Upload 3 files
Browse files- Dockerfile +48 -0
- app1.py +44 -0
- requirements.txt +9 -0
Dockerfile
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# FROM ollama/ollama
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# COPY ./run-ollama.sh /tmp/run-ollama.sh
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# COPY ./Modelfile /tmp/Modelfile
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# WORKDIR /tmp
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# RUN chmod +x run-ollama.sh
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# RUN ./run-ollama.sh
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# FROM python:3.10.12 AS build
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# RUN useradd -m -u 1000 user
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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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# USER user
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# ENV HOME=/home/user \
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# PATH=/home/user/.local/bin:$PATH
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# CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
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FROM python:3.10.12
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RUN curl -fsSL https://ollama.com/install.sh | sh
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RUN useradd -m -u 1000 user
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WORKDIR /app
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COPY --chown=user ./requirements.txt requirements.txt
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RUN pip install --no-cache-dir --upgrade -r requirements.txt
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COPY ./Modelfile /Modelfile
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COPY --chown=user . /app
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USER user
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ENV HOME=/home/user \
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PATH=/home/user/.local/bin:$PATH
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
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app1.py
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import os
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import re
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from langchain_chroma import Chroma
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from langchain_huggingface import HuggingFaceEmbeddings
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from langchain.text_splitter import RecursiveCharacterTextSplitter
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from langchain.chains import RetrievalQA
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from langchain_community.document_loaders import TextLoader, Docx2txtLoader
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from langchain.prompts import PromptTemplate
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from langchain_ollama import OllamaLLM
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import subprocess
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import threading
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import time
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model_name = "qwen2.5:3b"
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def ollama_service_thread():
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subprocess.run("ollama serve", shell=True)
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OLLAMA_SERVICE_THREAD = threading.Thread(target=ollama_service_thread)
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OLLAMA_SERVICE_THREAD.start()
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print("Giving ollama serve a moment")
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time.sleep(10)
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subprocess.run(f"ollama pull {model_name}", shell=True)
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model = OllamaLLM(model="qwen2.5:3b")
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from fastapi import FastAPI
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app = FastAPI()
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@app.get("/")
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def greet_json():
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response_text2 = model.invoke('hi')
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x1 = subprocess.run(f"ollama show qwen2.5:3b", capture_output = True,shell=True)
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return {"Hello1": f"{x1}",
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"Hello1": f"{response_text2}",
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}
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requirements.txt
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langchain-community
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langchain
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transformers
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langchain_huggingface
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langchain-chroma
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langchain_ollama
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docx2txt
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fastapi
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uvicorn[standard]
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