flan t5 model test

Dockerfile

@@ -9,6 +9,15 @@ 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 +1,20 @@
 from fastapi import FastAPI
+from fastapi.staticfiles import StaticFiles
+from fastapi.responses import FileResponse
+
+from transformers import pipeline
 
 app = FastAPI()
 
+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"]}
+
+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")

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);
+});