update app

.github/workflows/run.yaml

@@ -1,37 +1,20 @@
-name: Deploy to huggingface
-
+name: Sync to Hugging Face hub
 on:
   push:
     branches: [main]
 
+  # to run this workflow manually from the Actions tab
+  workflow_dispatch:
+
 jobs:
-  deploy:
+  sync-to-hub:
     runs-on: ubuntu-latest
     steps:
-      - uses: backendcloud/hugging-push@v0.2.3
+      - uses: actions/checkout@v3
         with:
-          # The Hugging Face repo id you want to sync to.
-          # A repo with this name will be created if it doesn't exist. Required.
-          # The github username is not included. ex: not like this 'username/reponame', but like this: 'reponame'
-          # the key of huggingface_repo can be omitted. If the key is commented out, it defaults to the same name as the Github repository. 
-          # huggingface_repo: 'ChatGPT'
-
-          # Hugging Face token with write access. Required.
-          # Here, we provide a token that we called `HF_TOKEN` when we added the secret to our GitHub repo.
-          hf_token: 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
-
-          # The type of repo you are syncing to: model, dataset, or space.
-          # Defaults to space.
-          repo_type: 'space'
-  
-          # If true and the Hugging Face repo doesn't already exist, it will be created
-          # as a private repo.
-          #
-          # Note: this param has no effect if the repo already exists.
-          private: false
-
-          # If repo type is space, specify a space_sdk. One of: streamlit, gradio, or static
-          #
-          # This option is especially important if the repo has not been created yet.
-          # It won't really be used if the repo already exists.
-          space_sdk: 'gradio'
+          fetch-depth: 0
+          lfs: true
+      - name: Push to hub
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}
+        run: git push https://MakiAi:[email protected]/spaces/MakiAi/Github-Actions-DEMO main

app.py

@@ -0,0 +1,7 @@
+import gradio as gr
+
+def greet(name):
+    return "Hello " + name + "!!"
+
+iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface.launch()