Update myapp.py

myapp.py

@@ -1,7 +1,6 @@
 from flask import Flask, request, jsonify, send_file
 from flask_cors import CORS
 import os
-from random import randint
 from all_models import models
 from externalmod import gr_Interface_load
 import asyncio
@@ -27,7 +26,7 @@ def load_fn(models):
                 m = gr_Interface_load(f'models/{model}', hf_token=HF_TOKEN)
                 models_load[model] = m
             except Exception as error:
-                print(error)
+                print(f"Error loading model {model}: {error}")
                 models_load[model] = None  # Handle model loading failures
 
 load_fn(models)
@@ -36,10 +35,10 @@ inference_timeout = 600
 
 async def infer(model_str, prompt, seed=1, timeout=inference_timeout):
     kwargs = {"seed": seed}
-    task = asyncio.create_task(asyncio.to_thread(models_load[model_str].fn, prompt=prompt, **kwargs, token=HF_TOKEN))
-    await asyncio.sleep(0)
-    
     try:
+        task = asyncio.create_task(asyncio.to_thread(models_load[model_str].fn, prompt=prompt, **kwargs, token=HF_TOKEN))
+        await asyncio.sleep(0)
+
         result = await asyncio.wait_for(task, timeout=timeout)
         if task.done() and result is not None:
             with lock:
@@ -47,7 +46,7 @@ async def infer(model_str, prompt, seed=1, timeout=inference_timeout):
                 result.save(png_path)
                 return png_path  # Return the path of the saved image
     except Exception as e:
-        print(e)
+        print(f"Inference error for model {model_str}: {e}")  # Log the error message
         return None
 
 @myapp.route('/generate', methods=['POST'])
@@ -57,12 +56,17 @@ def generate():
     prompt = data.get('prompt')
     seed = data.get('seed', 1)
 
+    print(f"Received request for model: '{model_str}', prompt: '{prompt}', seed: {seed}")
+
     if model_str not in models_load or models_load[model_str] is None:
+        print(f"Model not found in models_load: {model_str}. Available models: {models_load.keys()}")
         return jsonify({"error": "Model not found or not loaded"}), 404
 
     image_path = asyncio.run(infer(model_str, prompt, seed, inference_timeout))
     if image_path is not None:
-        return send_file(image_path, mimetype='image/png')  # Send the generated image file
+        return send_file(image_path, mimetype='image/png')
+    
+    print("Image generation failed for:", model_str)  # Log failure reason
     return jsonify({"error": "Image generation failed"}), 500
 
 if __name__ == '__main__':