Update app.py

app.py

@@ -65,7 +65,7 @@ class BackendProcessor:
                     self.client = Client(url, **client_kwargs)
                     
                     # Test connection with a simple API call
-                    test_result = self.client.predict("test", api_name="/predict")
+                    test_result = self.client.predict(api_name="predict")
                     response_time = time.time() - start_time
                     
                     if test_result:
@@ -77,17 +77,17 @@ class BackendProcessor:
                         if len(self.response_times) > 10:
                             self.response_times.pop(0)
                         
-                        logger.info(f"[BACKEND] ✅ Connected to {url} (attempt {attempt+1}, {response_time:.2f}s)")
+                        logger.info(f"[BACKEND] Connected to {url} (attempt {attempt+1}, {response_time:.2f}s)")
                         return True
                         
                 except Exception as e:
-                    logger.warning(f"[BACKEND] ❌ Connection failed to {url} (attempt {attempt+1}): {e}")
+                    logger.warning(f"[BACKEND] Connection failed to {url} (attempt {attempt+1}): {e}")
                     self.connected = False
                     
                     if attempt < MAX_RETRIES - 1:
                         time.sleep(RETRY_DELAY)
         
-        logger.error(f"[BACKEND] ❌ All connection attempts failed after {MAX_RETRIES} tries")
+        logger.error(f"[BACKEND] All connection attempts failed after {MAX_RETRIES} tries")
         self.connected = False
         return False
     
@@ -112,7 +112,7 @@ class BackendProcessor:
             # Test tokenization
             try:
                 start_time = time.time()
-                result = self.client.predict("health check test", api_name="/predict")
+                result = self.client.predict(api_name="predict")
                 response_time = time.time() - start_time
                 endpoints_status["tokenize"] = {"status": "ok", "response_time": response_time}
             except Exception as e:
@@ -121,7 +121,7 @@ class BackendProcessor:
             # Test cache stats
             try:
                 start_time = time.time()
-                result = self.client.predict(api_name="/predict_6")
+                result = self.client.predict(api_name="predict_6")
                 response_time = time.time() - start_time
                 data = json.loads(result)
                 if data.get("success"):
@@ -194,7 +194,7 @@ class BackendProcessor:
             return
         
         def _background():
-            result = self._make_request("/predict", text)
+            result = self._make_request("predict", text)
             if result:
                 try:
                     data = json.loads(result)
@@ -210,7 +210,7 @@ class BackendProcessor:
         prompt_hash = hashlib.md5(prompt.encode()).hexdigest()[:16]
         
         def _background():
-            result = self._make_request("/predict_3", prompt_hash, response)
+            result = self._make_request("predict_2", prompt_hash, response)
             if result:
                 try:
                     data = json.loads(result)
@@ -225,7 +225,7 @@ class BackendProcessor:
         """Try to get cached response (synchronous) with enhanced error handling"""
         prompt_hash = hashlib.md5(prompt.encode()).hexdigest()[:16]
         
-        result = self._make_request("/predict_4", prompt_hash)
+        result = self._make_request("predict_3", prompt_hash)
         if result:
             try:
                 data = json.loads(result)
@@ -240,7 +240,7 @@ class BackendProcessor:
     def charge_tokens_async(self, username: str, duration_ms: float):
         """Calculate token cost asynchronously with enhanced error handling"""
         def _background():
-            result = self._make_request("/predict_5", username, duration_ms)
+            result = self._make_request("predict_4", username, duration_ms)
             if result:
                 try:
                     data = json.loads(result)