gradio_nlp_berta_masked_example: first commit

.gitignore

@@ -0,0 +1,2 @@
+__pycache__/
+.DS_Store

README.md

@@ -1,5 +1,5 @@
 ---
-title: Gradio Nlp Berta Masked Example
+title: Gradio NLP - Berta Masked Example
 emoji: 💻
 colorFrom: yellow
 colorTo: red
@@ -9,4 +9,21 @@ app_file: app.py
 pinned: false
 ---
 
+
+
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+```sh git commands
+git clone https://huggingface.co/spaces/nurasaki/gradio_nlp_berta_masked_example
+echo __pycache__/ > .gitignore\n
+git status
+git add .
+git commit -am "gradio_nlp_berta_masked_example: first commit"
+git push
+
+git remote add gh_repo [email protected]:nurasaki/gradio_nlp_berta_masked_example.git
+git push gh_repo main
+```
+
+
+

app.py

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+import gradio as gr
+import os
+
+# save your HF API token from https:/hf.co/settings/tokens as an env variable to avoid rate limiting
+auth_token = os.getenv("auth_token")
+
+
+
+
+print("========================================================================")
+print("Starting ... gradio_demo_nlp_autocomplete/app.py")
+print("AUTH TOKEN:", auth_token)
+
+
+# load a model from https://hf.co/models as an interface, then use it as an api 
+# you can remove the api_key parameter if you don't care about rate limiting. 
+api = gr.Interface.load("huggingface/projecte-aina/roberta-base-ca-v2", api_key=auth_token,)
+
+
+
+
+
+
+def complete_with_gpt(text):
+
+    print("------------------------------------------------------------------------")
+    print("type(api):", type(api) )
+    print("Api:", api, "\n" )
+
+
+
+    print("------------------------------------------------------------------------")
+    print("text:")
+    print(text)
+    print("------------------------------------------------------------------------")
+    print("text[:-50]:")
+    print(text[:-50])
+    print("------------------------------------------------------------------------")
+    print("api(text):")
+    print(api(text))
+    print("------------------------------------------------------------------------")
+    print("text[-50:]:")
+    print(text[-50:])
+    print("------------------------------------------------------------------------")
+    print("api(text[-50:]")
+    print(api(text[-50:]))
+    print("------------------------------------------------------------------------")
+    
+
+    return text[:-50] + api(text[-50:])
+
+
+with gr.Blocks() as demo:
+    
+    print("------------------------------------------------------------------------")
+    print("with gr.Blocks")
+
+    textbox = gr.Textbox(placeholder="Type here...", lines=4)
+    btn = gr.Button("Autocomplete")
+    
+    print("textbox:", textbox)
+
+    # define what will run when the button is clicked, here the textbox is used as both an input and an output
+    btn.click(fn=complete_with_gpt, inputs=textbox, outputs=textbox, queue=False)
+
+demo.launch(favicon_path="favicon.png")
+
+
+# /Users/nurasaki/miniforge3/envs/conda_tfg_clone/lib/python3.8/site-packages/gradio/interface.py:93: 
+# UserWarning: gr.Intrerface.load() will be deprecated. Use gr.load() instead.
+# warnings.warn("gr.Intrerface.load() will be deprecated. Use gr.load() instead.")