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gmserver

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gmshroff commited on Nov 13, 2023

Commit

d74d80d

•

1 Parent(s): 2a798d6

reverting to gradio version

Files changed (8) hide show

.DS_Store CHANGED Viewed

Binary files a/.DS_Store and b/.DS_Store differ

README.md CHANGED Viewed

@@ -12,5 +12,9 @@ license: unknown
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
-Flask server to run on huggingface.
-Just push app.py and requirements.txt to repo and call via REST API

 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Simple example of a gradio UI that calls anvilserver.py running on any
+machine with internet connection. Can be a laptop also.
+Just push app.py and requirements.txt to gradio and
+pip install anvil_uplink on your server (e.g. laptop) machine
+and run anvilserver.py there. The gradio UI calls the server_function
+published within anvilserver.py. This uses anvil as a router.

app.py CHANGED Viewed

@@ -1,32 +1,50 @@
-from flask import Flask,request,render_template
 import os
-app=Flask(__name__)
-MESSAGED={'title':'Script Server',
-          'messageL':['script in "script" parameter or field of json input to /run will be run']}
-@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
-@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)

+import gradio as gr
+from threading import Thread
+import time
+import anvil.server
+from registration import register,get_register,func_reg
+from library import get_file,get_files
 import os
+anvil.server.connect('55MH4EBKM22EP4E6D5T6CVSL-VGO5X4SM6JEXGJVT')
+register(get_file)
+register(get_files)
+# with gr.Blocks() as block:
+#     textbox = gr.inputs.Textbox(label='Function Register')
+#     button = gr.Button(value="Show Function Calls")
+#     button.click(get_register,inputs=None,outputs=[textbox])
+# block.launch()
+import json
+import ast
+def my_inference_function(name):
+#   print(ast.literal_eval(name)['name'])
+    os.system(name+' > ./out.txt')
     with open('./out.txt','r') as f: output=f.read()
     return output
+#  return "Input Data: " + name + ", stay tuned for ML models from this API"
+gradio_interface = gr.Interface(
+  fn=my_inference_function,
+  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()
+# anvil.server.wait_forever()

out.txt CHANGED Viewed

	@@ -1 +1,2 @@
1	- ~~Now~~ ~~please~~ ~~copy~~ ~~the~~ ~~file to server via: scp ../../data/validation_subset_int8.parquet gms@gms1:/home/gms/numerai/data/.~~


1	+ Filesystem 512-blocks Used Available Capacity iused ifree %iused Mounted on
2	+ /dev/disk3s5 1942700360 612016464 1270377600 33% 2983574 6351888000 0% /System/Volumes/Data

requirements.txt CHANGED Viewed

static/dummy.txt DELETED Viewed

	@@ -1 +0,0 @@
1	- dummy file

templates/home.html DELETED Viewed

@@ -1,40 +0,0 @@
-<html>
- <head>
-    <title>gmserver</title>
-    <style>
-    * {
-      box-sizing: border-box;
-    }
-    /* Create two equal columns that floats next to each other */
-    .columnleft {
-      float: left;
-      padding: 10px;
-      width: 15%;
-    }
-    .columncenter {
-      float: left;
-      padding: 10px;
-      width: 80%;
-    }
-    /* Clear floats after the columns */
-    .row:after {
-      content: "";
-      display: table;
-      clear: both;
-    }
-    </style>
- </head>
- <body>
-  <div class="row">
-  <div class="columnleft">
-  <img src="/static/logo.jpeg" width="50px">
-  </div>
-  <div class="columncenter" align="center">
-   <h1>{{messageD['title']}}</h1>
-    {% for message in messageD['messageL']:%}
-     <h4>{{message}}</h4>
-    {% endfor %}
-  </div>
-  </div>
- </body>
-</html>

test.ipynb CHANGED Viewed

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -14,12 +14,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "headers = {'Content-Type': 'application/json'}\n",
-    "url='http://127.0.0.1:5000/run'\n",
     "body={\"script\":\"python update_valdata.py\"}"
    ]
   },

  "cells": [
   {
    "cell_type": "code",
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
   },
   {
    "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\"}"
    ]
   },