| import gradio as gr | |
| import vertexai, os | |
| from dotenv import load_dotenv, find_dotenv | |
| _ = load_dotenv(find_dotenv()) | |
| credentials = | |
| project = | |
| openai_api_key = os.environ['OPENAI_API_KEY'] | |
| def invoke(prompt): | |
| response = openai.ChatCompletion.create( | |
| model = "gpt-3.5-turbo", | |
| messages = [{"role": "user", "content": prompt}], | |
| temperature = 0, | |
| max_tokens = 500, | |
| ) | |
| return response.choices[0].message["content"] | |
| gr.close_all() | |
| demo = gr.Interface(fn=invoke, | |
| inputs = [gr.Textbox(label = "Prompt", lines = 1)], | |
| outputs = [gr.Textbox(label = "Completion", lines = 1)], | |
| title = "Generative AI - Text", | |
| description = "<a href='https://www.gradio.app/'>Gradio</a> UI using <a href='https://cloud.google.com/vertex-ai?hl=en/'>Google Vertex AI</a> API with Bison foundation model") | |
| demo.launch() |