Create app.py

app.py

@@ -0,0 +1,37 @@
+import os
+from fastapi import FastAPI
+from pydantic import BaseModel
+from transformers import pipeline, AutoTokenizer
+
+# Ρύθμιση cache directory για να αποφύγουμε permission errors
+os.environ["HF_HOME"] = "/app/cache"
+
+MODEL_NAME = "IMISLab/GreekT5-mt5-small-greeksum"
+tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
+summarizer = pipeline("summarization", model=MODEL_NAME, tokenizer=tokenizer)
+
+app = FastAPI()
+
+class TextInput(BaseModel):
+    text: str
+
+@app.post("/summarize/")
+async def summarize_text(input: TextInput):
+    tokens = tokenizer.tokenize(input.text)
+    token_count = len(tokens)
+
+    summary = summarizer(
+        input.text,
+        max_length=200,
+        min_length=30,
+        do_sample=False
+    )
+
+    return {
+        "token_count": token_count,
+        "summary": summary[0]["summary_text"]
+    }
+
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=7860)