add both translation and langid endpoints

app.py

@@ -7,18 +7,32 @@ description = """"""
 article = "Check out [the original repo](https://huggingface.co/language-tools/language-translation) that this demo is based off of."
 
 
-API_URL = "https://api-inference.huggingface.co/models/t5-base"
+TRANSLATION_API_URL = "https://api-inference.huggingface.co/models/t5-base"
+LANG_ID_API_URL = "https://noe30ht5sav83xm1.us-east-1.aws.endpoints.huggingface.cloud"
 ACCESS_TOKEN = os.environ.get("ACCESS_TOKEN")
+# ACCESS_TOKEN = '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'
 headers = {"Authorization": f"Bearer {ACCESS_TOKEN}"}
 
+
 def query(payload):
-    response = requests.post(API_URL, headers=headers, json={"inputs": payload})
-    return response.json()
-	
+  translation_response = requests.post(TRANSLATION_API_URL, headers=headers, json={
+      "inputs": payload, "wait_for_model": True})
+  translation = translation_response.json()[0]['translation_text']
+
+  lang_id_response = requests.post(LANG_ID_API_URL, headers=headers, json={
+      "inputs": payload, "wait_for_model": True})
+  lang_id = lang_id_response.json()[0][0]
+
+  return [lang_id, translation]
+
+
 gr.Interface(
-    fn=query,
-    inputs="textbox",
-    outputs="text",
+    query,
+    gr.Textbox(lines=2),
+    outputs=[
+        gr.Textbox(lines=3, label="Detected Language"),
+        gr.Textbox(lines=3, label="Translation")
+    ],
     title=title,
     description=description,
     article=article