blocks test

app.py

@@ -40,24 +40,59 @@ def translate(text, src_lang, tgt_lang, candidates:int):
 
     return output
 
-app = gr.Interface(
-    fn=translate,
-    inputs=[
-        gr.components.Textbox(label="Text"),
-        gr.components.Dropdown(label="Source Language", choices=list(LANG_CODES.keys())),
-        gr.components.Dropdown(label="Target Language", choices=list(LANG_CODES.keys())),
-        gr.Slider(label="Number of return sequences", value=3, minimum=1, maximum=12, step=1)
-    ],
-    outputs=["text"],
-    examples=[
-        ["Welcome to my translation app.", "English", "toki pona", 3],
-        ["Its not always perfect, but its pretty okay!", "English", "toki pona", 3],
-        ["ilo pi ante toki ni li pona a!", "toki pona", "English", 3],
-        ["kijetesantakalu li pona", "toki pona", "English", 3],
-        ["mi li toki e toki pona", "toki pona", "toki pona", 3]
-    ],
-    cache_examples=False,
-    article="""
+# app = gr.Interface(
+#     fn=translate,
+#     inputs=[
+#         gr.components.Textbox(label="Text"),
+#         gr.components.Dropdown(label="Source Language", choices=list(LANG_CODES.keys())),
+#         gr.components.Dropdown(label="Target Language", choices=list(LANG_CODES.keys())),
+#         gr.Slider(label="Number of return sequences", value=3, minimum=1, maximum=12, step=1)
+#     ],
+#     outputs=["text"],
+#     examples=[
+#         ["Welcome to my translation app.", "English", "toki pona", 3],
+#         ["Its not always perfect, but its pretty okay!", "English", "toki pona", 3],
+#         ["ilo pi ante toki ni li pona a!", "toki pona", "English", 3],
+#         ["kijetesantakalu li pona", "toki pona", "English", 3],
+#         ["mi li toki e toki pona", "toki pona", "toki pona", 3]
+#     ],
+#     cache_examples=False,
+#     article="""
+#     # A simple English / toki pona Neural Machine Translation App!
+    
+#     ### toki a! 💬
+
+#     This is a simple english to toki pona / toki pona to english neural machine translation app.
+
+#     Input your text to translate, a source language and target language, and desired number of return sequences! 
+
+#     ### Grammaticality / Regularization
+#     English -> English and/or toki pona -> toki pona will result in some form of regularization. 
+    
+#     This can approximate grammaticality, but it isn't always the best.
+    
+#     For example, "mi li toki e toki pona" [src: toki pona, tgt: toki pona] will result in ['mi toki e toki pona.', 'mi toki pona.', 'mi toki e toki pona']
+#     (Thus, the ungrammatical "li" is dropped)
+
+#     ### Model and Data
+#     This app utilizes a fine-tuned version of Facebook/Meta AI's M2M100 418M param model. 
+    
+#     By leveraging the pretrained weights of the massively multilingual M2M100 model, 
+#     we can jumpstart our transfer learning to accomplish machine translation for toki pona!
+    
+#     The model was fine-tuned on the English/toki pona bitexts found at https://tatoeba.org/
+    
+#     ### This app is a work in progress and obviously not all translations will be perfect. 
+#     In addition to parameter quantity and the hyper-parameters used while training, 
+#     the *quality of data* found on Tatoeba directly influences the perfomance of projects like this! 
+
+#     If you wish to contribute, please simply add high quality and diverse translations to Tatoeba!
+#     """,
+#     title="English / toki pona Translation"
+# )
+
+with gr.Blocks() as app:
+    gr.Markdown("""
     # A simple English / toki pona Neural Machine Translation App!
     
     ### toki a! 💬
@@ -87,8 +122,16 @@ app = gr.Interface(
     the *quality of data* found on Tatoeba directly influences the perfomance of projects like this! 
 
     If you wish to contribute, please simply add high quality and diverse translations to Tatoeba!
-    """,
-    title="English / toki pona Translation"
-)
+    """
+    )
+    inputs=[
+        gr.components.Textbox(label="Text"),
+        gr.components.Dropdown(label="Source Language", choices=list(LANG_CODES.keys())),
+        gr.components.Dropdown(label="Target Language", choices=list(LANG_CODES.keys())),
+        gr.Slider(label="Number of return sequences", value=3, minimum=1, maximum=12, step=1)
+    ]
+
+    translate_btn = gr.Button("Translate! | o ante toki!")
+    translate_btn.click(translate, inputs=inputs, outputs=["text"])
 
 app.launch()