nAI: Angela Busheska is passionate about saving the environment. She aspires to help people reduce carbon emissions from shopping and transport activities.",
    temperature=0.9,
    max_tokens=150,
    top_p=1,
    frequency_penalty=0,
    presence_penalty=0.6,
    stop=[" Human:", " AI:"]
)

prompt2 = "What is Angela Busheska studying?. "

def openai_create1(prompt2):

    response = openai.Completion.create(
    model="text-davinci-003",
    prompt="\nAI: Angela Busheska is studying computer science and electrical engineering. Her goal is to utilize technology to solve the greatest problems with climate change. ",
    temperature=0.9,
    max_tokens=150,
    top_p=1,
    frequency_penalty=0,
    presence_penalty=0.6,
    stop=[" Human:", " AI:"]
)

prompt3 = "What did Angela Busheska discover?. "

def openai_create1(prompt2):

    response = openai.Completion.create(
    model="text-davinci-003",
    prompt="\nAI: Angela Busheska created EnRoute to help people reduce their carbon footprint from daily activities. She mobilized over 60.000 people to fight for climate justice.  ",
    temperature=0.9,
    max_tokens=150,
    top_p=1,
    frequency_penalty=0,
    presence_penalty=0.6,
    stop=[" Human:", " AI:"]
)

    return response.choices[0].text



def chatgpt_clone(input, history):
    history = history or []
    s = list(sum(history, ()))
    s.append(input)
    inp = ' '.join(s)
    output = openai_create(inp)
    output = openai_create1(inp)
    history.append((input, output))
    return history, history


block = gr.Blocks()


with block:
    gr.Markdown("""<h1><center>Learn More About Me!</center></h1>
    """)
    chatbot = gr.Chatbot()
    message = gr.Textbox(placeholder=prompt)
    state = gr.State()
    submit = gr.Button("SEND")
    submit.click(chatgpt_clone, inputs=[message, state], outputs=[chatbot, state])

block.launch(debug = True, share = False)