Update app.py

Change to gradio Interface to show API.

app.py

@@ -111,57 +111,10 @@ def show_history(cache):
     return gr.Textbox.update(value=history, visible=True)
 
 
-# Build Gradio interface
-with gr.Blocks() as demo:
-    # Instruction
-    gr.Markdown(
-    '''
-    # Positive Reframing
-    **Start inputing negative texts to see how you can see the same event from a positive angle.**
-    ''')
-
-    # Input text to be reframed
-    text = gr.Textbox(label="Original Text")
-
-    # Input strategy for the reframing
-    gr.Markdown(
-    '''
-    **Choose one of the six strategies to carry out reframing:** \n
-    **Growth Mindset:** Viewing a challenging event as an opportunity for the author specifically to grow or improve themselves. \n
-    **Impermanence:** Saying bad things don’t last forever, will get better soon, and/or that others have experienced similar struggles. \n 
-    **Neutralizing:** Replacing a negative word with a neutral word. For example, “This was a terrible day” becomes “This was a long day.” \n 
-    **Optimism:** Focusing on things about the situation itself, in that moment, that are good (not just forecasting a better future). \n 
-    **Self-affirmation:** Talking about what strengths the author already has, or the values they admire, like love, courage, perseverance, etc. \n 
-    **Thankfulness:** Expressing thankfulness or gratitude with key words like appreciate, glad that, thankful for, good thing, etc.
-    ''')
-    strategy = gr.Radio(
-        ["thankfulness", "neutralizing", "optimism", "growth", "impermanence", "self_affirmation"], label="Strategy to use?"
-    )
-
-    # Trigger button for reframing
-    greet_btn = gr.Button("Reframe")
-    best_output = gr.HighlightedText(
-        label="Diff",
-        combine_adjacent=True,
-        ).style(color_map={"+": "green", "-": "red"})
-    greet_btn.click(fn=show_reframe_change, inputs=[text, strategy], outputs=best_output)
-
-    # Trigger button for showing n best reframings
-    greet_btn = gr.Button("Show Best {n} Results".format(n=BEST_N))
-    n_best_output = gr.Textbox(interactive=False)
-    greet_btn.click(fn=show_n_best_decodes, inputs=[text, strategy], outputs=n_best_output)
-
-    # Default examples of text and strategy pairs for user to have a quick start
-    gr.Markdown("## Examples")
-    gr.Examples(
-        [["I have a lot of homework to do today.", "self_affirmation"], ["So stressed about the midterm next week.", "optimism"], ["I failed my math quiz I am such a loser.", "growth"]], 
-        [text, strategy], best_output, show_reframe_change, cache_examples=False, run_on_click=False
-    )
-
-    # Link to paper and Github repo
-    gr.Markdown(
-    '''
-    For more details: You can read our [paper](https://arxiv.org/abs/2204.02952) or access our [code](https://github.com/SALT-NLP/positive-frames).
-    ''')
 
+demo = gr.Interface(
+    fn=show_reframe_change,
+    inputs=[gr.Textbox(lines=2, placeholder="Please input the sentence to be reframed.", label="Original Text"), gr.Radio(["thankfulness", "neutralizing", "optimism", "growth", "impermanence", "self_affirmation"], label="Strategy to use?")],
+    outputs=gr.HighlightedText(label="Diff",combine_adjacent=True,).style(color_map={"+": "green", "-": "red"}),
+)
 demo.launch(show_api=True)