first update

app.py

@@ -2,6 +2,7 @@ import gradio as gr
 from datasets import load_dataset, Dataset
 from collections import defaultdict
 import random
+import requests
 
 # Load the source dataset
 source_dataset = load_dataset("vietdata/eng_echo", split="train")
@@ -11,15 +12,28 @@ source_texts = source_dataset["query"]
 translations = defaultdict(list)
 processed_data = []
 
+def authenticate(user_id):
+
+    url = "https://intern-api.imtaedu.com/api/subnets/2/authenticate"
+    headers = {
+        "Content-Type": "application/json",
+        "Accept": "application/json",
+        "X-Public-Api-Key": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiaWF0IjoxNTE2MjM5MDIyfQ.SflKxwRJSMeKKF2QT4fwpMeJf36POk6yJV_adQssw5c"
+    }
+    payload = { "token": "NPldirErwCHb6ZB5NZ9WW0UDmlr3jxxJ" }
+    response = requests.post(url, json=payload, headers=headers)
+
+    return response.status_code == 200
+
 # Helper function to get the next text for translation
 def get_next_text(user_id):
     # Filter texts that already have 10 translations
-    # eligible_texts = [text for text in source_texts if len(translations[text]) < 10]
-    # if not eligible_texts:
-    #     return "All texts are fully translated."
+    eligible_texts = [text for text in source_texts if len(translations[text]) < 10]
+    if not eligible_texts:
+        return "All texts are fully translated."
 
     # Select a random eligible text for translation
-    next_text = random.choice(source_texts)
+    next_text = random.choice(eligible_texts)
     return next_text
 
 # Function to handle translation submission
@@ -71,8 +85,9 @@ user_sessions = {}
 
 def login(username, state):
     state[0] = username
+    
     # Authenticate user
-    if True:
+    if authenticate(username):
         #user_sessions[username] = True
         return f"Welcome, {username}!", gr.update(visible=False), gr.update(visible=True), get_next_text(username)
     else: