add model
Browse files- .gitattributes +1 -0
- Dockerfile +18 -0
- README.md +5 -5
- app.py +46 -0
- requirements.txt +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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moondream filter=lfs diff=lfs merge=lfs -text
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Dockerfile
ADDED
@@ -0,0 +1,18 @@
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# Read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
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# you will also find guides on how best to write your Dockerfile
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FROM python:3.9
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RUN useradd -m -u 1000 user
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USER user
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ENV PATH="/home/user/.local/bin:$PATH"
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WORKDIR /app
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COPY --chown=user ./requirements.txt requirements.txt
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RUN pip install --no-cache-dir --upgrade -r requirements.txt
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COPY --chown=user . /app
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RUN chmod +x /app/moondream
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8000"]
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README.md
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---
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title:
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emoji:
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colorFrom:
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colorTo:
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sdk: docker
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pinned: false
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license:
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: Vlm Recognition
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emoji: π
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colorFrom: yellow
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colorTo: gray
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sdk: docker
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pinned: false
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license: apache-2.0
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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import base64
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import subprocess
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from tempfile import NamedTemporaryFile
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from fastapi import FastAPI, HTTPException
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from pydantic import BaseModel
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app = FastAPI()
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# define request body
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class RequestData(BaseModel):
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prompt: str
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image: str
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@app.get("/")
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def greet_json():
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return {"Hello": "World!"}
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@app.post("/query")
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def query(data: RequestData):
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prompt = data.prompt
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image = data.image
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try:
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# decode base64 to image
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image = base64.b64decode(image)
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with NamedTemporaryFile(delete=True, suffix=".png") as temp_image:
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temp_image.write(image)
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temp_image.flush()
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result = subprocess.run(
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["./moondream", "--prompt", prompt, "--image", temp_image.name],
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capture_output=True,
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text=True,
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)
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if result.returncode != 0:
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raise Exception(result.stderr)
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return {"response": result.stdout}
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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requirements.txt
ADDED
@@ -0,0 +1,3 @@
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fastapi
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uvicorn[standard]
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pydantic
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