Initial clean structure

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
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+*.pt filter=lfs diff=lfs merge=lfs -text
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+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
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+*tfevents* filter=lfs diff=lfs merge=lfs -text

Dockerfile

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

README.md

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+---
+title: Mediapipe Pose Api
+emoji: ⚡
+colorFrom: purple
+colorTo: yellow
+sdk: docker
+pinned: false
+license: apache-2.0
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+from fastapi import FastAPI, UploadFile, File
+from fastapi.responses import JSONResponse
+import mediapipe as mp
+import numpy as np
+from PIL import Image
+import io
+
+app = FastAPI()
+
+mp_pose = mp.solutions.pose
+
+pose = mp_pose.Pose(
+    static_image_mode=True,
+    model_complexity=1,
+    enable_segmentation=False
+)
+
+@app.post("/analyze_pose")
+async def analyze_pose(image: UploadFile = File(...)):
+    try:
+        data = await image.read()
+        pil_image = Image.open(io.BytesIO(data)).convert("RGB")
+        np_img = np.array(pil_image)
+        bgr = np_img[:, :, ::-1]
+
+        result = pose.process(bgr)
+
+        if not result.pose_landmarks:
+            return {"landmarks": None}
+
+        landmarks = []
+        for lm in result.pose_landmarks.landmark:
+            landmarks.append({
+                "x": lm.x,
+                "y": lm.y,
+                "z": lm.z,
+                "visibility": lm.visibility
+            })
+
+        return {"landmarks": landmarks}
+
+    except Exception as e:
+        return {"error": str(e)}

requirements.txt

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+fastapi
+uvicorn
+mediapipe==0.10.9
+numpy
+Pillow