Update app.py

app.py

@@ -3,13 +3,13 @@ from huggingface_hub import InferenceClient
 import os
 
 CHAT_URL = os.getenv("CHAT_URL")
-TOKEN = os.getenv("TOKEN")
 PROJECT_ID = os.getenv("PROJECT_ID")
 
 def respond(
     message,
     history: list[dict[str, str]],
     system_message,
+    token,
     # max_tokens,
     # temperature,
     # top_p,
@@ -44,21 +44,25 @@ def respond(
     #     yield response
 
     req = requests.post(
-        "project_id": PROJECT_ID,
-        "session_id":system_message,
-        "user_input":message,
-        "update_variables": { // update_variables wajib kalau tidak pakai #ai
-            "alfamidi":"",
-            "alfagift":"",
-            "karir":"",
-            "layanan":"",
-            "program":"",
-            "voucher":"",
-            "results":"",
-            "identitas":"",
-            "kerjasama":""
-        },
-        "output_variables": ["results"]
+        CHAT_URL,
+        json={
+                "project_id": PROJECT_ID,
+                "session_id":system_message,
+                "user_input":message,
+                "update_variables": {
+                    "alfamidi":"",
+                    "alfagift":"",
+                    "karir":"",
+                    "layanan":"",
+                    "program":"",
+                    "voucher":"",
+                    "results":"",
+                    "identitas":"",
+                    "kerjasama":""
+                },
+                "output_variables": ["results"]
+            }
+        headers={"Authorization" : f"Bearer {token}"}
     )
 
     out = req.json()["data"]["results"]
@@ -74,6 +78,7 @@ chatbot = gr.ChatInterface(
     type="messages",
     additional_inputs=[
         gr.Textbox(value="TEST_123", label="session_id"),
+        gr.Textbox(value="TEST_123", label="token"),
         # gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
         # gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
         # gr.Slider(