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Dockerfile

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+FROM python:3.10
+
+WORKDIR /app
+
+COPY . .
+
+RUN pip install --no-cache-dir -r requirements.txt
+
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]

main.py

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+from fastapi import FastAPI, File, UploadFile
+from fastapi.responses import JSONResponse
+import cv2
+import numpy as np
+import mediapipe as mp
+from mediapipe.tasks import python
+from mediapipe.tasks.python import vision
+import tempfile
+
+app = FastAPI()
+
+# ===== Load Model =====
+MODEL_PATH = "gesture_recognizer.task"
+
+base_options = python.BaseOptions(model_asset_path=MODEL_PATH)
+gesture_options = vision.GestureRecognizerOptions(base_options=base_options)
+gesture_recognizer = vision.GestureRecognizer.create_from_options(gesture_options)
+
+
+@app.get("/")
+def home():
+    return {"message": "Gesture + Face API is running"}
+
+
+# =========================
+# GESTURE DETECTION API
+# =========================
+@app.post("/gesture")
+async def detect_gesture(file: UploadFile = File(...)):
+    try:
+        contents = await file.read()
+        np_img = np.frombuffer(contents, np.uint8)
+        image = cv2.imdecode(np_img, cv2.IMREAD_COLOR)
+
+        rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
+        mp_image = mp.Image(image_format=mp.ImageFormat.SRGB, data=rgb)
+
+        result = gesture_recognizer.recognize(mp_image)
+
+        if result.gestures:
+            top = result.gestures[0][0]
+            return JSONResponse({
+                "gesture": top.category_name,
+                "confidence": float(top.score)
+            })
+
+        return JSONResponse({"gesture": "none", "confidence": 0})
+
+    except Exception as e:
+        return JSONResponse({"error": str(e)}, status_code=500)

requirements.txt

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+fastapi
+uvicorn
+opencv-python-headless
+mediapipe==0.10.9
+numpy
+python-multipart