revert to flask once more

app.py

@@ -1,49 +1,36 @@
-import gradio as gr
-from threading import Thread
-import time
-import anvil.server
+from flask import Flask,request,render_template,send_file
 import os
-anvil.server.connect('55MH4EBKM22EP4E6D5T6CVSL-VGO5X4SM6JEXGJVT')
-import json
-import ast
 
-def run_script(scriptname):
-    # return scriptname
-    os.system(scriptname+' > ./out.txt')
+app=Flask(__name__)
+MESSAGED={'title':'Script Server',
+          'messageL':['script in "script" parameter or field of json input to /run will be run']}
+
+@app.route("/file/<string:filename>")
+def return_pdf(filename):
+    return send_file(filename)
+
+@app.route('/run',methods=['GET','POST'])
+def run_script():
+    script=''
+    # print(request.method)
+    print(request)
+    if request.method=='GET': 
+        script=request.args.get('script')
+        print('I am in get')
+    elif request.method=='POST':
+        print('I am in post')
+        data=request.get_json()
+        if 'script' in data: script=data['script']
+    if script=='' or script is None: return 'INVALID'
+    os.system(script+' > ./out.txt')
     with open('./out.txt','r') as f: output=f.read()
     return output
 
-@anvil.server.callable
-def run_command(scriptname):
-    os.system(scriptname+' > ./out.txt')
-    with open('./out.txt','r') as f: output=f.read()
-    return output
-
-@anvil.server.callable
-def get_file(filename):
-    m = BlobMedia('text/plain', 'Hello, world!', name='hello.txt')
-    return m
-
-gradio_interface = gr.Interface(
-  fn=run_script,
-  inputs="text",
-  outputs="text",
-  title="REST API with Gradio and Huggingface Spaces",
-  description='''Inputs should be json of test item e.g., as a dictionary; 
-  output right now is just returning the input; later label will be returned.
-
-  This is how to call the API from Python: 
-
-  import requests
-
-  response = requests.post("https://gmshroff-gmserver.hf.space/run/predict", json={
-  "data": [
-    "\<put some json string here\>",
-  ]}).json()
-
-  data = response["data"])
+@app.route('/',methods=['GET', 'POST'])
+def home():
+    return render_template('home.html',messageD=MESSAGED)
 
-  ''')
+if __name__=='__main__':
+    app.run(host="0.0.0.0", port=7860)
 
-gradio_interface.launch()
 

app_gradio.py

@@ -0,0 +1,49 @@
+import gradio as gr
+from threading import Thread
+import time
+import anvil.server
+import os
+anvil.server.connect('55MH4EBKM22EP4E6D5T6CVSL-VGO5X4SM6JEXGJVT')
+import json
+import ast
+
+def run_script(scriptname):
+    # return scriptname
+    os.system(scriptname+' > ./out.txt')
+    with open('./out.txt','r') as f: output=f.read()
+    return output
+
+@anvil.server.callable
+def run_command(scriptname):
+    os.system(scriptname+' > ./out.txt')
+    with open('./out.txt','r') as f: output=f.read()
+    return output
+
+@anvil.server.callable
+def get_file(filename):
+    m = BlobMedia('text/plain', 'Hello, world!', name='hello.txt')
+    return m
+
+gradio_interface = gr.Interface(
+  fn=run_script,
+  inputs="text",
+  outputs="text",
+  title="REST API with Gradio and Huggingface Spaces",
+  description='''Inputs should be json of test item e.g., as a dictionary; 
+  output right now is just returning the input; later label will be returned.
+
+  This is how to call the API from Python: 
+
+  import requests
+
+  response = requests.post("https://gmshroff-gmserver.hf.space/run/predict", json={
+  "data": [
+    "\<put some json string here\>",
+  ]}).json()
+
+  data = response["data"])
+
+  ''')
+
+gradio_interface.launch()
+

test.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 1,
    "metadata": {
     "tags": []
    },
@@ -14,88 +14,6 @@
     "import pandas as pd"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "url='https://gmshroff-gmserver.hf.space/run/predict'\n",
-    "# url='http://127.0.0.1:7860'\n",
-    "hf_token='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'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Loaded as API: https://gmshroff-gmserver.hf.space/run/predict/ ✔\n"
-     ]
-    },
-    {
-     "ename": "ValueError",
-     "evalue": "Could not get Gradio config from: https://gmshroff-gmserver.hf.space/run/predict/",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m/opt/homebrew/Caskroom/miniforge/base/envs/py38algo/lib/python3.8/site-packages/gradio_client/client.py\u001b[0m in \u001b[0;36m_get_config\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    594\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 595\u001b[0;31m                 \u001b[0mconfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mjson\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloads\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroup\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# type: ignore\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    596\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mAttributeError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mae\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'group'",
-      "\nThe above exception was the direct cause of the following exception:\n",
-      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "\u001b[0;32m/var/folders/jz/466kbks91q3glsb0kx0kfwk80000gq/T/ipykernel_75812/2087672778.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mgradio_client\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mClient\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mclient\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mClient\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mclient\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"pwd\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mapi_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"/predict\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/homebrew/Caskroom/miniforge/base/envs/py38algo/lib/python3.8/site-packages/gradio_client/client.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, src, hf_token, max_workers, serialize, output_dir, verbose)\u001b[0m\n\u001b[1;32m    125\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupload_url\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0murllib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0murljoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msrc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mutils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mUPLOAD_URL\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    126\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreset_url\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0murllib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0murljoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msrc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mutils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mRESET_URL\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 127\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_config\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    128\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msession_hash\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0muuid\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0muuid4\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    129\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/homebrew/Caskroom/miniforge/base/envs/py38algo/lib/python3.8/site-packages/gradio_client/client.py\u001b[0m in \u001b[0;36m_get_config\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    595\u001b[0m                 \u001b[0mconfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mjson\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloads\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroup\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# type: ignore\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    596\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mAttributeError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mae\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 597\u001b[0;31m                 raise ValueError(\n\u001b[0m\u001b[1;32m    598\u001b[0m                     \u001b[0;34mf\"Could not get Gradio config from: {self.src}\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    599\u001b[0m                 ) from ae\n",
-      "\u001b[0;31mValueError\u001b[0m: Could not get Gradio config from: https://gmshroff-gmserver.hf.space/run/predict/"
-     ]
-    }
-   ],
-   "source": [
-    "from gradio_client import Client\n",
-    "\n",
-    "client = Client(url)\n",
-    "result = client.predict(\"pwd\",api_name=\"/predict\",hf_token=hf_token)\n",
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "response = requests.post(url,json=json.dumps({\"data\":\"ls\"}),headers={'Content-Type':'application/json'})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "b'{\"detail\":\"Method Not Allowed\"}'"
-      ]
-     },
-     "execution_count": 36,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "response.content"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 3,
@@ -128,11 +46,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 2,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "('./returned_file.txt', <http.client.HTTPMessage at 0x122375df0>)"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "urlretrieve(url='http://127.0.0.1:5000/static/validation_subset_int8.parquet',filename='./validation_subset_int8.parquet')"
+    "urlretrieve(url='http://127.0.0.1:7860/file/update.txt',filename='./returned_file.txt')"
    ]
   },
   {

test_gradio.ipynb

@@ -0,0 +1,169 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "import json\n",
+    "from urllib.request import urlretrieve\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "url='https://gmshroff-gmserver.hf.space/run/predict'\n",
+    "# url='http://127.0.0.1:7860'\n",
+    "hf_token='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'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Loaded as API: https://gmshroff-gmserver.hf.space/run/predict/ ✔\n"
+     ]
+    },
+    {
+     "ename": "ValueError",
+     "evalue": "Could not get Gradio config from: https://gmshroff-gmserver.hf.space/run/predict/",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m/opt/homebrew/Caskroom/miniforge/base/envs/py38algo/lib/python3.8/site-packages/gradio_client/client.py\u001b[0m in \u001b[0;36m_get_config\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    594\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 595\u001b[0;31m                 \u001b[0mconfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mjson\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloads\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroup\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# type: ignore\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    596\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mAttributeError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mae\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'group'",
+      "\nThe above exception was the direct cause of the following exception:\n",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "\u001b[0;32m/var/folders/jz/466kbks91q3glsb0kx0kfwk80000gq/T/ipykernel_75812/2087672778.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mgradio_client\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mClient\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mclient\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mClient\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mclient\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"pwd\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mapi_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"/predict\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/homebrew/Caskroom/miniforge/base/envs/py38algo/lib/python3.8/site-packages/gradio_client/client.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, src, hf_token, max_workers, serialize, output_dir, verbose)\u001b[0m\n\u001b[1;32m    125\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupload_url\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0murllib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0murljoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msrc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mutils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mUPLOAD_URL\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    126\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreset_url\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0murllib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0murljoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msrc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mutils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mRESET_URL\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 127\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_config\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    128\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msession_hash\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0muuid\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0muuid4\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    129\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/homebrew/Caskroom/miniforge/base/envs/py38algo/lib/python3.8/site-packages/gradio_client/client.py\u001b[0m in \u001b[0;36m_get_config\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    595\u001b[0m                 \u001b[0mconfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mjson\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloads\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroup\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# type: ignore\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    596\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mAttributeError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mae\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 597\u001b[0;31m                 raise ValueError(\n\u001b[0m\u001b[1;32m    598\u001b[0m                     \u001b[0;34mf\"Could not get Gradio config from: {self.src}\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    599\u001b[0m                 ) from ae\n",
+      "\u001b[0;31mValueError\u001b[0m: Could not get Gradio config from: https://gmshroff-gmserver.hf.space/run/predict/"
+     ]
+    }
+   ],
+   "source": [
+    "from gradio_client import Client\n",
+    "\n",
+    "client = Client(url)\n",
+    "result = client.predict(\"pwd\",api_name=\"/predict\",hf_token=hf_token)\n",
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "response = requests.post(url,json=json.dumps({\"data\":\"ls\"}),headers={'Content-Type':'application/json'})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "b'{\"detail\":\"Method Not Allowed\"}'"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "response.content"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "headers = {'Content-Type': 'application/json'}\n",
+    "# url='http://127.0.0.1:5000/run'\n",
+    "url='https://huggingface.co/spaces/gmshroff/gmserver'\n",
+    "body={\"script\":\"python update_valdata.py\"}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "response=requests.post(url=url,data=json.dumps(body),headers = {'Content-Type': 'application/json'})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "response.content"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "urlretrieve(url='http://127.0.0.1:5000/static/validation_subset_int8.parquet',filename='./validation_subset_int8.parquet')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df=pd.read_parquet('/tmp/validation_subset_int8.parquet')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.8.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

update_valdata.py

@@ -0,0 +1,34 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# In[ ]:
+
+
+from numerapi import NumerAPI
+import os
+import pandas as pd
+import numpy as np
+
+
+# In[ ]:
+
+
+napi = NumerAPI()
+data_path='./data/'
+
+
+# In[ ]:
+
+
+napi.download_dataset("v4.2/validation_int8.parquet", data_path+"validation_int8.parquet")
+validation_data=pd.read_parquet(data_path+"validation_int8.parquet")
+recent_eras=list(validation_data.loc[validation_data['data_type']=='validation']['era'].unique()[-2:])
+validation_subset=validation_data[validation_data['era'].isin(recent_eras)]
+validation_subset.to_parquet(data_path+"validation_subset_int8.parquet",index=False)
+
+
+# In[ ]:
+
+
+print("Now please copy the file to server via: scp ../../data/validation_subset_int8.parquet gms@gms1:/home/gms/numerai/data/.")
+