Update app.py

app.py

@@ -1,3 +1,51 @@
 import gradio as gr
 
+import logging
+import gradio as gr
+from queue import Queue
+import time
+from prometheus_client import start_http_server, Counter, Histogram
+
+# --- Prometheus Metrics Setup ---
+REQUEST_COUNT = Counter('gradio_request_count', 'Total number of requests')
+REQUEST_LATENCY = Histogram('gradio_request_latency_seconds', 'Request latency in seconds')
+
+# --- Logging Setup ---
+logging.basicConfig(filename="chat_log.txt", level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+
+# --- Queue and Metrics ---
+chat_queue = Queue()
+
+# --- Chat Function with Monitoring ---
+def chat_function(message, history):
+    with REQUEST_LATENCY.time():
+        REQUEST_COUNT.inc()
+
+        try:
+            start_time = time.time()
+            chat_queue.put(message)
+            logging.info(f"User: {message}")
+
+            # ... (Your chatbot processing logic here) ...
+            time.sleep(2)  # Simulate processing delay
+            response = chat_queue.get()
+            logging.info(f"Bot: {response}")
+
+            return response
+        except Exception as e:
+            logging.error(f"Error in chat processing: {e}")
+            return "An error occurred. Please try again."
+
+# --- Gradio Interface ---
+with gr.Blocks() as demo:
+    gr.Markdown("## Chat with the Bot")
+    chatbot = gr.ChatInterface(fn=chat_function)
+
+# --- Start Prometheus Metrics Server ---
+start_http_server(8000)  # Expose metrics on port 8000
+
+
+
+
+
 gr.load("models/Sevixdd/roberta-base-finetuned-ner").launch()