Update app.py

app.py

@@ -3,7 +3,6 @@ from huggingface_hub import InferenceClient
 from transformers import pipeline
 import random
 import re
-import os # <-- Added this to read your secret key
 
 # ==========================================
 # 1. LOAD LOCAL DIAGNOSIS MODEL
@@ -35,7 +34,7 @@ def respond(
     max_tokens,
     temperature,
     top_p,
-    request: gr.Request, # <-- Removed the hf_token from here
+    request: gr.Request, 
 ):
     user_name = "User"
     if request:
@@ -45,13 +44,8 @@ def respond(
         yield f"Hello {user_name}, I'm here to support your emotional well-being. How can I help you today?"
         return
 
-    # <-- We now use YOUR secret key instead of asking the user to log in
-    hf_api_key = os.environ.get("HF_TOKEN")
-    if not hf_api_key:
-        yield "System Error: The developer needs to set the HF_TOKEN secret in their Space settings."
-        return
-
-    client = InferenceClient(token=hf_api_key, model="HuggingFaceH4/zephyr-7b-beta")
+    # <-- COMPLETELY ANONYMOUS CALL! No token required.
+    client = InferenceClient(model="HuggingFaceH4/zephyr-7b-beta")
 
     mental_state = "Neutral"
     if state_classifier:
@@ -99,7 +93,7 @@ def respond(
             response += token
             yield response
     except Exception as e:
-        yield f"Connection error: {str(e)}. Please try refreshing."
+        yield f"Server is busy: {str(e)}. Please wait a few seconds and try again!"
 
 # ==========================================
 # 3. GRADIO UI DESIGN
@@ -107,7 +101,6 @@ def respond(
 with gr.Blocks() as demo:
     with gr.Sidebar():
         gr.Markdown("## 🌿 Therapy Assistant")
-        # <-- REMOVED gr.LoginButton() completely!
         gr.Markdown("---")
         sys_msg = gr.Textbox(
             value=(