first push

_test.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import math\n",
+    "import pandas as pd\n",
+    "\n",
+    "def vix_spy_csv(csv_name):\n",
+    "    df = pd.read_csv(csv_name, header=None)\n",
+    "    df.index = df.pop(0)\n",
+    "    vix_spy_dict = df.to_dict()[1]\n",
+    "\n",
+    "    def vix_calculator(vix, spy, days=365):\n",
+    "        score = ( (vix / math.sqrt(days)) / 100 )\n",
+    "        return spy*(1-score), spy*(1+score)\n",
+    "\n",
+    "    return vix_calculator(vix_spy_dict['VIX'], vix_spy_dict['SPY'], days=365)\n",
+    "\n",
+    "# val1, val2 = (vix_spy_csv('VIX.csv'))\n",
+    "# print ('Volatility Range: ' + str(val1) + ' - ' + str(val2))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "IMPORTANT: You are using gradio version 3.13.0, however version 3.14.0 is available, please upgrade.\n",
+      "--------\n",
+      "Running on local URL:  http://127.0.0.1:7865\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7865/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Traceback (most recent call last):\n",
+      "  File \"c:\\Users\\ardit\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\gradio\\routes.py\", line 297, in run_predict\n",
+      "    output = await app.blocks.process_api(\n",
+      "  File \"c:\\Users\\ardit\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\gradio\\blocks.py\", line 1007, in process_api\n",
+      "    result = await self.call_function(fn_index, inputs, iterator, request)\n",
+      "  File \"c:\\Users\\ardit\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\gradio\\blocks.py\", line 848, in call_function\n",
+      "    prediction = await anyio.to_thread.run_sync(\n",
+      "  File \"c:\\Users\\ardit\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\anyio\\to_thread.py\", line 31, in run_sync\n",
+      "    return await get_asynclib().run_sync_in_worker_thread(\n",
+      "  File \"c:\\Users\\ardit\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\anyio\\_backends\\_asyncio.py\", line 937, in run_sync_in_worker_thread\n",
+      "    return await future\n",
+      "  File \"c:\\Users\\ardit\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\anyio\\_backends\\_asyncio.py\", line 867, in run\n",
+      "    result = context.run(func, *args)\n",
+      "  File \"C:\\Users\\ardit\\AppData\\Local\\Temp\\ipykernel_616\\2025908543.py\", line 11, in greet\n",
+      "    output = vix_spy_csv(file1.name)\n",
+      "NameError: name 'vix_spy_csv' is not defined\n"
+     ]
+    }
+   ],
+   "source": [
+    "import gradio as gr\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import os\n",
+    "\n",
+    "# os.system('pip install openpyxl')\n",
+    "\n",
+    "#multiple inputs are passed as arguments for the same function greet\n",
+    "def greet(file1):\n",
+    "    # df = pd.read_csv(file1.name)\n",
+    "    output = vix_spy_csv(file1.name)\n",
+    "    print(output)\n",
+    "    return str(output)\n",
+    "\n",
+    "# iface = gr.Interface(fn=greet, inputs=[\"file\", \"file\", gr.inputs.Textbox(placeholder=\"Enter Question here...\")], outputs=\"text\")\n",
+    "iface = gr.Interface(fn=greet, inputs=['file'], outputs=\"file\")\n",
+    "# iface.launch(share=True)\n",
+    "iface.launch(share=False)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "fdf377d643bc1cb065454f0ad2ceac75d834452ecf289e7ba92c6b3f59a7cee1"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

app.py

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+import gradio as gr
+import pandas as pd
+import numpy as np
+import os
+import math
+os.system('pip install openpyxl')
+
+def vix_spy_csv(csv_name):
+    df = pd.read_csv(csv_name, header=None)
+    df.index = df.pop(0)
+    vix_spy_dict = df.to_dict()[1]
+
+    def vix_calculator(vix, spy, days=365):
+        score = ( (vix / math.sqrt(days)) / 100 )
+        return spy*(1-score), spy*(1+score)
+
+    return vix_calculator(vix_spy_dict['VIX'], vix_spy_dict['SPY'], days=365)
+
+#multiple inputs are passed as arguments for the same function greet
+def greet(file1):
+    # df = pd.read_csv(file1.name)
+    output = vix_spy_csv(file1.name)
+    print(output)
+    return str(output)
+
+# iface = gr.Interface(fn=greet, inputs=["file", "file", gr.inputs.Textbox(placeholder="Enter Question here...")], outputs="text")
+iface = gr.Interface(fn=greet, inputs=['file'], outputs="text")
+# iface.launch(share=True)
+iface.launch(share=False)