Create app.py

app.py

@@ -0,0 +1,33 @@
+from fastapi import FastAPI, Request
+from llama_cpp import Llama
+from huggingface_hub import hf_hub_download
+import os
+os.system("ulimit -l unlimited")
+
+app = FastAPI()
+
+hf_hub_download("TheBloke/deepseek-coder-6.7B-base-GGUF", "deepseek-coder-6.7b-base.Q4_K_M.gguf", local_dir="./")
+model_l = Llama(model_path="./deepseek-coder-6.7b-base.Q4_K_M.gguf", n_ctx=16000, n_gpu_layers=0, n_threads=2, use_mlock=True)
+
+
+@app.get("/check")
+async def index():
+    return {"msg": "OK!"}
+
+@app.post("/api")
+async def completion(request: Request):
+    data = await request.json()
+    prompt = data["prompt"]
+    mode = data['mode']
+    
+    res = model_l(
+        prompt,
+        temperature=0.6,
+        echo=False,
+        max_tokens=41,
+    )
+    return {"responses": res["choices"]}
+
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=7860)