Spaces:
Build error
Build error
File size: 1,419 Bytes
f58917e ad3fcf3 f9d31ee ad3fcf3 f58917e 17476c1 f58917e |
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 |
import json
import matplotlib.pyplot as plt
import nmslib
import numpy as np
import os
import streamlit as st
from PIL import Image
from transformers import CLIPProcessor, FlaxCLIPModel
@st.cache(allow_output_mutation=True)
def load_index(image_vector_file):
filenames, image_vecs = [], []
fvec = open(image_vector_file, "r")
for line in fvec:
cols = line.strip().split('\t')
filename = cols[0]
image_vec = np.array([float(x) for x in cols[1].split(',')])
filenames.append(filename)
image_vecs.append(image_vec)
V = np.array(image_vecs)
index = nmslib.init(method='hnsw', space='cosinesimil')
index.addDataPointBatch(V)
index.createIndex({'post': 2}, print_progress=True)
return filenames, index
@st.cache(allow_output_mutation=True)
def load_model(model_path, baseline_model):
model = FlaxCLIPModel.from_pretrained(model_path)
# processor = CLIPProcessor.from_pretrained(baseline_model)
processor = CLIPProcessor.from_pretrained(model_path)
return model, processor
@st.cache(allow_output_mutation=True)
def load_captions(caption_file):
image2caption = {}
with open(caption_file, "r") as fcap:
for line in fcap:
data = json.loads(line.strip())
filename = data["filename"]
captions = data["captions"]
image2caption[filename] = captions
return image2caption
|