Update app.py

app.py

@@ -7,7 +7,7 @@ import gradio as gr
 from concurrent.futures import ProcessPoolExecutor
 import multiprocessing
 
-# Load the model once outside of the function
+# Load the model once outside of the function and share across processes
 print("Loading the model...")
 model = AutoPipelineForText2Image.from_pretrained("stabilityai/sdxl-turbo")
 print("Model loaded successfully.")
@@ -66,15 +66,12 @@ async def queue_api_calls(sentence_mapping, character_dict, selected_style):
 def process_prompt(sentence_mapping, character_dict, selected_style):
     print(f"process_prompt called with sentence_mapping: {sentence_mapping}, character_dict: {character_dict}, selected_style: {selected_style}")
     try:
-        # See if there is a loop already running. If there is, reuse it.
         loop = asyncio.get_running_loop()
     except RuntimeError:
-        # Create new event loop if one is not running
         loop = asyncio.new_event_loop()
         asyncio.set_event_loop(loop)
     print("Event loop created.")
 
-    # This sends the prompts to function that sets up the async calls. Once all the calls to the API complete, it returns a list of the gr.Textbox with value= set.
     cmpt_return = loop.run_until_complete(queue_api_calls(sentence_mapping, character_dict, selected_style))
     print(f"process_prompt completed with return value: {cmpt_return}")
     return cmpt_return
@@ -92,5 +89,5 @@ gradio_interface = gr.Interface(
 
 if __name__ == "__main__":
     print("Launching Gradio interface...")
-    gradio_interface.launch()
+    gradio_interface.launch(server_name="0.0.0.0", server_port=7860, debug=True)
     print("Gradio interface launched.")