Add application file

Dockerfile

@@ -1,16 +1,22 @@
-# Read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
+
+# read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
 # you will also find guides on how best to write your Dockerfile
 
 FROM python:3.9
 
+# The two following lines are requirements for the Dev Mode to be functional
+# Learn more about the Dev Mode at https://huggingface.co/dev-mode-explorers
 RUN useradd -m -u 1000 user
-USER user
-ENV PATH="/home/user/.local/bin:$PATH"
-
 WORKDIR /app
 
 COPY --chown=user ./requirements.txt requirements.txt
 RUN pip install --no-cache-dir --upgrade -r requirements.txt
 
 COPY --chown=user . /app
-CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
+
+USER user
+
+ENV HOME=/home/user \
+	PATH=/home/user/.local/bin:$PATH
+
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]

app.py

@@ -1,7 +0,0 @@
-from fastapi import FastAPI
-
-app = FastAPI()
-
-@app.get("/")
-def greet_json():
-    return {"Hello": "World!"}

main.py

@@ -0,0 +1,5 @@
+app.mount("/", StaticFiles(directory="static", html=True), name="static")
+
+@app.get("/")
+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);
+});