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1.4 KiB
JSON
1 line
1.4 KiB
JSON
{"repo": "adhiraj00000/rag-based-video-intelligence-qa-assistant", "files": {"render.yaml": {"7e7595e5ec634f778653e1258d19785d1ce4b08d": {"t": 1785674401.4034555, "n": 1173, "h": "1b37b00438680760", "c": "# Render deployment config for the backend web API (app/web_api.py).\n# Render reads this automatically when you create a \"Blueprint\" from the repo.\nservices:\n - type: web\n name: youtube-summarizer-api\n runtime: python\n plan: free\n buildCommand: pip install -r requirements.txt\n startCommand: uvicorn app.web_api:app --host 0.0.0.0 --port $PORT\n envVars:\n # Pin a Python version that has prebuilt wheels for faiss-cpu / tiktoken.\n - key: PYTHON_VERSION\n value: 3.12.7\n # Your Groq API key (gsk_...) or OpenAI key (sk-...).\n # sync:false = Render will ask you to paste it in the dashboard (kept secret).\n - key: OPENCLAW_API_KEY\n sync: false\n # Chat model. Groq: llama-3.3-70b-versatile. OpenAI: gpt-4o-mini.\n - key: OPENCLAW_MODEL\n value: llama-3.3-70b-versatile\n # Residential proxy for YouTube (REQUIRED on cloud hosts — YouTube blocks\n # datacenter IPs). Get these from a Webshare \"Residential\" plan.\n # sync:false = paste them in the Render dashboard (kept secret).\n - key: WEBSHARE_PROXY_USERNAME\n sync: false\n - key: WEBSHARE_PROXY_PASSWORD\n sync: false\n"}}}} |