Update handle_models.py

handle_models.py

@@ -14,6 +14,76 @@ def get_current_time():
     current_time = now.strftime("%y-%m-%d %H:%M:%S")
     return current_time
 
+
+
+
+
+
+
+
+def load_fn(models, HF_TOKEN):
+    global models_load
+    models_load = {}
+    for model in models:
+        if model not in models_load:
+            try:
+                m = gr_Interface_load(f'models/{model}', hf_token=HF_TOKEN)
+                models_load[model] = m.fn  # Store the callable
+            except Exception as error:
+                print(error)
+                models_load[model] = lambda **kwargs: None
+
+async def infer(model_str, prompt, nprompt="", height=0, width=0, steps=0, cfg=0, seed=-1, timeout=120, hf_token=None):
+    print(f"{prompt}\n{model_str}\n{timeout}\n")
+    kwargs = {}
+    if height > 0: kwargs["height"] = height
+    if width > 0: kwargs["width"] = width
+    if steps > 0: kwargs["num_inference_steps"] = steps
+    if cfg > 0: kwargs["guidance_scale"] = cfg
+    kwargs["negative_prompt"] = nprompt
+
+    theSeed = randomize_seed() if seed == -1 else seed
+    kwargs["seed"] = theSeed
+    if hf_token:
+        kwargs["token"] = hf_token
+
+    try:
+        task = asyncio.create_task(asyncio.to_thread(models_load[model_str], prompt=prompt, **kwargs))
+        result = await asyncio.wait_for(task, timeout=timeout)
+    except asyncio.TimeoutError as e:
+        print(f"Timeout: {model_str}")
+        if not task.done(): task.cancel()
+        raise Exception(f"Timeout: {model_str}") from e
+    except Exception as e:
+        print(f"Exception: {model_str} -> {e}")
+        if not task.done(): task.cancel()
+        raise Exception(f"Inference failed: {model_str}") from e
+
+    if result is not None and not isinstance(result, tuple):
+        with lock:
+            png_path =  model_str.replace("/", "_") + " - " + get_current_time() + "_" + str(theSeed) + ".png"
+            image = save_image(result, png_path, model_str, prompt, nprompt, height, width, steps, cfg, theSeed)
+        return image
+    return None
+
+def gen_fn(model_str, prompt, nprompt="", height=0, width=0, steps=0, cfg=0, seed=-1, inference_timeout2=120):
+    try:
+        loop = asyncio.new_event_loop()
+        result = loop.run_until_complete(infer(model_str, prompt, nprompt,
+                                               height, width, steps, cfg, seed, inference_timeout2, HF_TOKEN))
+    except Exception as e:
+        print(f"gen_fn: Task aborted: {model_str} -> {e}")
+        raise gr.Error(f"Task aborted: {model_str}, Error: {e}")
+    finally:
+        loop.close()
+    return result
+
+
+
+
+
+    
+'''
 def load_fn(models,HF_TOKEN):
     global models_load
     models_load = {}
@@ -78,3 +148,4 @@ def gen_fn(model_str, prompt, nprompt="", height=0, width=0, steps=0, cfg=0, see
     finally:
         loop.close()
     return result
+'''