Upload folder using huggingface_hub

README.md

@@ -1,12 +1,12 @@
+
 ---
-title: Slider Release 3-x
-emoji: 📚
-colorFrom: purple
-colorTo: green
+title: slider_release_3-x 
+emoji: 🔥
+colorFrom: indigo
+colorTo: indigo
 sdk: gradio
-sdk_version: 4.3.0
-app_file: app.py
+sdk_version: 3.50.1
+app_file: run.py
 pinned: false
+hf_oauth: true
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

config.json

@@ -0,0 +1,206 @@
+{
+  "version": "3.30.0\n",
+  "mode": "blocks",
+  "dev_mode": true,
+  "analytics_enabled": true,
+  "components": [
+    {
+      "id": 1,
+      "type": "slider",
+      "props": {
+        "minimum": 0,
+        "maximum": 100,
+        "step": 0.1,
+        "value": 0,
+        "show_label": true,
+        "name": "slider",
+        "visible": true,
+        "style": {}
+      },
+      "serializer": "NumberSerializable",
+      "api_info": {
+        "info": {
+          "type": "number",
+          "description": "numeric value between 0 and 100"
+        },
+        "serialized_info": false
+      },
+      "example_inputs": {
+        "raw": 0,
+        "serialized": 0
+      }
+    },
+    {
+      "id": 2,
+      "type": "state",
+      "props": {
+        "show_label": true,
+        "name": "state",
+        "visible": true,
+        "style": {}
+      },
+      "serializer": "SimpleSerializable",
+      "api_info": {
+        "info": {
+          "type": {},
+          "description": "any valid value"
+        },
+        "serialized_info": false
+      },
+      "example_inputs": {
+        "raw": null,
+        "serialized": null
+      }
+    },
+    {
+      "id": 3,
+      "type": "row",
+      "props": {
+        "type": "row",
+        "variant": "default",
+        "visible": true,
+        "style": {}
+      }
+    },
+    {
+      "id": 4,
+      "type": "number",
+      "props": {
+        "label": "On release",
+        "show_label": true,
+        "name": "number",
+        "visible": true,
+        "style": {}
+      },
+      "serializer": "NumberSerializable",
+      "api_info": {
+        "info": {
+          "type": "number"
+        },
+        "serialized_info": false
+      },
+      "example_inputs": {
+        "raw": 5,
+        "serialized": 5
+      }
+    },
+    {
+      "id": 5,
+      "type": "number",
+      "props": {
+        "label": "Number of events fired",
+        "show_label": true,
+        "name": "number",
+        "visible": true,
+        "style": {}
+      },
+      "serializer": "NumberSerializable",
+      "api_info": {
+        "info": {
+          "type": "number"
+        },
+        "serialized_info": false
+      },
+      "example_inputs": {
+        "raw": 5,
+        "serialized": 5
+      }
+    },
+    {
+      "id": 6,
+      "type": "form",
+      "props": {
+        "type": "form",
+        "visible": true,
+        "style": {}
+      }
+    },
+    {
+      "id": 7,
+      "type": "form",
+      "props": {
+        "type": "form",
+        "visible": true,
+        "style": {}
+      }
+    }
+  ],
+  "css": null,
+  "title": "Gradio",
+  "is_space": false,
+  "enable_queue": null,
+  "show_error": true,
+  "show_api": true,
+  "is_colab": false,
+  "stylesheets": [
+    "https://fonts.googleapis.com/css2?family=Source+Sans+Pro:wght@400;600&display=swap",
+    "https://fonts.googleapis.com/css2?family=IBM+Plex+Mono:wght@400;600&display=swap"
+  ],
+  "theme": "default",
+  "layout": {
+    "id": 0,
+    "children": [
+      {
+        "id": 7,
+        "children": [
+          {
+            "id": 1
+          }
+        ]
+      },
+      {
+        "id": 2
+      },
+      {
+        "id": 3,
+        "children": [
+          {
+            "id": 6,
+            "children": [
+              {
+                "id": 4
+              },
+              {
+                "id": 5
+              }
+            ]
+          }
+        ]
+      }
+    ]
+  },
+  "dependencies": [
+    {
+      "targets": [
+        1
+      ],
+      "trigger": "release",
+      "inputs": [
+        1,
+        2
+      ],
+      "outputs": [
+        4,
+        2,
+        5
+      ],
+      "backend_fn": true,
+      "js": null,
+      "queue": null,
+      "api_name": "predict",
+      "scroll_to_output": false,
+      "show_progress": true,
+      "every": null,
+      "batch": false,
+      "max_batch_size": 4,
+      "cancels": [],
+      "types": {
+        "continuous": false,
+        "generator": false
+      },
+      "collects_event_data": false,
+      "trigger_after": null,
+      "trigger_only_on_success": false
+    }
+  ]
+}

run.ipynb

@@ -0,0 +1 @@
+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: slider_release"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "\n", "def identity(x, state):\n", "    state += 1\n", "    return x, state, state\n", "\n", "\n", "with gr.Blocks() as demo:\n", "    slider = gr.Slider(0, 100, step=0.1)\n", "    state = gr.State(value=0)\n", "    with gr.Row():\n", "        number = gr.Number(label=\"On release\")\n", "        number2 = gr.Number(label=\"Number of events fired\")\n", "    slider.release(identity, inputs=[slider, state], outputs=[number, state, number2], api_name=\"predict\")\n", "\n", "if __name__ == \"__main__\":\n", "    print(\"here\")\n", "    demo.launch()\n", "    print(demo.server_port)\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -0,0 +1,20 @@
+import gradio as gr
+
+
+def identity(x, state):
+    state += 1
+    return x, state, state
+
+
+with gr.Blocks() as demo:
+    slider = gr.Slider(0, 100, step=0.1)
+    state = gr.State(value=0)
+    with gr.Row():
+        number = gr.Number(label="On release")
+        number2 = gr.Number(label="Number of events fired")
+    slider.release(identity, inputs=[slider, state], outputs=[number, state, number2], api_name="predict")
+
+if __name__ == "__main__":
+    print("here")
+    demo.launch()
+    print(demo.server_port)