https

app.py

@@ -35,11 +35,13 @@ def get_user(request: Request):
     return None
 
 @app.get('/')
-def public(user: dict = Depends(get_user)):
+def public(request: Request, user: dict = Depends(get_user)):
+    scheme = "https"
+    host = request.client.host
     if user:
-        return RedirectResponse(url='/gradio')
+        return RedirectResponse(url=f"{scheme}://{host}/gradio")
     else:
-        return RedirectResponse(url='/login-demo')
+        return RedirectResponse(url=f"{scheme}://{host}/login-demo")
 
 @app.route('/logout')
 async def logout(request: Request):

static/index.js

@@ -1,126 +0,0 @@
-if (document.location.search.includes('dark-theme=true')) {
-  document.body.classList.add('dark-theme');
-}
-
-let cursor = 0;
-const RANGE = 5;
-const LIMIT = 16_000;
-
-const textToImage = async (text) => {
-  const inferenceResponse = await fetch(`infer_biggan?input=${text}`);
-  const inferenceBlob = await inferenceResponse.blob();
-
-  return URL.createObjectURL(inferenceBlob);
-};
-
-const translateText = async (text) => {
-  const inferResponse = await fetch(`infer_t5?input=${text}`);
-  const inferJson = await inferResponse.json();
-
-  return inferJson.output;
-};
-
-const queryDataset = async (start, end) => {
-  const queryResponse = await fetch(`query_emotion?start=${start}&end=${end}`);
-  const queryJson = await queryResponse.json();
-
-  return queryJson.output;
-};
-
-const updateTable = async (cursor, range = RANGE) => {
-  const table = document.querySelector('.dataset-output');
-
-  const fragment = new DocumentFragment();
-
-  const observations = await queryDataset(cursor, cursor + range);
-
-  for (const observation of observations) {
-    let row = document.createElement('tr');
-    let text = document.createElement('td');
-    let emotion = document.createElement('td');
-
-    text.textContent = observation.text;
-    emotion.textContent = observation.emotion;
-
-    row.appendChild(text);
-    row.appendChild(emotion);
-    fragment.appendChild(row);
-  }
-
-  table.innerHTML = '';
-
-  table.appendChild(fragment);
-
-  table.insertAdjacentHTML(
-    'afterbegin',
-    `<thead>
-      <tr>
-        <td>text</td>
-        <td>emotion</td>
-      </tr>
-    </thead>`
-  );
-};
-
-const imageGenSelect = document.getElementById('image-gen-input');
-const imageGenImage = document.querySelector('.image-gen-output');
-const textGenForm = document.querySelector('.text-gen-form');
-const tableButtonPrev = document.querySelector('.table-previous');
-const tableButtonNext = document.querySelector('.table-next');
-
-imageGenSelect.addEventListener('change', async (event) => {
-  const value = event.target.value;
-
-  try {
-    imageGenImage.src = await textToImage(value);
-    imageGenImage.alt = value + ' generated from BigGAN AI model';
-  } catch (err) {
-    console.error(err);
-  }
-});
-
-textGenForm.addEventListener('submit', async (event) => {
-  event.preventDefault();
-
-  const textGenInput = document.getElementById('text-gen-input');
-  const textGenParagraph = document.querySelector('.text-gen-output');
-
-  try {
-    textGenParagraph.textContent = await translateText(textGenInput.value);
-  } catch (err) {
-    console.error(err);
-  }
-});
-
-tableButtonPrev.addEventListener('click', () => {
-  cursor = cursor > RANGE ? cursor - RANGE : 0;
-
-  if (cursor < RANGE) {
-    tableButtonPrev.classList.add('hidden');
-  }
-  if (cursor < LIMIT - RANGE) {
-    tableButtonNext.classList.remove('hidden');
-  }
-
-  updateTable(cursor);
-});
-
-tableButtonNext.addEventListener('click', () => {
-  cursor = cursor < LIMIT - RANGE ? cursor + RANGE : cursor;
-
-  if (cursor >= RANGE) {
-    tableButtonPrev.classList.remove('hidden');
-  }
-  if (cursor >= LIMIT - RANGE) {
-    tableButtonNext.classList.add('hidden');
-  }
-
-  updateTable(cursor);
-});
-
-textToImage(imageGenSelect.value)
-  .then((image) => (imageGenImage.src = image))
-  .catch(console.error);
-
-updateTable(cursor)
-  .catch(console.error);

static/style.css

@@ -1,79 +0,0 @@
-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);
-}
-
-select, input, button, .text-gen-output {
-  padding: 0.5rem 1rem;
-}
-
-select, img, input {
-  margin: 0.5rem auto 1rem;
-}
-
-form {
-  width: 25rem;
-  margin: 0 auto;
-}
-
-input {
-  width: 70%;
-}
-
-button {
-  cursor: pointer;
-}
-
-.text-gen-output {
-  min-height: 1.2rem;
-  margin: 1rem;
-  border: 0.5px solid grey;
-}
-
-#dataset button {
-  width: 6rem;
-  margin: 0.5rem;
-}
-
-#dataset button.hidden {
-  visibility: hidden;
-}
-
-table {
-  max-width: 40rem;
-  text-align: left;
-  border-collapse: collapse;
-}
-
-thead {
-  font-weight: bold;
-}
-
-td {
-  padding: 0.5rem;
-}
-
-td:not(thead td) {
-  border: 0.5px solid grey;
-}