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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. Some questions you can ask are: Who is Angela Busheska?, What is Angela Busheska passionate about? \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) |