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Runtime error
Runtime error
tonic
commited on
Commit
•
3f36ef5
1
Parent(s):
3b901a6
bug fixes
Browse files
.env
CHANGED
@@ -1,2 +1,2 @@
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CO_API_KEY=KQBPf0H0ENZESIC5nuUJ4i4jjg34xMPAkYK7s31W
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SEAMLESSM4T=
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CO_API_KEY=KQBPf0H0ENZESIC5nuUJ4i4jjg34xMPAkYK7s31W
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SEAMLESSM4T=facebook/seamless-m4t-v2-large
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app.py
CHANGED
@@ -278,6 +278,7 @@ inputs = [
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outputs = [
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RichTextbox(label="Processed Text"),
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gr.Textbox(label="Focus 1"),
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gr.Textbox(label="Translated Phrases 1"),
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gr.Audio(label="Audio Output (Native Language) 1"),
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@@ -292,9 +293,9 @@ outputs = [
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gr.Audio(label="Audio Output (Target Language) 3")
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]
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def update_outputs(inputlanguage, target_language, audio, image, text, file):
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final_text, top_phrases, translations, audio_outputs = process_input(
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)
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processed_text_output = final_text
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audio_output_native_phrases = [native for _, native in audio_outputs]
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@@ -306,7 +307,8 @@ def update_outputs(inputlanguage, target_language, audio, image, text, file):
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audio_outputs_target = audio_output_target_phrases[:3]
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return (
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processed_text_output,
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*audio_outputs_native,
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*audio_outputs_target,
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*longest_phrases_outputs,
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@@ -320,77 +322,4 @@ def interface_func(inputlanguage, target_language, audio, image, text, file):
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iface = gr.Interface(fn=interface_func, inputs=inputs, outputs=outputs, title=title, description=description)
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if __name__ == "__main__":
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iface.launch()
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# def main():
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# with gr.Blocks() as demo:
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# gr.Markdown(title)
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# gr.Markdown(description)
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# with gr.Row():
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# input_language = gr.Dropdown(choices=choices, label="Your Native Language")
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# target_language = gr.Dropdown(choices=choices, label="Language To Learn")
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# with gr.Accordion("Talk To 🌟AyaTonic"):
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# with gr.Tab("🤙🏻Audio & Text"):
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# audio_input = gr.Audio(sources="microphone", type="filepath", label="Mic Input")
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# text_input = gr.Textbox(lines=2, label="Text Input")
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# with gr.Tab("📸Image & File"):
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# image_input = gr.Image(type="pil", label="Camera Input")
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# file_input = gr.File(label="File Upload")
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# process_button = gr.Button("🌟AyaTonic")
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# processed_text_output = RichTextbox(label="Processed Text")
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# longest_phrases_1 = gr.Textbox(label="Focus")
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# translated_phrases_output_1 = gr.Textbox(label="Translated Phrases")
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# audio_output_native_phrase_1 = gr.Audio(label="Audio Output (Native Language)")
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# audio_output_target_phrase_1 = gr.Audio(label="Audio Output (Target Language)")
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# longest_phrases_2 = gr.Textbox(label="Focus")
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# translated_phrases_output_2 = gr.Textbox(label="Translated Phrases")
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# audio_output_native_phrase_2 = gr.Audio(label="Audio Output (Native Language)")
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# audio_output_target_phrase_2 = gr.Audio(label="Audio Output (Target Language)")
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# longest_phrases_3 = gr.Textbox(label="Focus")
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# translated_phrases_output_3 = gr.Textbox(label="Translated Phrases")
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# audio_output_native_phrase_3 = gr.Audio(label="Audio Output (Native Language)")
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# audio_output_target_phrase_3 = gr.Audio(label="Audio Output (Target Language)")
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# def update_outputs(image, file, audio, text, input_language, target_language):
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# final_text, top_phrases, translations, audio_outputs = process_input(
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# image=image, file=file, audio=audio, text=text,
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# translatefrom=input_language, translateto=target_language
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# )
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# processed_text_output = final_text
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# audio_output_native_phrases = [native for _, native in audio_outputs]
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# audio_output_target_phrases = [target for target, _ in audio_outputs]
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# longest_phrases_outputs = top_phrases[:3]
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# translated_phrases_outputs = translations[:3]
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# audio_outputs_native = audio_output_native_phrases[:3]
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# audio_outputs_target = audio_output_target_phrases[:3]
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# return (
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# processed_text_output,
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# *audio_outputs_native,
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# *audio_outputs_target,
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# *longest_phrases_outputs,
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# *translated_phrases_outputs
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# )
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# process_button.click(
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# fn=update_outputs,
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# inputs=[image_input, file_input, audio_input, text_input, input_language, target_language],
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# outputs=[
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# processed_text_output,
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# audio_output_native_phrase_1, audio_output_target_phrase_1,
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# audio_output_native_phrase_2, audio_output_target_phrase_2,
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# audio_output_native_phrase_3, audio_output_target_phrase_3,
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# longest_phrases_1, translated_phrases_output_1,
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# longest_phrases_2, translated_phrases_output_2,
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# longest_phrases_3, translated_phrases_output_3
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# ]
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# )
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# if __name__ == "__main__":
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# main()
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outputs = [
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RichTextbox(label="Processed Text"),
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gr.Audio(label="Audio"),
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gr.Textbox(label="Focus 1"),
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gr.Textbox(label="Translated Phrases 1"),
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gr.Audio(label="Audio Output (Native Language) 1"),
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gr.Audio(label="Audio Output (Target Language) 3")
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]
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def update_outputs(inputlanguage, target_language, audio, image, text, file):
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final_text, audio_output, top_phrases, translations, audio_outputs = process_input(
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image=image, file=file, audio=audio, text=text,
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translateto=target_language, translatefrom=inputlanguage
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)
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processed_text_output = final_text
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audio_output_native_phrases = [native for _, native in audio_outputs]
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audio_outputs_target = audio_output_target_phrases[:3]
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return (
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processed_text_output,
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audio_output,
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*audio_outputs_native,
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*audio_outputs_target,
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*longest_phrases_outputs,
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iface = gr.Interface(fn=interface_func, inputs=inputs, outputs=outputs, title=title, description=description)
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if __name__ == "__main__":
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iface.launch()
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