diff --git a/scripts/api.py b/scripts/api.py
new file mode 100644
index 0000000..97caf07
--- /dev/null
+++ b/scripts/api.py
@@ -0,0 +1,71 @@
+from fastapi import FastAPI, Response, Form 
+from fastapi.responses import JSONResponse 
+from modules import sd_models, shared, scripts
+import asyncio
+import gradio as gr
+
+
+def test_api(_: gr.Blocks, app: FastAPI):    
+    """
+        it kept yelling at me without the stupid gradio import there, i'm sure i did something wrong
+        --------------------------
+            Error executing callback app_started_callback for E:\storage\stable-diffusion-webui\extensions\apitest\scripts\api.py
+            Traceback (most recent call last):
+            File "E:\storage\stable-diffusion-webui\modules\script_callbacks.py", line 88, in app_started_callback
+            c.callback(demo, app)
+            TypeError: test_api() takes 1 positional argument but 2 were given
+    """
+    @app.post("/customModelChannelAPI/count")
+    async def return_model_unet_channel_count(
+        model_name: str = Form(description="the model to be inspected")
+    ):
+        err_msg = ""
+        checkpoint_dict_skip_on_merge = ["cond_stage_model.transformer.text_model.embeddings.position_ids"]
+        try:
+            model = sd_models.checkpoints_list[model_name]
+        except: 
+            err_msg = "submitted model failed loading, falling back to loaded model"
+            model = sd_models.checkpoints_list[get_current_model()]
+        theta_0 = sd_models.read_state_dict(model.filename, map_location='cpu')
+        channelCount = theta_0["model.diffusion_model.input_blocks.0.0.weight"].shape[1]
+        return {            
+            "unet_channels": channelCount,
+            "estimated_type": switchAssumption(channelCount),            
+            "tested_model": model,
+            "additional_data": err_msg
+        }
+
+def switchAssumption(channelCount):
+    match channelCount:
+        case 4:
+            return "traditional"
+        case 5:
+            return "sdv2 depth2img"
+        case 7:
+            return "sdv2 upscale 4x"
+        case 8: 
+            return "instruct-pix2pix"
+        case 9: 
+            return "inpainting"
+        case _:
+            return "¯\_(ツ)_/¯"
+
+def get_current_model():
+    options = {}
+    for key in shared.opts.data.keys():
+        metadata = shared.opts.data_labels.get(key)
+        if(metadata is not None):
+            options.update({key: shared.opts.data.get(key, shared.opts.data_labels.get(key).default)})
+        else:
+            options.update({key: shared.opts.data.get(key, None)})
+
+    return options["sd_model_checkpoint"] # super inefficient but i'm a moron
+
+
+try:
+    import modules.script_callbacks as script_callbacks
+    script_callbacks.on_app_started(test_api)
+except:
+    print("[openOutpaint-webui-extension] UNET API failed to initialize")
+    
+    
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