| import gradio as gr |
| import openai |
| def generate_completion(user_prompt): |
| hidden_context = " " |
| prompt = hidden_context + user_prompt |
| response = openai.Completion.create( |
| model="davinci:ft-topwow-llc:coloncancer-2023-09-20-01-05-16", |
| prompt=prompt, |
| max_tokens=30, |
| temperature=0, |
| stop=["_END"] |
| ) |
|
|
|
|
| return response.choices[0].text.strip() |
| iface = gr.Interface(fn=generate_completion, |
| inputs=gr.inputs.Textbox(lines=5, placeholder='write the phrase here'), |
| outputs='text', |
| title="Colon cancer symptom detector", |
| description="Colon cancer symptom detector. Write the phrase and add the arrow -> plus three spaces, example: Unexplained weight loss -> ", |
| input_labels="phrase", |
| output_labels="prediction") |
|
|
| iface.launch() |
