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Dockerfile

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+FROM python:3.12.3-slim
+
+WORKDIR /app
+
+COPY requirements.txt .
+
+RUN pip install --upgrade pip \
+    && pip install -r requirements.txt
+
+COPY . .
+
+
+# Use 4 worker processes to handle requests efficiently.
+CMD ["gunicorn", "-w", "4", "-k", "uvicorn.workers.UvicornWorker", "fast_api:app"]

fast_api.py

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+import whisper
+from fastapi import FastAPI, UploadFile, File
+from pydantic import BaseModel
+
+model = whisper.load_model("tiny")
+
+app = FastAPI()
+
+
+def transcribe(audio_file_path: str, model):
+    # Load audio and run inference
+    result = model.transcribe(audio_file_path)
+    return result["text"]
+
+@app.post("/transcribe")
+async def transcribe_audio(file: UploadFile = File(...)):
+
+    # SAVE THE UPLOAD FILE TEMPORARILY
+    with open(file.filename, "wb") as buffer:
+
+        buffer.write(await file.read())
+
+    # TRANSCRIBE THE AUDIO
+    transcription = transcribe(file.filename, model)
+
+    return { "transcription" : transcription }