| import gradio as gr | |
| import openai | |
| import os | |
| openai.api_key = os.getenv("OPENAI_API_KEY") | |
| def generate_completion(user_prompt): | |
| hidden_context = " " | |
| prompt = hidden_context + user_prompt | |
| response = openai.Completion.create( | |
| model="davinci:ft-topwow-llc:tumorgastrico-2023-09-14-20-11-13", | |
| 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='Escriba la frase aqui'), | |
| outputs='text', | |
| title="Detector de potenciales síntomas de tumor gastrico", | |
| description="Plataforma que detecta potenciales síntomas de tumor gástrico. Escriba la frase y le suma la flecha -> mas dos espacios, ejemplo: Tengo un intenso dolor en la boca del estomago -> ", | |
| input_labels="frase", | |
| output_labels="prediccion") | |
| iface.launch() |