update

Dockerfile

@@ -1,11 +1,25 @@
 FROM python:3.9
 
-WORkDIR /code
-
 COPY ./requirements.txt /code/requirements.txt
 
 RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
 
 COPY . .
 
+# setup new user
+RUN useradd -m -u 1000 user
+
+WORkDIR /code
+
+# switch to the new user
+USER user
+
+# set home to the new user's home
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH
+
+WORKDIR /app
+
+COPY --chown=user . $HOME/app
+
 CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]

main.py

@@ -1,7 +1,12 @@
 from fastapi import FastAPI
 
 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="/static/index.html", media_type="text/html")
+
+def t5(input):
+    output = pipe_flan(input)
+    return {"output": output[0]["generated_text"]}

static/index.html

@@ -0,0 +1,26 @@
+<main>
+  <section id="text-gen">
+    <h2>Text generation using Flan T5</h2>
+    <p>
+      Model:
+      <a
+        href="https://huggingface.co/google/flan-t5-small"
+        target="_blank"
+        rel="noreferrer">
+        google/flan-t5-small
+      </a>
+    </p>
+    <form class="text-gen-form">
+      <label for="text-gen-input">Text prompt</label>
+      <input
+        type="text"
+        id="text-gen-input"
+        name="text-gen-input"
+        placeholder="Enter text prompt here"
+        required
+        value="German: There are many ducks"/>
+      <button id="text-gen-submit" type="submit">Generate</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 (e) => {
+  e.preventDefault();
+
+  const textGenInput = document.getElementById("text-gen-input");
+  const textGenParagraph = document.getElementById("text-gen-output");
+
+  textGenParagraph.textContent = await translateText(textGenInput.value);
+});