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from flask import Flask, jsonify, request
from transformers import AutoAdapterModel, AutoTokenizer, TextClassificationPipeline
from huggingface_hub import Repository
tokenizer = AutoTokenizer.from_pretrained("UBC-NLP/MARBERT")
model = AutoAdapterModel.from_pretrained("UBC-NLP/MARBERT")
sarcasm_adapter = Repository(local_dir="sarcasm_adapter", clone_from="nehalelkaref/sarcasm_adapter")
aoc3_adapter = Repository(local_dir="aoc3_adapter", clone_from="nehalelkaref/aoc3_adapter")
aoc4_adapter = Repository(local_dir="aoc4_adapter", clone_from="nehalelkaref/aoc4_adapter")
fusion_adapter = Repository(local_dir="fusion_adapter", clone_from="nehalelkaref/region_fusion")
model.load_adapter("aoc3_adapter", set_active=True, with_head=False)
model.load_adapter("aoc4_adapter", set_active=True, with_head=False)
model.load_adapter("sarcasm_adapter", set_active=True, with_head=False)
model.load_adapter_fusion("fusion_adapter/aoc(3),aoc(4),sarcasm",with_head=True, set_active=True)
pipe = TextClassificationPipeline(tokenizer=tokenizer, model=model)
app = Flask(__name__)
@app.route("/", methods=['GET'])
def home():
return "<h1>GFG is great platform to learn</h1>"
if __name__ == "__main__":
app.run() |