changes

_test.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -66,9 +66,55 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 75,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\Users\\ardit\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\gradio\\deprecation.py:43: UserWarning: You have unused kwarg parameters in Radio, please remove them: {'multiselect': False}\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7909\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7909/\" 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": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "459\n",
+      "27\n"
+     ]
+    }
+   ],
    "source": [
     "#the first module becomes text1, the second module file1\n",
     "def greet(size, target, stage, query): \n",
@@ -80,20 +126,23 @@
     "    df_knn = search(df, query)\n",
     "    df_knn['raised'] = df_knn['raised'].apply(lambda x : raised_zero(x))\n",
     "\n",
-    "    df_target = filter_df(df_knn, 'target', 'contains', target, 500)\n",
+    "    df_size = filter_df(df_knn, 'size', '==', size, 1)\n",
+    "\n",
     "    if stage != 'ALL':\n",
-    "        df_stage = filter_df(df_target, 'stage', '==', stage.lower(), 40)\n",
+    "        df_stage = filter_df(df_size, 'stage', '==', stage.lower(), 1)\n",
     "    else:\n",
     "        #we bypass the filter\n",
-    "        df_stage = df_target\n",
+    "        df_stage = df_size\n",
+    "\n",
+    "    print(df_stage.size)\n",
     "\n",
-    "    df_size = filter_df(df_stage, 'size', '==', size, 20)\n",
+    "    df_target = filter_df(df_stage, 'target', 'contains', target, 1)\n",
     "    \n",
     "    # display(df_stage)\n",
     "    # df_raised = df_target[(df_target['raised'] >= raised) | (df_target['raised'] == 0)]\n",
     "\n",
     "    #we live the sorting for last\n",
-    "    return df_size[0:100] #.sort_values('raised', ascending=False)\n",
+    "    return df_target[0:100] #.sort_values('raised', ascending=False)\n",
     "\n",
     "with gr.Blocks(theme=gr.themes.Soft(primary_hue='amber', secondary_hue='gray', neutral_hue='amber')) as demo:\n",
     "    gr.Markdown(\n",
@@ -103,7 +152,7 @@
     "    )\n",
     "    size = gr.Radio(['1-10', '11-50', '51-200', '201-500', '500+', '11-500+'], multiselect=False, value='11-500+', label='size')\n",
     "    target = gr.Radio(['B2B', 'B2C', 'B2G', 'B2B2C'], multiselect=False, value='B2B', label='target')\n",
-    "    stage = gr.Radio(['pre-seed', 'A', 'B', 'C', 'exit', 'ALL'], multiselect=False, value='ALL', label='stage')\n",
+    "    stage = gr.Radio(['pre-seed', 'A', 'B', 'C', 'ALL'], multiselect=False, value='ALL', label='stage')\n",
     "    # raised = gr.Slider(0, 20, value=5, step_size=1, label=\"Minimum raising (in Millions)\")\n",
     "    query = gr.Textbox(label='Describe the Startup you are searching for', value='age reversing')\n",
     "    btn = gr.Button(value=\"Search for a Startup\")\n",

app.py

@@ -65,20 +65,23 @@ def greet(size, target, stage, query):
     df_knn = search(df, query)
     df_knn['raised'] = df_knn['raised'].apply(lambda x : raised_zero(x))
 
-    df_target = filter_df(df_knn, 'target', 'contains', target, 500)
+    df_size = filter_df(df_knn, 'size', '==', size, 1)
+
     if stage != 'ALL':
-        df_stage = filter_df(df_target, 'stage', '==', stage.lower(), 40)
+        df_stage = filter_df(df_size, 'stage', '==', stage.lower(), 1)
     else:
         #we bypass the filter
-        df_stage = df_target
+        df_stage = df_size
+
+    print(df_stage.size)
 
-    df_size = filter_df(df_stage, 'size', '==', size, 0)
+    df_target = filter_df(df_stage, 'target', 'contains', target, 1)
     
     # display(df_stage)
     # df_raised = df_target[(df_target['raised'] >= raised) | (df_target['raised'] == 0)]
 
     #we live the sorting for last
-    return df_size[0:100] #.sort_values('raised', ascending=False)
+    return df_target[0:100] #.sort_values('raised', ascending=False)
 
 with gr.Blocks(theme=gr.themes.Soft(primary_hue='amber', secondary_hue='gray', neutral_hue='amber')) as demo:
     gr.Markdown(
@@ -88,7 +91,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue='amber', secondary_hue='gray', n
     )
     size = gr.Radio(['1-10', '11-50', '51-200', '201-500', '500+', '11-500+'], multiselect=False, value='11-500+', label='size')
     target = gr.Radio(['B2B', 'B2C', 'B2G', 'B2B2C'], multiselect=False, value='B2B', label='target')
-    stage = gr.Radio(['pre-seed', 'A', 'B', 'C', 'exit', 'ALL'], multiselect=False, value='ALL', label='stage')
+    stage = gr.Radio(['pre-seed', 'A', 'B', 'C', 'ALL'], multiselect=False, value='ALL', label='stage')
     # raised = gr.Slider(0, 20, value=5, step_size=1, label="Minimum raising (in Millions)")
     query = gr.Textbox(label='Describe the Startup you are searching for', value='age reversing')
     btn = gr.Button(value="Search for a Startup")