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update
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app.py
CHANGED
@@ -41,14 +41,16 @@ print(f"Languages for Coqui are: {LANGUAGES}")
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# Driver function
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def driver_fun(audio) :
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translation, lang = whisper_stt(audio) # older : transcribe, translation, lang
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random_val = random.randrange(0,231657)
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if random_val < 226657:
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lower_limit = random_val
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upper_limit = random_val +
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else:
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lower_limit = random_val -
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upper_limit = random_val
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print(f"lower_limit : upper_limit = {lower_limit} : {upper_limit}")
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dataset_subset = filtered_dataset['Joke'][lower_limit : upper_limit]
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@@ -126,7 +128,7 @@ with demo:
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b1.click(driver_fun,inputs=[in_audio], outputs=[out_transcript, out_generated_joke, out_audio]) #out_translation_en, out_generated_text,out_generated_text_en,
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with gr.Row():
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gr.Markdown(
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"""Model pipeline consisting of - <br>- [**Whisper**](https://github.com/openai/whisper) for Speech-to-text, <br>- [**CoquiTTS**](https://huggingface.co/coqui) for Text-To-Speech.<br>- [Sentence Transformers](https://huggingface.co/models?library=sentence-transformers&sort=downloads)<br>- Front end is built using [**Gradio Block API**](https://gradio.app/docs/#blocks).<br><be>If you want to reuse the App, simply click on the small cross button in the top right corner of your voice record panel, and then press record again! <br><br> Few Caveats:<br>1. Please note that sometimes the joke might be NSFW. Although, I have tried putting in filters to not have that experience, but they seem non-exhaustive.<br>2. Sometimes the joke might not match your theme, please bear with the limited capabilities of free open-source ML prototypes.<br>3. Much like real life, sometimes the joke might just not land, haha!<br>4. If you see the message 'Error in model inference - Run Again Please', just press the button again!
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""")
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demo.launch(enable_queue=True, debug=True)
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# Driver function
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def driver_fun(audio) :
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#if audio is None:
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translation, lang = whisper_stt(audio) # older : transcribe, translation, lang
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random_val = random.randrange(0,231657)
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if random_val < 226657:
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lower_limit = random_val
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upper_limit = random_val + 4000
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else:
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lower_limit = random_val - 4000
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upper_limit = random_val
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print(f"lower_limit : upper_limit = {lower_limit} : {upper_limit}")
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dataset_subset = filtered_dataset['Joke'][lower_limit : upper_limit]
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b1.click(driver_fun,inputs=[in_audio], outputs=[out_transcript, out_generated_joke, out_audio]) #out_translation_en, out_generated_text,out_generated_text_en,
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with gr.Row():
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gr.Markdown(
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"""Model pipeline consisting of - <br>- [**Whisper**](https://github.com/openai/whisper) for Speech-to-text, <br>- [**CoquiTTS**](https://huggingface.co/coqui) for Text-To-Speech.<br>- [Sentence Transformers](https://huggingface.co/models?library=sentence-transformers&sort=downloads)<br>- Front end is built using [**Gradio Block API**](https://gradio.app/docs/#blocks).<br><be>If you want to reuse the App, simply click on the small cross button in the top right corner of your voice record panel, and then press record again! <br><br> Few Caveats:<br>1. Please note that sometimes the joke might be NSFW. Although, I have tried putting in filters to not have that experience, but they seem non-exhaustive.<br>2. Sometimes the joke might not match your theme, please bear with the limited capabilities of free open-source ML prototypes.<br>3. Much like real life, sometimes the joke might just not land, haha!<br>4. If you see the message 'Error in model inference - Run Again Please', just press the button again every time!
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""")
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demo.launch(enable_queue=True, debug=True)
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