File size: 2,004 Bytes
ad9fcac |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 |
import os
import gradio as gr
from sentence_transformers import SentenceTransformer, CrossEncoder, util
from transformers import pipeline
import torch
import pickle
import pandas as pd
import gradio as gr
##Speech Recognition
asr = pipeline("automatic-speech-recognition", "facebook/wav2vec2-base-960h")
def speech_to_text(speech):
text = asr(speech)["text"]
return text
bi_encoder = SentenceTransformer("multi-qa-MiniLM-L6-cos-v1")
cross_encoder = CrossEncoder("cross-encoder/ms-marco-MiniLM-L-6-v2")
corpus_embeddings=pd.read_pickle("corpus_embeddings_cpu.pkl")
corpus=pd.read_pickle("corpus.pkl")
def search(query,top_k=100):
print("Top 3 Answer by the NSE:")
print()
ans=[]
##### Sematic Search #####
# Encode the query using the bi-encoder and find potentially relevant passages
question_embedding = bi_encoder.encode(query, convert_to_tensor=True)
hits = util.semantic_search(question_embedding, corpus_embeddings, top_k=top_k)
hits = hits[0] # Get the hits for the first query
##### Re-Ranking #####
# Now, score all retrieved passages with the cross_encoder
cross_inp = [[query, corpus[hit['corpus_id']]] for hit in hits]
cross_scores = cross_encoder.predict(cross_inp)
# Sort results by the cross-encoder scores
for idx in range(len(cross_scores)):
hits[idx]['cross-score'] = cross_scores[idx]
hits = sorted(hits, key=lambda x: x['cross-score'], reverse=True)
for idx, hit in enumerate(hits[0:3]):
ans.append(corpus[hit['corpus_id']])
return ans[0],ans[1],ans[2]
demo = gr.Blocks()
with demo:
audio_file = gr.inputs.Audio(source="microphone", type="filepath")
b1 = gr.Button("Recognize Speech")
text = gr.Textbox()
b1.click(speech_to_text, inputs=audio_file, outputs=text)
b2 = gr.Button("Ask Wiki")
print(text)
out1 = gr.Textbox()
out2 = gr.Textbox()
out3 = gr.Textbox()
b2.click(search, inputs=text, outputs=[out1,out2,out3])
demo.launch(debug=True) |