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Dockerfile

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+##use the oficial Python 3.9 image
+FROM python:3.9
+
+#set the working directory to /code
+WORKDIR /code
+
+##copy the current direcotry contents in the container as /code
+COPY ./requirements.txt /code/requirements.txt
+
+##install requirements.txt
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+##set up a new user
+RUN useradd user
+
+#switch the user to user
+RUN user
+
+#set home to the user home directory
+ENV HOME=/home/user \
+    PATH=/HOME/user/.local/bin:$PATH
+
+##update working dir
+WORKDIR $HOME/app
+
+#copy the current dir into container at $HOME/app settings
+COPY --chown=user . $HOME/app
+
+##start the fastapi app port-7860
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
+

app.py

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+from fastapi import FastAPI
+from transformers import pipeline
+
+#create a new fastapi app instance
+app=FastAPI()
+
+#initialize the text gen pipeline
+pipe = pipeline("text2text-generation", model="google/flan-t5-small")
+
+@app.get("/")
+
+def home():
+    return {"massage": "Hellow World"}
+
+#define a function to handle the GET request at '/generate'
+
+@app.get("/generate")
+def generate(text:str):
+    ##use the pipeline to generate text from given input text:
+    output = pipe(text)
+
+    ##return the generate test as json response
+    return {"output": output[0]['generated_text']}

requirements.txt

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+fastapi==0.74.*
+requests==2.27.*
+uvicorn[standard]==0.17.*
+sentencepiece==0.1.*
+torch==1.11.*
+transformers==4.*