Update app.py

app.py

@@ -5,8 +5,12 @@ import requests
 # --------------------------
 # Configuration
 # --------------------------
-HF_ENDPOINT_URL = "https://burmese-gpt-v3-poz.us-east-1.aws.endpoints.huggingface.cloud"
-HF_TOKEN = os.environ.get("HF_TOKEN")  # ✅ Loaded securely from Hugging Face Secrets
+
+# ✅ 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 = {
     "Authorization": f"Bearer {HF_TOKEN}",
@@ -32,6 +36,8 @@ def generate_text(prompt, max_length=150, temperature=0.7):
         response = requests.post(HF_ENDPOINT_URL, headers=headers, json=payload)
         if response.status_code == 200:
             return response.json()[0]["generated_text"]
+        elif response.status_code == 404:
+            return "❌ Endpoint not found. Please check your HF_ENDPOINT_URL."
         else:
             return f"❌ Error {response.status_code}: {response.text}"
     except Exception as e:
@@ -40,9 +46,9 @@ def generate_text(prompt, max_length=150, temperature=0.7):
 # --------------------------
 # Gradio UI
 # --------------------------
-with gr.Blocks(title="Burmese-GPT-v3 (Endpoint)") as demo:
-    gr.Markdown("## 📝 Burmese GPT-3 Text Generator via Hugging Face Endpoint")
-    gr.Markdown("Enter a Burmese prompt below and see the model generate text using a hosted inference endpoint.")
+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.Row():
         with gr.Column(scale=3):
@@ -54,7 +60,7 @@ with gr.Blocks(title="Burmese-GPT-v3 (Endpoint)") as demo:
         with gr.Column(scale=1):
             max_length = gr.Slider(
                 minimum=50,
-                maximum=300,
+                maximum=500,
                 value=150,
                 step=10,
                 label="Max New Tokens"
@@ -77,9 +83,13 @@ with gr.Blocks(title="Burmese-GPT-v3 (Endpoint)") as demo:
     )
 
     with gr.Accordion("📌 Example Prompts", open=False):
+        gr.Markdown("Click on a prompt below to try it out:")
         examples = [
             ["မင်္ဂလာပါ။ ကျွန်တော်က ကိုအောင်ပါ။ ရန်ကုန်မှာနေတယ်။ ဆရာလုပ်ပါတယ်။", 150, 0.7],
-            ["မြန်မာနိုင်ငံမှာ ရိုးရာပွဲတော်များ ဘယ်လိုကျင်းပကြတာလဲ။", 200, 0.8]
+            ["မြန်မာနိုင်ငံမှာ မိုးရာသီမှာ မိုးဘယ်လောက်ကျလဲ။", 150, 0.6],
+            ["အောင်မြင်တဲ့ကျောင်းသူတစ်ယောက်ဖြစ်ဖို့ ဘယ်လိုလေ့ကျင့်ရမလဲ။", 200, 0.8],
+            ["မြန်မာ့ယဉ်ကျေးမှုအကြောင်း ပြောပြပါ။", 150, 0.7],
+            ["သင်တောင်ကြီးသွားဖူးလား။ ဘယ်မှာသွားဖူးလဲ။", 150, 0.6]
         ]
         for idx, ex in enumerate(examples):
             example_btn = gr.Button(f"Example {idx+1}")
@@ -93,7 +103,13 @@ with gr.Blocks(title="Burmese-GPT-v3 (Endpoint)") as demo:
                 outputs=output
             )
 
-    gr.Markdown("### ℹ️ Troubleshooting\n- Make sure the endpoint URL is correct.\n- Ensure your `HF_TOKEN` secret is added.\n- Try refreshing if the model was inactive for a while.")
+    gr.Markdown("""
+    ---
+    ### ℹ️ Troubleshooting
+    - If the app says "❌ Endpoint not found", double-check your `HF_ENDPOINT_URL`.
+    - If the model takes a few seconds to respond, it's just warming up from idle.
+    - Ensure your Hugging Face token is added as `HF_TOKEN` under **Settings → Secrets**.
+    """)
 
 # --------------------------
 # Launch