refactor gradio interface iface()

app.py

@@ -248,75 +248,130 @@ def process_input(image=None, file=None, audio=None, text="", translateto = "Eng
 
     return final_text, audio_output, top_phrases, translations, audio_outputs
 
-def main():
-    with gr.Blocks() as demo:
-        gr.Markdown(title)
-        gr.Markdown(description)
+
+# Define the inputs and outputs for the Gradio Interface
+inputs = [
+    gr.inputs.Image(type="pil", label="Camera Input"),
+    gr.inputs.File(label="File Upload"),
+    gr.inputs.Audio(sources="microphone", type="filepath", label="Mic Input"),
+    gr.inputs.Textbox(lines=2, label="Text Input"),
+    gr.inputs.Dropdown(choices=choices, label="Your Native Language"),
+    gr.inputs.Dropdown(choices=choices, label="Language To Learn")
+]
+
+outputs = [
+    RichTextbox(label="Processed Text"),
+    gr.outputs.Audio(label="Audio Output (Native Language) 1"),
+    gr.outputs.Audio(label="Audio Output (Target Language) 1"),
+    gr.outputs.Audio(label="Audio Output (Native Language) 2"),
+    gr.outputs.Audio(label="Audio Output (Target Language) 2"),
+    gr.outputs.Audio(label="Audio Output (Native Language) 3"),
+    gr.outputs.Audio(label="Audio Output (Target Language) 3"),
+    gr.outputs.Textbox(label="Focus 1"),
+    gr.outputs.Textbox(label="Translated Phrases 1"),
+    gr.outputs.Textbox(label="Focus 2"),
+    gr.outputs.Textbox(label="Translated Phrases 2"),
+    gr.outputs.Textbox(label="Focus 3"),
+    gr.outputs.Textbox(label="Translated Phrases 3")
+]
+def update_outputs(image, file, audio, text, input_language, target_language):
+    final_text, top_phrases, translations, audio_outputs = process_input(
+    image=image, file=file, audio=audio, text=text, 
+    translatefrom=input_language, translateto=target_language
+    )
+
+    processed_text_output = final_text
+    audio_output_native_phrases = [native for _, native in audio_outputs]
+    audio_output_target_phrases = [target for target, _ in audio_outputs]
+
+    longest_phrases_outputs = top_phrases[:3]
+    translated_phrases_outputs = translations[:3]
+    audio_outputs_native = audio_output_native_phrases[:3]
+    audio_outputs_target = audio_output_target_phrases[:3]
+
+    return (
+        processed_text_output, 
+        *audio_outputs_native, 
+        *audio_outputs_target, 
+        *longest_phrases_outputs, 
+        *translated_phrases_outputs
+    )
+
+# Create the Gradio interface
+iface = gr.Interface(fn=interface_func, inputs=inputs, outputs=outputs, title=title, description=description)
+
+if __name__ == "__main__":
+    iface.launch()
+
+# def main():
+#     with gr.Blocks() as demo:
+#         gr.Markdown(title)
+#         gr.Markdown(description)
         
-        with gr.Row():
-            input_language = gr.Dropdown(choices=choices, label="Your Native Language")
-            target_language = gr.Dropdown(choices=choices, label="Language To Learn")
+#         with gr.Row():
+#             input_language = gr.Dropdown(choices=choices, label="Your Native Language")
+#             target_language = gr.Dropdown(choices=choices, label="Language To Learn")
         
-        with gr.Accordion("Talk To 🌟AyaTonic"):
-            with gr.Tab("🤙🏻Audio & Text"):
-                audio_input = gr.Audio(sources="microphone", type="filepath", label="Mic Input")
-                text_input = gr.Textbox(lines=2, label="Text Input")
-            with gr.Tab("📸Image & File"):
-                image_input = gr.Image(type="pil", label="Camera Input")
-                file_input = gr.File(label="File Upload")
+#         with gr.Accordion("Talk To 🌟AyaTonic"):
+#             with gr.Tab("🤙🏻Audio & Text"):
+#                 audio_input = gr.Audio(sources="microphone", type="filepath", label="Mic Input")
+#                 text_input = gr.Textbox(lines=2, label="Text Input")
+#             with gr.Tab("📸Image & File"):
+#                 image_input = gr.Image(type="pil", label="Camera Input")
+#                 file_input = gr.File(label="File Upload")
         
-        process_button = gr.Button("🌟AyaTonic")
+#         process_button = gr.Button("🌟AyaTonic")
         
-        processed_text_output = RichTextbox(label="Processed Text")
-        longest_phrases_1 = gr.Textbox(label="Focus")
-        translated_phrases_output_1 = gr.Textbox(label="Translated Phrases")
-        audio_output_native_phrase_1 = gr.Audio(label="Audio Output (Native Language)")
-        audio_output_target_phrase_1 = gr.Audio(label="Audio Output (Target Language)")
-        longest_phrases_2 = gr.Textbox(label="Focus")
-        translated_phrases_output_2 = gr.Textbox(label="Translated Phrases")
-        audio_output_native_phrase_2 = gr.Audio(label="Audio Output (Native Language)")
-        audio_output_target_phrase_2 = gr.Audio(label="Audio Output (Target Language)")
-        longest_phrases_3 = gr.Textbox(label="Focus")
-        translated_phrases_output_3 = gr.Textbox(label="Translated Phrases")
-        audio_output_native_phrase_3 = gr.Audio(label="Audio Output (Native Language)")
-        audio_output_target_phrase_3 = gr.Audio(label="Audio Output (Target Language)")
+#         processed_text_output = RichTextbox(label="Processed Text")
+#         longest_phrases_1 = gr.Textbox(label="Focus")
+#         translated_phrases_output_1 = gr.Textbox(label="Translated Phrases")
+#         audio_output_native_phrase_1 = gr.Audio(label="Audio Output (Native Language)")
+#         audio_output_target_phrase_1 = gr.Audio(label="Audio Output (Target Language)")
+#         longest_phrases_2 = gr.Textbox(label="Focus")
+#         translated_phrases_output_2 = gr.Textbox(label="Translated Phrases")
+#         audio_output_native_phrase_2 = gr.Audio(label="Audio Output (Native Language)")
+#         audio_output_target_phrase_2 = gr.Audio(label="Audio Output (Target Language)")
+#         longest_phrases_3 = gr.Textbox(label="Focus")
+#         translated_phrases_output_3 = gr.Textbox(label="Translated Phrases")
+#         audio_output_native_phrase_3 = gr.Audio(label="Audio Output (Native Language)")
+#         audio_output_target_phrase_3 = gr.Audio(label="Audio Output (Target Language)")
         
-        def update_outputs(image, file, audio, text, input_language, target_language):
-            final_text, top_phrases, translations, audio_outputs = process_input(
-                image=image, file=file, audio=audio, text=text, 
-                translatefrom=input_language, translateto=target_language
-            )
-
-            processed_text_output = final_text
-            audio_output_native_phrases = [native for _, native in audio_outputs]
-            audio_output_target_phrases = [target for target, _ in audio_outputs]
-
-            longest_phrases_outputs = top_phrases[:3]
-            translated_phrases_outputs = translations[:3]
-            audio_outputs_native = audio_output_native_phrases[:3]
-            audio_outputs_target = audio_output_target_phrases[:3]
-
-            return (
-                processed_text_output, 
-                *audio_outputs_native, 
-                *audio_outputs_target, 
-                *longest_phrases_outputs, 
-                *translated_phrases_outputs
-            )
+#         def update_outputs(image, file, audio, text, input_language, target_language):
+#             final_text, top_phrases, translations, audio_outputs = process_input(
+#                 image=image, file=file, audio=audio, text=text, 
+#                 translatefrom=input_language, translateto=target_language
+#             )
+
+#             processed_text_output = final_text
+#             audio_output_native_phrases = [native for _, native in audio_outputs]
+#             audio_output_target_phrases = [target for target, _ in audio_outputs]
+
+#             longest_phrases_outputs = top_phrases[:3]
+#             translated_phrases_outputs = translations[:3]
+#             audio_outputs_native = audio_output_native_phrases[:3]
+#             audio_outputs_target = audio_output_target_phrases[:3]
+
+#             return (
+#                 processed_text_output, 
+#                 *audio_outputs_native, 
+#                 *audio_outputs_target, 
+#                 *longest_phrases_outputs, 
+#                 *translated_phrases_outputs
+#             )
        
-        process_button.click(
-            fn=update_outputs,
-            inputs=[image_input, file_input, audio_input, text_input, input_language, target_language],
-            outputs=[
-                processed_text_output, 
-                audio_output_native_phrase_1, audio_output_target_phrase_1, 
-                audio_output_native_phrase_2, audio_output_target_phrase_2, 
-                audio_output_native_phrase_3, audio_output_target_phrase_3, 
-                longest_phrases_1, translated_phrases_output_1, 
-                longest_phrases_2, translated_phrases_output_2, 
-                longest_phrases_3, translated_phrases_output_3
-            ]
-        )
+#         process_button.click(
+#             fn=update_outputs,
+#             inputs=[image_input, file_input, audio_input, text_input, input_language, target_language],
+#             outputs=[
+#                 processed_text_output, 
+#                 audio_output_native_phrase_1, audio_output_target_phrase_1, 
+#                 audio_output_native_phrase_2, audio_output_target_phrase_2, 
+#                 audio_output_native_phrase_3, audio_output_target_phrase_3, 
+#                 longest_phrases_1, translated_phrases_output_1, 
+#                 longest_phrases_2, translated_phrases_output_2, 
+#                 longest_phrases_3, translated_phrases_output_3
+#             ]
+#         )
 
-if __name__ == "__main__":
-    main()
+# if __name__ == "__main__":
+#     main()