app.py

import gradio as gr
import pandas as pd
import faiss
from sentence_transformers import SentenceTransformer


#load the sentences data
sentences_df = pd.read_pickle("./sentences_data.pkl")

#load the index
index = faiss.read_index("semantic_search_vector.index") 

def question_answer(query):
    model = SentenceTransformer('bert-base-nli-mean-tokens')
    k = 4
    xq = model.encode([query])
    D, I = index.search(xq, k)  # search
    sentences_df["sentences"].iloc[I.tolist()[0]]
    a = list(sentences_df["sentences"].iloc[I.tolist()[0]])
    results = "\n".join(a)
    answer =  results
    return answer

iface = gr.Interface(fn=question_answer, inputs="text", outputs="text").launch()