v5.0: Minimal version

app.py

@@ -7,7 +7,7 @@ from difflib import SequenceMatcher
 
 # Get API Key
 GROQ_API_KEY = os.environ.get("GROQ_API_KEY", "")
-print(f"🔍 API Key: {bool(GROQ_API_KEY)}")
+print(f"🔍 API Key exists: {bool(GROQ_API_KEY)}")
 
 client = None
 if GROQ_API_KEY:
@@ -33,24 +33,27 @@ try:
                 if user_text != "nan" and assistant_text != "nan" and user_text and assistant_text:
                     chat_db.append({"u": user_text, "a": assistant_text})
     
-    print(f"✅ Dataset: {len(chat_db)} pairs loaded")
+    print(f"✅ Dataset: {len(chat_db)} pairs")
 except Exception as e:
     print(f"⚠️ Dataset error: {e}")
 
 # --- AI Logic ---
 def generate_response(user_input):
-    user_input = user_input.strip()
+    user_input = str(user_input).strip()
     
     # Priority 1: Dataset Match
     for pair in chat_db:
-        if pair["u"].lower().strip() == user_input.lower().strip():
+        user_lower = pair["u"].lower().strip()
+        input_lower = user_input.lower()
+        
+        if user_lower == input_lower:
             res = pair["a"]
             for i in range(len(res)):
                 time.sleep(0.003)
                 yield res[: i + 1]
             return
         
-        if SequenceMatcher(None, user_input.lower(), pair["u"].lower()).ratio() > 0.80:
+        if SequenceMatcher(None, input_lower, user_lower).ratio() > 0.80:
             res = pair["a"]
             for i in range(len(res)):
                 time.sleep(0.003)
@@ -63,13 +66,12 @@ def generate_response(user_input):
         return
     
     try:
-        # Simple messages without history
         messages = [
-            {"role": "system", "content": "You are Amkyaw AI. A helpful Myanmar assistant."},
+            {"role": "system", "content": "You are a helpful assistant."},
             {"role": "user", "content": user_input}
         ]
         
-        print(f"📨 Sending {len(messages)} messages")
+        print(f"📨 Messages: {messages}")
         
         response = client.chat.completions.create(
             model="llama-3.1-8b-instant",
@@ -79,38 +81,14 @@ def generate_response(user_input):
         )
         yield response.choices[0].message.content
     except Exception as e:
-        print(f"❌ Groq API Error: {e}")
+        print(f"❌ Error: {e}")
         yield f"Error: {str(e)}"
 
 # --- UI ---
-custom_css = """
-footer { visibility: hidden !important; }
-.gradio-container { background: #0d1117 !important; color: white !important; }
-.header-card {
-    background: linear-gradient(90deg, #667eea 0%, #764ba2 100%);
-    border-radius: 20px; padding: 20px;
-}
-#input-row {
-    background: rgba(255,255,255,0.1);
-    border: 2px solid #667eea;
-    border-radius: 30px;
-    padding: 8px;
-}
-#send-btn {
-    background: linear-gradient(90deg, #667eea, #764ba2) !important;
-    border-radius: 50%;
-}
-"""
-
-with gr.Blocks(css=custom_css) as demo:
-    gr.HTML("""
-        <div class="header-card">
-            <b style="color:white;font-size:24px;">🤖 Amkyaw AI</b>
-            <span style="color:white;font-size:12px;">v4.9</span>
-        </div>
-    """)
+with gr.Blocks() as demo:
+    gr.HTML("<h2>🤖 Amkyaw AI v5.0</h2>")
     chatbot = gr.Chatbot(height=600)
-    with gr.Row(elem_id="input-row"):
+    with gr.Row():
         msg = gr.Textbox(placeholder="မေးချင်တာမေးပါ...", container=False, scale=15)
         btn = gr.Button("↑", scale=1)
     
@@ -119,10 +97,8 @@ with gr.Blocks(css=custom_css) as demo:
         return "", hist + [[msg, None]]
     
     def respond(hist):
-        if not hist or not hist[-1]:
-            return hist
-        text = hist[-1][0]
-        for reply in generate_response(text):
+        if not hist or not hist[-1]: return hist
+        for reply in generate_response(hist[-1][0]):
             hist[-1][1] = reply
             yield hist