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Dockerfile

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+FROM python:3.9
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+COPY ./zephyr-7b-beta.Q4_K_S.gguf /code/zephyr-7b-beta.Q4_K_S.gguf
+COPY ./main.py /code/main.py
+
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]

main.py

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+from ctransformers import AutoModelForCausalLM
+from fastapi import FastAPI, Form
+from pydantic import BaseModel
+
+
+llm = AutoModelForCausalLM.from_pretrained("zephyr-7b-beta.Q4_K_S.gguf",
+model_type='mistral',
+max_new_tokens = 1096,
+threads = 1,
+)
+   
+
+#Pydantic object
+class validation(BaseModel):
+    prompt: str
+#Fast API
+app = FastAPI()
+#Function contain tranlater API, RAG API, OpenAI API
+@app.post("/llm_on_cpu")
+async def stream(item: validation):
+    system_prompt = 'Below is an instruction that describes a task. Write a response that appropriately completes the request.'
+    E_INST = "</s>"
+    user, assistant = "<|user|>", "<|assistant|>"
+    prompt = f"{system_prompt}{E_INST}\n{user}\n{item.prompt.strip()}{E_INST}\n{assistant}\n"
+    return llm(prompt)
+
+#def stream(user_prompt)
+# system_prompt = 'Below is an instruction that describes a task. Write a response that appropriately completes the request.'
+# E_INST = "</s>"
+# user, assistant = "<|user|>", "<|assistant|>"
+# prompt = f"{system_prompt}{E_INST}\n{user}\n{user_prompt.strip()}{E_INST}\n{assistant}\n"
+# for text in llm(prompt, stream=True):
+#     print(text, end="", flush=True)

requirements.txt

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+python-multipart
+fastapi
+pydantic
+uvicorn
+requests
+ctransformers