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Dockerfile

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+# The Dockerfile is nearly identical to the ASR service [cite: 235]
+FROM python:3.9-slim
+WORKDIR /code
+COPY ./requirements.txt /code/requirements.txt
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+COPY ./app.py /code/app.py
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

app.py

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+# Adapted from source [cite: 214-232]
+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+from transformers import pipeline
+import torch
+
+app = FastAPI()
+
+class TranscriptionPayload(BaseModel):
+    text: str
+
+# Load the summarization pipeline on startup
+try:
+    summarizer = pipeline(
+        "summarization",
+        model="knkarthick/MEETING_SUMMARY",
+        torch_dtype=torch.float32,
+        device="cpu",
+    )
+except Exception as e:
+    summarizer = None
+    print(f"Error loading summarization model: {e}")
+
+@app.post("/summarize")
+async def summarize_text(payload: TranscriptionPayload):
+    if not summarizer:
+        raise HTTPException(status_code=503, detail="Summarizer model is not available.")
+
+    full_text = payload.text
+    
+    # Generate the summary
+    summary = summarizer(full_text, min_length=30, max_length=250, do_sample=False)
+    
+    return {"summary": summary[0]['summary_text']}

requirements.txt

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+fastapi
+uvicorn
+torch
+transformers
+pydantic