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Dockerfile

@@ -0,0 +1,30 @@
+## 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
+
+# Set up 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 user's home directory
+WORKDIR $HOME/app
+
+# 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 7860
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

app.py

@@ -1,4 +1,20 @@
 from fastapi import FastAPI
 from transformers import pipeline
 
-app=FastAPI()
+app=FastAPI()
+
+pipe = pipeline("zero-shot-classification", model="joeddav/xlm-roberta-large-xnli")
+
+@app.get("/")
+def home():
+    return {"message": "It is working!"}
+
+@app.get("/generate")
+def generate(sequence_to_classify):
+    classifier = pipeline("zero-shot-classification", model="joeddav/xlm-roberta-large-xnli")
+
+    candidate_labels = ["SAD", "HAPPY", "AGGRESSIVE"]
+
+    output = classifier(sequence_to_classify, candidate_labels)
+
+    return {"output":output['labels'][0]}