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import openai as ai | |
ai.api_key = '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' # replace with your key from earlier | |
import os | |
import openai as ai | |
# Get the key from an environment variable on the machine it is running on | |
# ai.api_key = os.environ.get("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") | |
def generate_gpt3_response(user_text, print_output=False): | |
""" | |
Query OpenAI GPT-3 for the specific key and get back a response | |
:type user_text: str the user's text to query for | |
:type print_output: boolean whether or not to print the raw output JSON | |
""" | |
completions = ai.Completion.create( | |
engine='text-davinci-003', # Determines the quality, speed, and cost. | |
temperature=0.5, # Level of creativity in the response | |
prompt=user_text, # What the user typed in | |
max_tokens=100, # Maximum tokens in the prompt AND response | |
n=1, # The number of completions to generate | |
stop=None, # An optional setting to control response generation | |
) | |
# Displaying the output can be helpful if things go wrong | |
if print_output: | |
print(completions) | |
# Return the first choice's text | |
return completions.choices[0].text | |
models = ai.Model.list() | |
for model in models.data: | |
(model.id) | |
if __name__ == '__main__': | |
prompt = 'Magento with 0% plagiarism' | |
response = generate_gpt3_response(prompt) | |
print(response) | |
import gradio as gr | |
input_text = gr.inputs.Textbox(lines=20, label='Input Text') | |
output_text = gr.outputs.Textbox(label='Output Text') | |
app = gr.Interface(generate_gpt3_response, inputs=input_text, css="""span.svelte-1l2rj76{color: #591fc9;font-size: 18px; | |
font-weight: 600;}.secondary.svelte-1ma3u5b{background: #591fc9; color: #fff;}.secondary.svelte-1ma3u5b:hover{background:#8a59e8;color:#000;} | |
.svelte-2xzfnp textarea {border: 1px solid #591fc9}.primary.svelte-1ma3u5b{background: #f8d605;color: #000;}.primary.svelte-1ma3u5b:hover{background: #ffe751;color: #591fc9;}.svelte-2xzfnp{height: 168px !important;}.svelte-1iguv9h {max-width: none !important; margin: 0px !important; padding: 0px !important;} label.svelte-2xzfnp{display: contents !important;} """, outputs=output_text, title='Content Generator') | |
# Launch the user interface | |
app.launch(inline=False) |