Upload 3 files

Dockerfile

@@ -0,0 +1,30 @@
+# Use the official Python 3.9 image
+FROM python:3.9
+
+# set working dir to /code
+WORKDIR /code
+
+# Copy the current dir content 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 "user"
+RUN useradd userad
+# Switch the "user" as user
+USER user
+
+# set home to the user's home dir
+
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH
+
+# set the working dir to the user's home dir 
+WORKDIR $HOME/app
+
+# Copy the current Directory content into yhe container at $HOME/app setting the owner to the user
+COPY --chown=user . $HOME/app
+
+# Start the fastapi app on port 7860
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

app.py

@@ -0,0 +1,20 @@
+from fastapi import FastAPI
+from transformers import pipleline
+
+# create a new FASTAPI app instance
+app = Fastapi()
+
+# Initialize the text generation pipleline
+pipe = pipeline("text2text-generation", model="google/flan-t5-small")
+
+@app.get("/")
+def home():
+    return {"message": "Welcome to the Text Generation API"}
+
+@app.get("/generate")
+def generate(text:str):
+    # use pipelibe to generate text  from given text as input param
+    output = pipe(text)
+
+    # return the generated text in Json response
+    return {"output":output[0]['generated_text']}

requirements.txt

@@ -0,0 +1,6 @@
+fastapi==0.74.*
+requests==2.27.*
+uvicorn[standard]==0.17.*
+sentencepiece==0.1.*
+torch==1.11.*
+transformers==4.*