init project

.gitignore

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+# files
+*.DS_Store

Dockerfile

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+FROM python:3.10-slim
+
+# Cài thư viện hệ thống cần thiết
+RUN apt-get update && apt-get install -y git && rm -rf /var/lib/apt/lists/*
+
+# Tạo thư mục làm việc
+WORKDIR /app
+
+# Copy code
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY app.py .
+
+# Expose port mặc định HFS (7860)
+EXPOSE 7860
+
+# Run Flask
+CMD ["python", "app.py"]

app.py

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+from flask import Flask, request, jsonify
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+app = Flask(__name__)
+
+# Load model
+model_name = "VietAI/vit5-base"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+
+@app.route("/summarize", methods=["POST"])
+def summarize():
+    data = request.json
+    text = data.get("text", "")
+    if not text.strip():
+        return jsonify({"error": "Missing text"}), 400
+
+    inputs = tokenizer.encode(text, return_tensors="pt", max_length=512, truncation=True)
+    summary_ids = model.generate(
+        inputs,
+        max_length=100,
+        min_length=30,
+        num_beams=4,
+        length_penalty=2.0,
+        early_stopping=True
+    )
+    summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
+    return jsonify({"summary": summary})
+
+@app.route("/", methods=["GET"])
+def root():
+    return "ViT5 summarization API is running."
+
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", port=7860)

requirements.txt

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+flask
+transformers
+torch
+sentencepiece