diff --git "a/notebook.ipynb" "b/notebook.ipynb" --- "a/notebook.ipynb" +++ "b/notebook.ipynb" @@ -11,8 +11,6 @@ }, { "cell_type": "code", - "execution_count": null, - "outputs": [], "source": [ "import torch\n", "from train_model import train_model\n", @@ -73,8 +71,13 @@ "torch.save(trained_model.state_dict(), PARAMETER_FILEPATH)" ], "metadata": { - "collapsed": false - } + "collapsed": false, + "ExecuteTime": { + "start_time": "2024-09-10T22:21:48.168855Z" + } + }, + "outputs": [], + "execution_count": null }, { "cell_type": "markdown", @@ -87,13 +90,11 @@ }, { "cell_type": "code", - "execution_count": null, "metadata": { "pycharm": { "name": "#%%\n" } }, - "outputs": [], "source": [ "from helpers import visualize_model\n", "import torch\n", @@ -132,7 +133,9 @@ " device=device,\n", " batch_size=BATCH_SIZE\n", ")" - ] + ], + "outputs": [], + "execution_count": null }, { "cell_type": "markdown", @@ -145,112 +148,25 @@ }, { "cell_type": "code", - "execution_count": 1, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\MaxHu\\anaconda3\\envs\\quantum-env\\Lib\\site-packages\\torchvision\\models\\_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.\n", - " warnings.warn(\n", - "C:\\Users\\MaxHu\\anaconda3\\envs\\quantum-env\\Lib\\site-packages\\torchvision\\models\\_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet18_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet18_Weights.DEFAULT` to get the most up-to-date weights.\n", - " warnings.warn(msg)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "tensor([[-0.2979, -3.4971, -0.1347, 0.3992],\n", - " [-0.2979, -3.4971, -0.1347, 0.3992],\n", - " [-0.2979, -3.4971, -0.1347, 0.3992],\n", - " [-0.2979, -3.4971, -0.1347, 0.3992]])\n", - "tensor(3)\n", - "['Mild_Demented', 'Moderate_Demented', 'Non_Demented', 'Very_Mild_Demented']\n", - "PREDICTION: Very_Mild_Demented\n" - ] - }, - { - "data": { - "text/plain": "
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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], "source": [ "from generate_prediction import generate_prediction\n", "pred = generate_prediction(\"./image.jpeg\")\n", "print(\"PREDICTION:\",pred)" ], "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2023-12-09T01:21:29.577830800Z", - "start_time": "2023-12-09T01:21:24.891970500Z" - } - } + "collapsed": false + }, + "outputs": [], + "execution_count": null }, { "cell_type": "code", - "execution_count": 11, - "outputs": [ - { - "ename": "ConnectionError", - "evalue": "HTTPConnectionPool(host='0.0.0.0', port=5000): Max retries exceeded with url: /image (Caused by NewConnectionError(': Failed to establish a new connection: [WinError 10049] The requested address is not valid in its context'))", - "output_type": "error", - "traceback": [ - "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m", - "\u001B[1;31mOSError\u001B[0m Traceback (most recent call last)", - "File \u001B[1;32m~\\anaconda3\\envs\\quantum-env\\Lib\\site-packages\\urllib3\\connection.py:203\u001B[0m, in \u001B[0;36mHTTPConnection._new_conn\u001B[1;34m(self)\u001B[0m\n\u001B[0;32m 202\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m--> 203\u001B[0m sock \u001B[38;5;241m=\u001B[39m connection\u001B[38;5;241m.\u001B[39mcreate_connection(\n\u001B[0;32m 204\u001B[0m (\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_dns_host, \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mport),\n\u001B[0;32m 205\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mtimeout,\n\u001B[0;32m 206\u001B[0m source_address\u001B[38;5;241m=\u001B[39m\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39msource_address,\n\u001B[0;32m 207\u001B[0m socket_options\u001B[38;5;241m=\u001B[39m\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39msocket_options,\n\u001B[0;32m 208\u001B[0m )\n\u001B[0;32m 209\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m socket\u001B[38;5;241m.\u001B[39mgaierror \u001B[38;5;28;01mas\u001B[39;00m e:\n", - "File \u001B[1;32m~\\anaconda3\\envs\\quantum-env\\Lib\\site-packages\\urllib3\\util\\connection.py:85\u001B[0m, in \u001B[0;36mcreate_connection\u001B[1;34m(address, timeout, source_address, socket_options)\u001B[0m\n\u001B[0;32m 84\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m---> 85\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m err\n\u001B[0;32m 86\u001B[0m \u001B[38;5;28;01mfinally\u001B[39;00m:\n\u001B[0;32m 87\u001B[0m \u001B[38;5;66;03m# Break explicitly a reference cycle\u001B[39;00m\n", - "File \u001B[1;32m~\\anaconda3\\envs\\quantum-env\\Lib\\site-packages\\urllib3\\util\\connection.py:73\u001B[0m, in \u001B[0;36mcreate_connection\u001B[1;34m(address, timeout, source_address, socket_options)\u001B[0m\n\u001B[0;32m 72\u001B[0m sock\u001B[38;5;241m.\u001B[39mbind(source_address)\n\u001B[1;32m---> 73\u001B[0m sock\u001B[38;5;241m.\u001B[39mconnect(sa)\n\u001B[0;32m 74\u001B[0m \u001B[38;5;66;03m# Break explicitly a reference cycle\u001B[39;00m\n", - "\u001B[1;31mOSError\u001B[0m: [WinError 10049] The requested address is not valid in its context", - "\nThe above exception was the direct cause of the following exception:\n", - "\u001B[1;31mNewConnectionError\u001B[0m Traceback (most recent call last)", - "File \u001B[1;32m~\\anaconda3\\envs\\quantum-env\\Lib\\site-packages\\urllib3\\connectionpool.py:790\u001B[0m, in \u001B[0;36mHTTPConnectionPool.urlopen\u001B[1;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)\u001B[0m\n\u001B[0;32m 789\u001B[0m \u001B[38;5;66;03m# Make the request on the HTTPConnection object\u001B[39;00m\n\u001B[1;32m--> 790\u001B[0m response \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_make_request(\n\u001B[0;32m 791\u001B[0m conn,\n\u001B[0;32m 792\u001B[0m method,\n\u001B[0;32m 793\u001B[0m url,\n\u001B[0;32m 794\u001B[0m timeout\u001B[38;5;241m=\u001B[39mtimeout_obj,\n\u001B[0;32m 795\u001B[0m body\u001B[38;5;241m=\u001B[39mbody,\n\u001B[0;32m 796\u001B[0m headers\u001B[38;5;241m=\u001B[39mheaders,\n\u001B[0;32m 797\u001B[0m chunked\u001B[38;5;241m=\u001B[39mchunked,\n\u001B[0;32m 798\u001B[0m retries\u001B[38;5;241m=\u001B[39mretries,\n\u001B[0;32m 799\u001B[0m response_conn\u001B[38;5;241m=\u001B[39mresponse_conn,\n\u001B[0;32m 800\u001B[0m preload_content\u001B[38;5;241m=\u001B[39mpreload_content,\n\u001B[0;32m 801\u001B[0m decode_content\u001B[38;5;241m=\u001B[39mdecode_content,\n\u001B[0;32m 802\u001B[0m \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mresponse_kw,\n\u001B[0;32m 803\u001B[0m )\n\u001B[0;32m 805\u001B[0m \u001B[38;5;66;03m# Everything went great!\u001B[39;00m\n", - "File \u001B[1;32m~\\anaconda3\\envs\\quantum-env\\Lib\\site-packages\\urllib3\\connectionpool.py:496\u001B[0m, in \u001B[0;36mHTTPConnectionPool._make_request\u001B[1;34m(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_content_length)\u001B[0m\n\u001B[0;32m 495\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m--> 496\u001B[0m conn\u001B[38;5;241m.\u001B[39mrequest(\n\u001B[0;32m 497\u001B[0m method,\n\u001B[0;32m 498\u001B[0m url,\n\u001B[0;32m 499\u001B[0m body\u001B[38;5;241m=\u001B[39mbody,\n\u001B[0;32m 500\u001B[0m headers\u001B[38;5;241m=\u001B[39mheaders,\n\u001B[0;32m 501\u001B[0m chunked\u001B[38;5;241m=\u001B[39mchunked,\n\u001B[0;32m 502\u001B[0m preload_content\u001B[38;5;241m=\u001B[39mpreload_content,\n\u001B[0;32m 503\u001B[0m decode_content\u001B[38;5;241m=\u001B[39mdecode_content,\n\u001B[0;32m 504\u001B[0m enforce_content_length\u001B[38;5;241m=\u001B[39menforce_content_length,\n\u001B[0;32m 505\u001B[0m )\n\u001B[0;32m 507\u001B[0m \u001B[38;5;66;03m# We are swallowing BrokenPipeError (errno.EPIPE) since the server is\u001B[39;00m\n\u001B[0;32m 508\u001B[0m \u001B[38;5;66;03m# legitimately able to close the connection after sending a valid response.\u001B[39;00m\n\u001B[0;32m 509\u001B[0m \u001B[38;5;66;03m# With this behaviour, the received response is still readable.\u001B[39;00m\n", - "File \u001B[1;32m~\\anaconda3\\envs\\quantum-env\\Lib\\site-packages\\urllib3\\connection.py:395\u001B[0m, in \u001B[0;36mHTTPConnection.request\u001B[1;34m(self, method, url, body, headers, chunked, preload_content, decode_content, enforce_content_length)\u001B[0m\n\u001B[0;32m 394\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mputheader(header, value)\n\u001B[1;32m--> 395\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mendheaders()\n\u001B[0;32m 397\u001B[0m \u001B[38;5;66;03m# If we're given a body we start sending that in chunks.\u001B[39;00m\n", - "File \u001B[1;32m~\\anaconda3\\envs\\quantum-env\\Lib\\http\\client.py:1281\u001B[0m, in \u001B[0;36mHTTPConnection.endheaders\u001B[1;34m(self, message_body, encode_chunked)\u001B[0m\n\u001B[0;32m 1280\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m CannotSendHeader()\n\u001B[1;32m-> 1281\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_send_output(message_body, encode_chunked\u001B[38;5;241m=\u001B[39mencode_chunked)\n", - "File \u001B[1;32m~\\anaconda3\\envs\\quantum-env\\Lib\\http\\client.py:1041\u001B[0m, in \u001B[0;36mHTTPConnection._send_output\u001B[1;34m(self, message_body, encode_chunked)\u001B[0m\n\u001B[0;32m 1040\u001B[0m \u001B[38;5;28;01mdel\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_buffer[:]\n\u001B[1;32m-> 1041\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39msend(msg)\n\u001B[0;32m 1043\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m message_body \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[0;32m 1044\u001B[0m \n\u001B[0;32m 1045\u001B[0m \u001B[38;5;66;03m# create a consistent interface to message_body\u001B[39;00m\n", - "File \u001B[1;32m~\\anaconda3\\envs\\quantum-env\\Lib\\http\\client.py:979\u001B[0m, in \u001B[0;36mHTTPConnection.send\u001B[1;34m(self, data)\u001B[0m\n\u001B[0;32m 978\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mauto_open:\n\u001B[1;32m--> 979\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mconnect()\n\u001B[0;32m 980\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n", - "File \u001B[1;32m~\\anaconda3\\envs\\quantum-env\\Lib\\site-packages\\urllib3\\connection.py:243\u001B[0m, in \u001B[0;36mHTTPConnection.connect\u001B[1;34m(self)\u001B[0m\n\u001B[0;32m 242\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mconnect\u001B[39m(\u001B[38;5;28mself\u001B[39m) \u001B[38;5;241m-\u001B[39m\u001B[38;5;241m>\u001B[39m \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[1;32m--> 243\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39msock \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_new_conn()\n\u001B[0;32m 244\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_tunnel_host:\n\u001B[0;32m 245\u001B[0m \u001B[38;5;66;03m# If we're tunneling it means we're connected to our proxy.\u001B[39;00m\n", - "File \u001B[1;32m~\\anaconda3\\envs\\quantum-env\\Lib\\site-packages\\urllib3\\connection.py:218\u001B[0m, in \u001B[0;36mHTTPConnection._new_conn\u001B[1;34m(self)\u001B[0m\n\u001B[0;32m 217\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mOSError\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[1;32m--> 218\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m NewConnectionError(\n\u001B[0;32m 219\u001B[0m \u001B[38;5;28mself\u001B[39m, \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mFailed to establish a new connection: \u001B[39m\u001B[38;5;132;01m{\u001B[39;00me\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m\"\u001B[39m\n\u001B[0;32m 220\u001B[0m ) \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;21;01me\u001B[39;00m\n\u001B[0;32m 222\u001B[0m \u001B[38;5;66;03m# Audit hooks are only available in Python 3.8+\u001B[39;00m\n", - "\u001B[1;31mNewConnectionError\u001B[0m: : Failed to establish a new connection: [WinError 10049] The requested address is not valid in its context", - "\nThe above exception was the direct cause of the following exception:\n", - "\u001B[1;31mMaxRetryError\u001B[0m Traceback (most recent call last)", - "File \u001B[1;32m~\\anaconda3\\envs\\quantum-env\\Lib\\site-packages\\requests\\adapters.py:486\u001B[0m, in \u001B[0;36mHTTPAdapter.send\u001B[1;34m(self, request, stream, timeout, verify, cert, proxies)\u001B[0m\n\u001B[0;32m 485\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m--> 486\u001B[0m resp \u001B[38;5;241m=\u001B[39m conn\u001B[38;5;241m.\u001B[39murlopen(\n\u001B[0;32m 487\u001B[0m method\u001B[38;5;241m=\u001B[39mrequest\u001B[38;5;241m.\u001B[39mmethod,\n\u001B[0;32m 488\u001B[0m url\u001B[38;5;241m=\u001B[39murl,\n\u001B[0;32m 489\u001B[0m body\u001B[38;5;241m=\u001B[39mrequest\u001B[38;5;241m.\u001B[39mbody,\n\u001B[0;32m 490\u001B[0m headers\u001B[38;5;241m=\u001B[39mrequest\u001B[38;5;241m.\u001B[39mheaders,\n\u001B[0;32m 491\u001B[0m redirect\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mFalse\u001B[39;00m,\n\u001B[0;32m 492\u001B[0m assert_same_host\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mFalse\u001B[39;00m,\n\u001B[0;32m 493\u001B[0m preload_content\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mFalse\u001B[39;00m,\n\u001B[0;32m 494\u001B[0m decode_content\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mFalse\u001B[39;00m,\n\u001B[0;32m 495\u001B[0m retries\u001B[38;5;241m=\u001B[39m\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mmax_retries,\n\u001B[0;32m 496\u001B[0m timeout\u001B[38;5;241m=\u001B[39mtimeout,\n\u001B[0;32m 497\u001B[0m chunked\u001B[38;5;241m=\u001B[39mchunked,\n\u001B[0;32m 498\u001B[0m )\n\u001B[0;32m 500\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m (ProtocolError, \u001B[38;5;167;01mOSError\u001B[39;00m) \u001B[38;5;28;01mas\u001B[39;00m err:\n", - "File \u001B[1;32m~\\anaconda3\\envs\\quantum-env\\Lib\\site-packages\\urllib3\\connectionpool.py:844\u001B[0m, in \u001B[0;36mHTTPConnectionPool.urlopen\u001B[1;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)\u001B[0m\n\u001B[0;32m 842\u001B[0m new_e \u001B[38;5;241m=\u001B[39m ProtocolError(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mConnection aborted.\u001B[39m\u001B[38;5;124m\"\u001B[39m, new_e)\n\u001B[1;32m--> 844\u001B[0m retries \u001B[38;5;241m=\u001B[39m retries\u001B[38;5;241m.\u001B[39mincrement(\n\u001B[0;32m 845\u001B[0m method, url, error\u001B[38;5;241m=\u001B[39mnew_e, _pool\u001B[38;5;241m=\u001B[39m\u001B[38;5;28mself\u001B[39m, _stacktrace\u001B[38;5;241m=\u001B[39msys\u001B[38;5;241m.\u001B[39mexc_info()[\u001B[38;5;241m2\u001B[39m]\n\u001B[0;32m 846\u001B[0m )\n\u001B[0;32m 847\u001B[0m retries\u001B[38;5;241m.\u001B[39msleep()\n", - "File \u001B[1;32m~\\anaconda3\\envs\\quantum-env\\Lib\\site-packages\\urllib3\\util\\retry.py:515\u001B[0m, in \u001B[0;36mRetry.increment\u001B[1;34m(self, method, url, response, error, _pool, _stacktrace)\u001B[0m\n\u001B[0;32m 514\u001B[0m reason \u001B[38;5;241m=\u001B[39m error \u001B[38;5;129;01mor\u001B[39;00m ResponseError(cause)\n\u001B[1;32m--> 515\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m MaxRetryError(_pool, url, reason) \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;21;01mreason\u001B[39;00m \u001B[38;5;66;03m# type: ignore[arg-type]\u001B[39;00m\n\u001B[0;32m 517\u001B[0m log\u001B[38;5;241m.\u001B[39mdebug(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mIncremented Retry for (url=\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;132;01m%s\u001B[39;00m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124m): \u001B[39m\u001B[38;5;132;01m%r\u001B[39;00m\u001B[38;5;124m\"\u001B[39m, url, new_retry)\n", - "\u001B[1;31mMaxRetryError\u001B[0m: HTTPConnectionPool(host='0.0.0.0', port=5000): Max retries exceeded with url: /image (Caused by NewConnectionError(': Failed to establish a new connection: [WinError 10049] The requested address is not valid in its context'))", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001B[1;31mConnectionError\u001B[0m Traceback (most recent call last)", - "Cell \u001B[1;32mIn[11], line 6\u001B[0m\n\u001B[0;32m 4\u001B[0m port \u001B[38;5;241m=\u001B[39m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m5000\u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[0;32m 5\u001B[0m url \u001B[38;5;241m=\u001B[39m schema \u001B[38;5;241m+\u001B[39m host \u001B[38;5;241m+\u001B[39m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m:\u001B[39m\u001B[38;5;124m\"\u001B[39m \u001B[38;5;241m+\u001B[39m port \u001B[38;5;241m+\u001B[39m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m/image\u001B[39m\u001B[38;5;124m\"\u001B[39m;\n\u001B[1;32m----> 6\u001B[0m \u001B[38;5;28mprint\u001B[39m(requests\u001B[38;5;241m.\u001B[39mpost(url,\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mTest\u001B[39m\u001B[38;5;124m\"\u001B[39m))\n", - "File \u001B[1;32m~\\anaconda3\\envs\\quantum-env\\Lib\\site-packages\\requests\\api.py:115\u001B[0m, in \u001B[0;36mpost\u001B[1;34m(url, data, json, **kwargs)\u001B[0m\n\u001B[0;32m 103\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mpost\u001B[39m(url, data\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mNone\u001B[39;00m, json\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mNone\u001B[39;00m, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs):\n\u001B[0;32m 104\u001B[0m \u001B[38;5;250m \u001B[39m\u001B[38;5;124mr\u001B[39m\u001B[38;5;124;03m\"\"\"Sends a POST request.\u001B[39;00m\n\u001B[0;32m 105\u001B[0m \n\u001B[0;32m 106\u001B[0m \u001B[38;5;124;03m :param url: URL for the new :class:`Request` object.\u001B[39;00m\n\u001B[1;32m (...)\u001B[0m\n\u001B[0;32m 112\u001B[0m \u001B[38;5;124;03m :rtype: requests.Response\u001B[39;00m\n\u001B[0;32m 113\u001B[0m \u001B[38;5;124;03m \"\"\"\u001B[39;00m\n\u001B[1;32m--> 115\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m request(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mpost\u001B[39m\u001B[38;5;124m\"\u001B[39m, url, data\u001B[38;5;241m=\u001B[39mdata, json\u001B[38;5;241m=\u001B[39mjson, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs)\n", - "File \u001B[1;32m~\\anaconda3\\envs\\quantum-env\\Lib\\site-packages\\requests\\api.py:59\u001B[0m, in \u001B[0;36mrequest\u001B[1;34m(method, url, **kwargs)\u001B[0m\n\u001B[0;32m 55\u001B[0m \u001B[38;5;66;03m# By using the 'with' statement we are sure the session is closed, thus we\u001B[39;00m\n\u001B[0;32m 56\u001B[0m \u001B[38;5;66;03m# avoid leaving sockets open which can trigger a ResourceWarning in some\u001B[39;00m\n\u001B[0;32m 57\u001B[0m \u001B[38;5;66;03m# cases, and look like a memory leak in others.\u001B[39;00m\n\u001B[0;32m 58\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m sessions\u001B[38;5;241m.\u001B[39mSession() \u001B[38;5;28;01mas\u001B[39;00m session:\n\u001B[1;32m---> 59\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m session\u001B[38;5;241m.\u001B[39mrequest(method\u001B[38;5;241m=\u001B[39mmethod, url\u001B[38;5;241m=\u001B[39murl, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs)\n", - "File \u001B[1;32m~\\anaconda3\\envs\\quantum-env\\Lib\\site-packages\\requests\\sessions.py:589\u001B[0m, in \u001B[0;36mSession.request\u001B[1;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001B[0m\n\u001B[0;32m 584\u001B[0m send_kwargs \u001B[38;5;241m=\u001B[39m {\n\u001B[0;32m 585\u001B[0m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mtimeout\u001B[39m\u001B[38;5;124m\"\u001B[39m: timeout,\n\u001B[0;32m 586\u001B[0m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mallow_redirects\u001B[39m\u001B[38;5;124m\"\u001B[39m: allow_redirects,\n\u001B[0;32m 587\u001B[0m }\n\u001B[0;32m 588\u001B[0m send_kwargs\u001B[38;5;241m.\u001B[39mupdate(settings)\n\u001B[1;32m--> 589\u001B[0m resp \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39msend(prep, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39msend_kwargs)\n\u001B[0;32m 591\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m resp\n", - "File \u001B[1;32m~\\anaconda3\\envs\\quantum-env\\Lib\\site-packages\\requests\\sessions.py:703\u001B[0m, in \u001B[0;36mSession.send\u001B[1;34m(self, request, **kwargs)\u001B[0m\n\u001B[0;32m 700\u001B[0m start \u001B[38;5;241m=\u001B[39m preferred_clock()\n\u001B[0;32m 702\u001B[0m \u001B[38;5;66;03m# Send the request\u001B[39;00m\n\u001B[1;32m--> 703\u001B[0m r \u001B[38;5;241m=\u001B[39m adapter\u001B[38;5;241m.\u001B[39msend(request, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs)\n\u001B[0;32m 705\u001B[0m \u001B[38;5;66;03m# Total elapsed time of the request (approximately)\u001B[39;00m\n\u001B[0;32m 706\u001B[0m elapsed \u001B[38;5;241m=\u001B[39m preferred_clock() \u001B[38;5;241m-\u001B[39m start\n", - "File \u001B[1;32m~\\anaconda3\\envs\\quantum-env\\Lib\\site-packages\\requests\\adapters.py:519\u001B[0m, in \u001B[0;36mHTTPAdapter.send\u001B[1;34m(self, request, stream, timeout, verify, cert, proxies)\u001B[0m\n\u001B[0;32m 515\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(e\u001B[38;5;241m.\u001B[39mreason, _SSLError):\n\u001B[0;32m 516\u001B[0m \u001B[38;5;66;03m# This branch is for urllib3 v1.22 and later.\u001B[39;00m\n\u001B[0;32m 517\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m SSLError(e, request\u001B[38;5;241m=\u001B[39mrequest)\n\u001B[1;32m--> 519\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mConnectionError\u001B[39;00m(e, request\u001B[38;5;241m=\u001B[39mrequest)\n\u001B[0;32m 521\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m ClosedPoolError \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[0;32m 522\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mConnectionError\u001B[39;00m(e, request\u001B[38;5;241m=\u001B[39mrequest)\n", - "\u001B[1;31mConnectionError\u001B[0m: HTTPConnectionPool(host='0.0.0.0', port=5000): Max retries exceeded with url: /image (Caused by NewConnectionError(': Failed to establish a new connection: [WinError 10049] The requested address is not valid in its context'))" - ] - } - ], - "source": [ - "import requests\n", - "schema = \"http://\"\n", - "host = \"192.168.0.110\" # \"127.0.0.1\"\n", - "port = \"5000\"\n", - "url = schema + host + \":\" + port + \"/image\";\n", - "print(requests.post(url,\"Test\"))" - ], + "source": "from app import *", "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2023-12-06T23:25:12.961184600Z", - "start_time": "2023-12-06T23:25:12.644535300Z" - } - } + "collapsed": false + }, + "outputs": [], + "execution_count": null }, { "cell_type": "markdown",