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Added Docker Image

Dockerfile

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+## Use the Official Python 3.10 Image
+FROM python:3.10 
+
+## 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 
+
+# Set up a New User named "GenAI"
+RUN useradd GenAI
+
+# Switch to the "user" user
+USER GenAI
+
+# Set home to the user's homedirectory
+ENV HOME=/home/GenAI \
+    PATH=/home/GenAI/.local/bin:${PATH}
+
+#  Set the working directory to the user's home directory
+WORKDIR $HOME/app
+
+# Copy the current directory contents into the container at $HOME/app setting the owner to 
+COPY --chown=GenAI . $HOME/app
+
+## Start the FASTAPI App on 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
+
+## creta a new FASTAPI app instances
+app = FastAPI()
+
+
+# Initializing 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 text from given input text
+    output = pipe(text)
+
+    ## return the generate text in 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.*