app.py

import gradio as gr
import sentence_transformers
from sentence_transformers import SentenceTransformer

import pandas as pd

model = SentenceTransformer('JoBeer/all-mpnet-base-v2-eclass')

corpus = pd.read_excel('corpus.xlsx')

def predict(i):
    name = corpus['did'][i]
    return name

#interface = gr.Interface(fn = predict, inputs = [gr.Textbox(label="Description:", placeholder="z.B. Schaltbefehl Pumpe", lines=1), lines=1)], 
#             title = 'ECLASS-Suche',
#             outputs = gr.outputs.Label(name))
#
    
#interface.launch()


import gradio as gr

def greet(name):
    return "Hello " + name + "!"

demo = gr.Interface(fn=greet, inputs="text", outputs="text")

demo.launch()