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Dockerfile

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+# Use the official python 3.9 image
+FROM python:3.9
+
+# Set the working directory to /code
+WORKDIR /code
+
+# Copy the current directory contents in the container at /code
+COPY ./requirements.txt /code/requirements.txt
+
+# Install the requirements.txt
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+# Setup a new user named "user"
+RUN useradd user
+
+# Switch to the user "user"
+USER user
+
+# Set home to the user's home directory
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH
+
+# Set the working directory to the users home directory
+WORKDIR $HOME/app
+
+# Copy the current directory contents into a container at $HOME/app setting the owner to 
+COPY --chown=user . $HOME/app
+
+# Start the FastAPI app on port 7860
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"] 
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+

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 generation pipeline
+pipe = pipeline("text2text-generation", model="google/flan-t5-small")
+
+@app.get("/")
+def home():
+    return {"message":"Hello World!"}
+
+# Define a function to handle the get request at '/generate'
+@app.get("/generate")
+
+def generate(text:str):
+    ## Use the pipeline to generate the text from the given the input 
+    output = pipe(text)
+
+    ## Return the generated text in Json response
+    return {"output":output[0]['generated_text']}
+
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requirements.txt

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