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import os
from transformers import pipeline
# Set a custom cache directory to avoid permission issues
os.environ["TRANSFORMERS_CACHE"] = "/app/cache"
os.environ["HF_HOME"] = "/app/cache"
# Load model (force PyTorch)
summarizer = pipeline("summarization", model="t5-base", framework="pt")
from flask import Flask, request, jsonify
app = Flask(__name__)
@app.route("/summarize", methods=["POST"])
def summarize():
data = request.json
text = data.get("text", "")
summary = summarizer(text, max_length=150, min_length=30, do_sample=False)
return jsonify({"summary": summary[0]["summary_text"]})
if __name__ == "__main__":
app.run(host="0.0.0.0", port=7860)
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