Fixed dumb input

Gradio_app.ipynb

@@ -2,14 +2,14 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Running on local URL:  http://127.0.0.1:7860\n",
+      "Running on local URL:  http://127.0.0.1:7861\n",
       "\n",
       "To create a public link, set `share=True` in `launch()`.\n"
      ]
@@ -17,7 +17,7 @@
     {
      "data": {
       "text/html": [
-       "<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+       "<div><iframe src=\"http://127.0.0.1:7861/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -30,7 +30,7 @@
      "data": {
       "text/plain": []
      },
-     "execution_count": 1,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -574,7 +574,7 @@
     "    return image\n",
     "\n",
     "# model = torch.jit.load(\"model.pt\")\n",
-    "model = torch.jit.load(\"quantized_model.pt\")\n",
+    "model = torch.jit.load(\"model.pt\")\n",
     "\n",
     "model.eval()\n",
     "\n",
@@ -769,7 +769,6 @@
     "        with gr.Row():\n",
     "            with gr.Column(scale=2):\n",
     "                inputs_vel_model = [\n",
-    "                    ## FIX FILE NAME ISSUE\n",
     "                    gr.Slider(minimum=-180, maximum=180, value=0, step=5, label=\"Azimuth\", interactive=True),\n",
     "                    gr.Slider(minimum=-90, maximum=90, value=30, step=5, label=\"Elevation\", interactive=True)\n",
     "                ]\n",

app.py

@@ -536,7 +536,7 @@ def compute_velocity_model(azimuth, elevation):
     return image
 
 # model = torch.jit.load("model.pt")
-model = torch.jit.load("quantized_model.pt")
+model = torch.jit.load("model.pt")
 
 model.eval()
 
@@ -731,7 +731,6 @@ with gr.Blocks() as demo:
         with gr.Row():
             with gr.Column(scale=2):
                 inputs_vel_model = [
-                    ## FIX FILE NAME ISSUE
                     gr.Slider(minimum=-180, maximum=180, value=0, step=5, label="Azimuth", interactive=True),
                     gr.Slider(minimum=-90, maximum=90, value=30, step=5, label="Elevation", interactive=True)
                 ]