Update app.py

app.py

@@ -5,11 +5,7 @@ import requests
 # --------------------------
 # Configuration
 # --------------------------
-
-# ✅ Your actual Inference Endpoint URL
 HF_ENDPOINT_URL = "https://dqptyla9qxd15452.us-east-1.aws.endpoints.huggingface.cloud"
-
-# ✅ Your token securely accessed via Hugging Face Secrets
 HF_TOKEN = os.environ.get("HF_TOKEN")
 
 headers = {
@@ -38,6 +34,10 @@ def generate_text(prompt, max_length=150, temperature=0.7):
             return response.json()[0]["generated_text"]
         elif response.status_code == 404:
             return "❌ Endpoint not found. Please check your HF_ENDPOINT_URL."
+        elif response.status_code == 403:
+            return "❌ Forbidden: Check your HF_TOKEN permissions."
+        elif response.status_code == 503:
+            return "❌ Service Unavailable: The endpoint may be starting up. Please wait and try again."
         else:
             return f"❌ Error {response.status_code}: {response.text}"
     except Exception as e:
@@ -46,9 +46,9 @@ def generate_text(prompt, max_length=150, temperature=0.7):
 # --------------------------
 # Gradio UI
 # --------------------------
-with gr.Blocks(title="Burmese-GPT-v3 (Hosted Inference Endpoint)") as demo:
-    gr.Markdown("## 🧠 Burmese GPT-3 Text Generator")
-    gr.Markdown("This app connects to a Hugging Face Inference Endpoint to generate Burmese language text.\n\nJust enter a prompt in Burmese, adjust settings, and hit 'Generate Text'!")
+with gr.Blocks(title="Healthelic Burmese LLM (Hosted Inference Endpoint)") as demo:
+    gr.Markdown("## 🧠 Healthelic Burmese LLM")
+    gr.Markdown("This app connects to a Hugging Face Inference Endpoint to generate Burmese language text.\n\nEnter a prompt in Burmese, adjust settings, and click 'Generate Text'.")
 
     with gr.Row():
         with gr.Column(scale=3):