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from flask import Flask, request, jsonify | |
from flask_cors import CORS | |
from transformers import pipeline | |
import requests | |
from PIL import Image | |
from decouple import config | |
from io import BytesIO | |
app = Flask(__name__) | |
CORS(app, resources={r"/generate_caption": {"origins": "https://www.google.com"}}) | |
CORS(app) | |
# Initialize the pipeline for image captioning | |
model_name = config('BLIP_MODEL_NAME', default="Salesforce/blip-image-captioning-large") | |
pipe = pipeline("image-to-text", model=model_name) | |
def generate_caption(): | |
try: | |
print("Received a request to generate captions for images.") | |
image_urls = request.json.get('image_urls') | |
results = [] | |
for image_url in image_urls: | |
# Load the image from the URL | |
response = requests.get(image_url) | |
image = Image.open(BytesIO(response.content)) | |
# Use the pipeline to generate the caption | |
generated_caption = pipe(image)[0]['generated_text'] | |
# Create a dictionary with image URL and caption | |
result_item = { | |
"image_url": image_url, | |
"caption": generated_caption | |
} | |
results.append(result_item) | |
print("===================results===========") | |
print(results) | |
return jsonify(results) | |
except Exception as e: | |
print(e) | |
return jsonify({'error': str(e)}), 400 | |
if __name__ == '__main__': | |
app.run() | |