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@@ -1,36 +1,30 @@
-## use the official Python 3.9 image
-
+## Use the official Python 3.9 image
 FROM python:3.12.3
 
-## set the working dirextory to /code
+## set the working directory to /code
 WORKDIR /code
 
-## copy the current directory contents in the container at /code
+## Copy the current directory contents in the container at /code
 COPY ./requirements.txt /code/requirements.txt
 
-
-## intall the requirements.txt
-
+## Install the requirements.txt
 RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
 
-#set up a new user named "user"
+# Set up a new user named "user" 
 RUN useradd user
-
-#switch to the "user"user
+# Switch to the "user" user
 USER user
 
-# set home to the user's home directory
+# Set home to the user's home directory
 
-ENV HOME = /home/user \
-    PATH = /home/user/.local/bin:$PATH
+ENV HOME=/home/user \
+	PATH=/home/user/.local/bin:$PATH
 
-# set the working directory to the users's home dorectory
+# 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 ower to the user
-
+# Copy the current directory contents into the container at $HOME/app setting the owner to the user
 COPY --chown=user . $HOME/app
 
-##start the Fastapi App on PORT
-CMD [ "uvicorn","app:app" ,"--host","0.0.0.0","--port","7860" ]
+## Start the FASTAPI App on port 7860
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

app.py

@@ -1,22 +1,24 @@
 from fastapi import FastAPI
 from transformers import pipeline
 
-# create a new pipeline app instance
+## create a new FASTAPI app instance
+app=FastAPI()
 
-
-app =FastAPI()
-
-#Initialize the test generation
+# Initialize the text generation pipeline
 pipe = pipeline("text2text-generation", model="google/flan-t5-small")
 
 
 @app.get("/")
 def home():
-    return {"message":"Hello, world!"}
+    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 ttext from given input text
-    output =pipe(text)
+    ## use the pipeline to generate text from given input text
+    output=pipe(text)
 
+    ## return the generate text in Json reposne
     return {"output":output[0]['generated_text']}