| 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() |