complete tutorial

Dockerfile

@@ -9,6 +9,16 @@ COPY ./requirements.txt /code/requirements.txt
 
 RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
 
-COPY . .
+
+RUN useradd -m -u 1000 user
+
+USER user
+
+ENV HOME=/home/user \
+	PATH=/home/user/.local/bin:$PATH
+
+WORKDIR $HOME/app
+
+COPY --chown=user . $HOME/app
 
 CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]

main.py

@@ -1,7 +1,19 @@
 from fastapi import FastAPI
+from fastapi.staticfiles import StaticFiles
+from fastapi.responses import FileResponse
+from transformers import pipeline
 
 app = FastAPI()
 
+app.mount("/", StaticFiles(directory="static", html=True), name="static")
+
 @app.get("/")
-def read_root():
-    return {"Hello": "World!"}
+def index() -> FileResponse:
+    return FileResponse(path="/app/static/index.html", media_type="text/html")
+
+pipe_flan = pipeline("text2text-generation", model="google/flan-t5-small")
+
+@app.get("/infer_t5")
+def t5(input):
+    output = pipe_flan(input)
+    return {"output": output[0]["generated_text"]}

static/index.html

@@ -0,0 +1,24 @@
+<main>
+  <section id="text-gen">
+    <h2>Text generation using Flan T5</h2>
+    <p>
+      Model:
+      <a
+        href="https://huggingface.co/google/flan-t5-small"
+        rel="noreferrer"
+        target="_blank"
+        >google/flan-t5-small
+      </a>
+    </p>
+    <form class="text-gen-form">
+      <label for="text-gen-input">Text prompt</label>
+      <input
+        id="text-gen-input"
+        type="text"
+        value="German: There are many ducks"
+      />
+      <button id="text-gen-submit">Submit</button>
+      <p class="text-gen-output"></p>
+    </form>
+  </section>
+</main>

static/script.js

@@ -0,0 +1,17 @@
+const textGenForm = document.querySelector(".text-gen-form");
+
+const translateText = async (text) => {
+  const inferResponse = await fetch(`infer_t5?input=${text}`);
+  const inferJson = await inferResponse.json();
+
+  return inferJson.output;
+};
+
+textGenForm.addEventListener("submit", async (event) => {
+  event.preventDefault();
+
+  const textGenInput = document.getElementById("text-gen-input");
+  const textGenParagraph = document.querySelector(".text-gen-output");
+
+  textGenParagraph.textContent = await translateText(textGenInput.value);
+});

static/style.css

@@ -0,0 +1,45 @@
+body {
+  --text: hsl(0 0% 15%);
+  padding: 2.5rem;
+  font-family: sans-serif;
+  color: var(--text);
+}
+
+body.dark-theme {
+  --text: hsl(0 0% 90%);
+  background-color: hsl(223 39% 7%);
+}
+
+main {
+  max-width: 80rem;
+  text-align: center;
+}
+
+section {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+}
+
+a {
+  color: var(--text);
+}
+
+form {
+  width: 30rem;
+  margin: 0 auto;
+}
+
+input {
+  width: 100%;
+}
+
+button {
+  cursor: pointer;
+}
+
+.text-gen-output {
+  min-height: 1.2rem;
+  margin: 1rem;
+  border: 0.5px solid grey;
+}