Update app.py

app.py

@@ -1,41 +1,12 @@
 import gradio as gr
 import os
-import time
-from collections import defaultdict
 
-# Environment variables
+# Fetch token and model information
 token = os.environ["TOKEN"]
 model = os.environ["MODEL"]
 
-# Dictionary to store request timestamps for rate limiting
-request_log = defaultdict(list)
-
-def rate_limiter(fn):
-    def wrapper(*args, **kwargs):
-        user_ip = "user_ip_placeholder"  # Replace with actual IP retrieval logic
-        current_time = time.time()
-
-        # Keep only recent requests within the last minute
-        request_log[user_ip] = [t for t in request_log[user_ip] if current_time - t < 60]
-
-        if len(request_log[user_ip]) >= 5:  # Limit to 5 requests per minute
-            return "Rate limit exceeded. Please try again later."
-
-        request_log[user_ip].append(current_time)
-        return fn(*args, **kwargs)
-    return wrapper
-
-# Load your model from Gradio Spaces and apply the rate limiter
-@rate_limiter
-def limited_model_function(*args, **kwargs):
-    return demo(*args, **kwargs)
-
+# Load the model from Hugging Face Spaces
 demo = gr.load(model, src="spaces", token=token)
 
-demo.launch(
-    show_api=False,
-    show_error=False,
-    quiet=True,
-    debug=False,
-    fn=limited_model_function  # Wrap the function with rate limiting
-)
+# Launch without 'fn', as it's not a valid argument for the launch method
+demo.launch(show_api=False, show_error=False, quiet=True, debug=False)