sksstudio
commited on
Commit
·
bf190b6
1
Parent(s):
7af1a4d
Add application file
Browse files- app.py +47 -0
- requirements.txt +4 -0
app.py
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from fastapi import FastAPI, HTTPException
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from pydantic import BaseModel
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from llama_cpp import Llama
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from typing import Optional
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import uvicorn
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app = FastAPI(
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title="OmniVLM API",
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description="API for text generation using OmniVLM model",
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version="1.0.0"
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)
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# Initialize the model
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llm = Llama.from_pretrained(
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repo_id="NexaAIDev/OmniVLM-968M",
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filename="omnivision-text-optimized-llm-Q8_0.gguf",
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)
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class GenerationRequest(BaseModel):
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prompt: str
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max_tokens: Optional[int] = 100
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temperature: Optional[float] = 0.7
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top_p: Optional[float] = 0.9
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class GenerationResponse(BaseModel):
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generated_text: str
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@app.post("/generate", response_model=GenerationResponse)
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async def generate_text(request: GenerationRequest):
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try:
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output = llm(
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request.prompt,
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max_tokens=request.max_tokens,
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temperature=request.temperature,
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top_p=request.top_p
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)
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return GenerationResponse(generated_text=output["choices"][0]["text"])
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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@app.get("/health")
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async def health_check():
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return {"status": "healthy"}
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if __name__ == "__main__":
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uvicorn.run(app, host="0.0.0.0", port=8000)
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requirements.txt
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fastapi==0.104.1
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uvicorn==0.24.0
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pydantic==2.4.2
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llama-cpp-python==0.1.76
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