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b834f10
1
Parent(s): f3fa14d
Updated Simplified API Calls
Browse files- __pycache__/main.cpython-313.pyc +0 -0
- frontend.html +130 -0
- main.py +178 -0
- requirements.txt +7 -0
__pycache__/main.cpython-313.pyc
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frontend.html
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@@ -0,0 +1,130 @@
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>Meshy Image-to-3D Proxy Test</title>
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<style>
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body { font-family: Arial, sans-serif; margin: 2rem; }
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section { margin-bottom: 2rem; }
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pre { background: #f4f4f4; padding: 1rem; overflow: auto; }
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input, button { margin-top: 0.5rem; }
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</style>
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</head>
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<body>
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<h1>Meshy Image-to-3D Proxy Test UI</h1>
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<section>
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<h2>1) Create Image-to-3D Task</h2>
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<input type="file" id="imageInput" accept="image/png, image/jpeg" /><br />
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<button id="submitImage">Submit Image</button>
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<pre id="imageResult">✔ No result yet</pre>
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</section>
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<section>
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<h2>2) Retrieve Task Result</h2>
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<input type="text" id="taskIdInput" placeholder="Enter task ID" size="50" /><br />
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<button id="getResult">Fetch Result</button>
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<pre id="resultOutput">✔ No result yet</pre>
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</section>
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<section>
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<h2>3) List All Tasks</h2>
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<button id="listTasks">List Tasks</button>
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<pre id="listOutput">✔ No result yet</pre>
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</section>
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<section>
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<h2>4) Create Text-to-3D Task</h2>
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<textarea id="textInput" rows="4" cols="50" placeholder="Enter description..."></textarea><br />
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<button id="submitText">Submit Text</button>
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<pre id="textResult">✔ No result yet</pre>
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</section>
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<section>
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<h2>5) Retrieve Text-to-3D Result</h2>
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<input type="text" id="textTaskIdInput" placeholder="Enter text task ID" size="50" /><br />
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<button id="getTextResult">Fetch Text Result</button>
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<pre id="textResultOutput">✔ No result yet</pre>
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</section>
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<section>
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<h2>6) List Text-to-3D Tasks</h2>
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<button id="listTextTasks">List Text Tasks</button>
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<pre id="listTextOutput">✔ No result yet</pre>
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</section>
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<script>
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// Base URL of your FastAPI service
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const API_BASE = 'http://localhost:8000';
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// 1) Create Image-to-3D Task
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document.getElementById('submitImage').addEventListener('click', async () => {
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const fileInput = document.getElementById('imageInput');
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if (!fileInput.files.length) return alert('Please select an image first.');
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const form = new FormData();
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form.append('image', fileInput.files[0]);
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const res = await fetch(`${API_BASE}/req-img-to-3d`, {
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method: 'POST',
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body: form,
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});
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const data = await res.json();
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document.getElementById('imageResult').textContent = JSON.stringify(data, null, 2);
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});
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// 2) Retrieve Task Result
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document.getElementById('getResult').addEventListener('click', async () => {
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const taskId = document.getElementById('taskIdInput').value.trim();
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if (!taskId) return alert('Enter a task ID');
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const res = await fetch(`${API_BASE}/req-result-img-to-3d/${taskId}`);
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const data = await res.json();
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document.getElementById('resultOutput').textContent = JSON.stringify(data, null, 2);
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});
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// 3) List All Tasks
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document.getElementById('listTasks').addEventListener('click', async () => {
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const res = await fetch(`${API_BASE}/list-img-to-3d-req`);
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const data = await res.json();
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document.getElementById('listOutput').textContent = JSON.stringify(data, null, 2);
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});
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// 4) Create Text-to-3D Task
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document.getElementById('submitText').addEventListener('click', async () => {
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const textInput = document.getElementById('textInput');
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if (!textInput.value.trim()) return alert('Please enter text');
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const res = await fetch(`${API_BASE}/req-text-to-3d`, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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},
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body: JSON.stringify({
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text: textInput.value.trim(),
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}),
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});
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const data = await res.json();
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document.getElementById('textResult').textContent = JSON.stringify(data, null, 2);
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});
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// 5) Retrieve Text-to-3D Result
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document.getElementById('getTextResult').addEventListener('click', async () => {
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const textTaskId = document.getElementById('textTaskIdInput').value.trim();
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if (!textTaskId) return alert('Enter a text task ID');
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const res = await fetch(`${API_BASE}/req-result-text-to-3d/${textTaskId}`);
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const data = await res.json();
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document.getElementById('textResultOutput').textContent = JSON.stringify(data, null, 2);
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});
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// 6) List Text-to-3D Tasks
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document.getElementById('listTextTasks').addEventListener('click', async () => {
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const res = await fetch(`${API_BASE}/list-text-to-3d-req`);
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const data = await res.json();
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document.getElementById('listTextOutput').textContent = JSON.stringify(data, null, 2);
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});
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</script>
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</body>
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</html>
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main.py
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import os
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import base64
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from fastapi import FastAPI, UploadFile, File, HTTPException, Depends
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import httpx
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from contextlib import asynccontextmanager
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from dotenv import load_dotenv
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from fastapi.middleware.cors import CORSMiddleware
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from pydantic import BaseModel
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load_dotenv()
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class Settings:
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def __init__(self):
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self.mesh_api_key = os.getenv("MESHY_API_KEY")
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if not self.mesh_api_key:
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raise RuntimeError("MESHY_API_KEY environment variable not set")
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self.openai_api_key = os.getenv("OPENAI_API_KEY")
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if not self.openai_api_key:
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raise RuntimeError("OPENAI_API_KEY environment variable not set")
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settings = Settings()
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def get_settings():
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return settings
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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app.state.client = httpx.AsyncClient(timeout=10.0)
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yield
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await app.state.client.aclose()
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app = FastAPI(
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title="3DAI API Module",
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version="1.0.0",
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description="Proxy endpoints for the APIs",
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lifespan=lifespan
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)
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# Add CORS for all origins (for testing)
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# Pydantic model for incoming text prompt
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class TextPrompt(BaseModel):
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text: str
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@app.post("/req-img-to-3d", tags=["Image-to-3D"])
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async def req_img_to_3d(
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image: UploadFile = File(...),
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settings: Settings = Depends(get_settings)
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):
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"""
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Create a new Image-to-3D task by uploading an image.
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"""
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content = await image.read()
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if not content:
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raise HTTPException(status_code=400, detail="Empty file upload")
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data_uri = (f"data:{image.content_type};base64," +
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base64.b64encode(content).decode())
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payload = {"image_url": data_uri}
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headers = {"Authorization": f"Bearer {settings.mesh_api_key}"}
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resp = await app.state.client.post(
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"https://api.meshy.ai/openapi/v1/image-to-3d",
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json=payload,
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headers=headers,
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)
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if resp.status_code not in (200, 201):
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raise HTTPException(status_code=resp.status_code, detail=resp.text)
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| 74 |
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return resp.json()
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@app.get("/req-result-img-to-3d/{task_id}", tags=["Image-to-3D"])
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| 77 |
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async def req_result_img_to_3d(
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task_id: str,
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settings: Settings = Depends(get_settings)
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):
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| 81 |
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"""
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| 82 |
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Retrieve the status and result of a Meshy Image-to-3D task by ID.
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"""
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headers = {"Authorization": f"Bearer {settings.mesh_api_key}"}
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url = f"https://api.meshy.ai/openapi/v1/image-to-3d/{task_id}"
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| 86 |
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resp = await app.state.client.get(url, headers=headers)
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| 87 |
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if resp.status_code != 200:
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| 88 |
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raise HTTPException(status_code=resp.status_code, detail=resp.text)
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| 89 |
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return resp.json()
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| 91 |
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@app.get("/list-img-to-3d-req", tags=["Image-to-3D"])
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async def list_img_to_3d_req(
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| 93 |
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settings: Settings = Depends(get_settings)
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| 94 |
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):
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| 95 |
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"""
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| 96 |
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List all Image-to-3D tasks.
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| 97 |
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"""
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headers = {"Authorization": f"Bearer {settings.mesh_api_key}"}
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| 99 |
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resp = await app.state.client.get(
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"https://api.meshy.ai/openapi/v1/image-to-3d",
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headers=headers
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)
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| 103 |
+
if resp.status_code != 200:
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| 104 |
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raise HTTPException(status_code=resp.status_code, detail=resp.text)
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| 105 |
+
return resp.json()
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| 106 |
+
|
| 107 |
+
@app.post("/req-text-to-3d", tags=["Text-to-3D"] )
|
| 108 |
+
async def req_text_to_3d(
|
| 109 |
+
prompt: TextPrompt,
|
| 110 |
+
settings: Settings = Depends(get_settings)
|
| 111 |
+
):
|
| 112 |
+
"""
|
| 113 |
+
Reframe user text via OpenAI, then create a Text-to-3D preview task.
|
| 114 |
+
"""
|
| 115 |
+
# Reframe prompt
|
| 116 |
+
openai_resp = await app.state.client.post(
|
| 117 |
+
"https://api.openai.com/v1/chat/completions",
|
| 118 |
+
headers={"Authorization": f"Bearer {settings.openai_api_key}"},
|
| 119 |
+
json={
|
| 120 |
+
"model": "gpt-3.5-turbo",
|
| 121 |
+
"messages": [
|
| 122 |
+
{"role": "system", "content": "Rephrase the user description to be an ideal prompt for 3D model generation."},
|
| 123 |
+
{"role": "user", "content": prompt.text}
|
| 124 |
+
]
|
| 125 |
+
}
|
| 126 |
+
)
|
| 127 |
+
if openai_resp.status_code != 200:
|
| 128 |
+
raise HTTPException(status_code=openai_resp.status_code, detail=openai_resp.text)
|
| 129 |
+
reframed = openai_resp.json()["choices"][0]["message"]["content"]
|
| 130 |
+
# Create Meshy Text-to-3D task
|
| 131 |
+
meshy_resp = await app.state.client.post(
|
| 132 |
+
"https://api.meshy.ai/openapi/v2/text-to-3d",
|
| 133 |
+
headers={"Authorization": f"Bearer {settings.mesh_api_key}"},
|
| 134 |
+
json={"mode": "preview", "prompt": reframed}
|
| 135 |
+
)
|
| 136 |
+
if meshy_resp.status_code not in (200, 201):
|
| 137 |
+
raise HTTPException(status_code=meshy_resp.status_code, detail=meshy_resp.text)
|
| 138 |
+
return meshy_resp.json()
|
| 139 |
+
|
| 140 |
+
@app.get("/req-result-text-to-3d/{task_id}", tags=["Text-to-3D"])
|
| 141 |
+
async def req_result_text_to_3d(
|
| 142 |
+
task_id: str,
|
| 143 |
+
settings: Settings = Depends(get_settings)
|
| 144 |
+
):
|
| 145 |
+
"""
|
| 146 |
+
Retrieve the status/result of a Text-to-3D task by ID.
|
| 147 |
+
"""
|
| 148 |
+
resp = await app.state.client.get(
|
| 149 |
+
f"https://api.meshy.ai/openapi/v2/text-to-3d/{task_id}",
|
| 150 |
+
headers={"Authorization": f"Bearer {settings.mesh_api_key}"}
|
| 151 |
+
)
|
| 152 |
+
if resp.status_code != 200:
|
| 153 |
+
raise HTTPException(status_code=resp.status_code, detail=resp.text)
|
| 154 |
+
return resp.json()
|
| 155 |
+
|
| 156 |
+
@app.get("/list-text-to-3d-req", tags=["Text-to-3D"])
|
| 157 |
+
async def list_text_to_3d_req(
|
| 158 |
+
settings: Settings = Depends(get_settings)
|
| 159 |
+
):
|
| 160 |
+
"""
|
| 161 |
+
List all Text-to-3D tasks.
|
| 162 |
+
"""
|
| 163 |
+
resp = await app.state.client.get(
|
| 164 |
+
"https://api.meshy.ai/openapi/v2/text-to-3d",
|
| 165 |
+
headers={"Authorization": f"Bearer {settings.mesh_api_key}"}
|
| 166 |
+
)
|
| 167 |
+
if resp.status_code != 200:
|
| 168 |
+
raise HTTPException(status_code=resp.status_code, detail=resp.text)
|
| 169 |
+
return resp.json()
|
| 170 |
+
|
| 171 |
+
@app.get("/", tags=["Health"])
|
| 172 |
+
async def health_check():
|
| 173 |
+
"""Basic health-check endpoint returning service status."""
|
| 174 |
+
return {"status": "ok"}
|
| 175 |
+
|
| 176 |
+
if __name__ == "__main__":
|
| 177 |
+
import uvicorn
|
| 178 |
+
uvicorn.run("main:app", host="0.0.0.0", port=8000, log_level="info")
|
requirements.txt
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fastapi[standard]>=0.70.0
|
| 2 |
+
httpx>=0.23.0
|
| 3 |
+
uvicorn[standard]>=0.18.0
|
| 4 |
+
pydantic>=2.0.0
|
| 5 |
+
pydantic-settings>=2.0.0
|
| 6 |
+
python-dotenv>=0.21.0
|
| 7 |
+
openai
|