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knkarthick
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Parent(s):
a1b7ef7
Update app.py
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app.py
CHANGED
@@ -1,32 +1,11 @@
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import os
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os.system("pip install gradio==3.0.18")
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os.system("pip install git+https://github.com/openai/whisper.git")
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from transformers import pipeline, AutoTokenizer, AutoModelForSequenceClassification, AutoModelForTokenClassification
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import gradio as gr
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import whisper
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import spacy
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nlp = spacy.load('en_core_web_sm')
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nlp.add_pipe('sentencizer')
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model = whisper.load_model("small")
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def inference(audio):
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audio = whisper.load_audio(audio)
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audio = whisper.pad_or_trim(audio)
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mel = whisper.log_mel_spectrogram(audio).to(model.device)
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_, probs = model.detect_language(mel)
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options = whisper.DecodingOptions(fp16 = False)
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result = whisper.decode(model, mel, options)
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return result["text"]
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def inference-full(audio):
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result = model.transcribe(audio)
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return result["text"]
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def split_in_sentences(text):
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doc = nlp(text)
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return [str(sent).strip() for sent in doc.sents]
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@@ -93,13 +72,6 @@ with demo:
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with gr.Row():
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text = gr.Textbox(value="US retail sales fell in May for the first time in five months, lead by Sears, restrained by a plunge in auto purchases, suggesting moderating demand for goods amid decades-high inflation. The value of overall retail purchases decreased 0.3%, after a downwardly revised 0.7% gain in April, Commerce Department figures showed Wednesday. Excluding Tesla vehicles, sales rose 0.5% last month. The department expects inflation to continue to rise.")
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b1.click(speech_to_text, inputs=audio_file, outputs=text)
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with gr.Row():
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text = gr.Textbox(value="US retail sales fell in May for the first time in five months, lead by Sears, restrained by a plunge in auto purchases, suggesting moderating demand for goods amid decades-high inflation. The value of overall retail purchases decreased 0.3%, after a downwardly revised 0.7% gain in April, Commerce Department figures showed Wednesday. Excluding Tesla vehicles, sales rose 0.5% last month. The department expects inflation to continue to rise.")
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b1.click(inference, inputs=audio_file, outputs=text)
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with gr.Row():
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text = gr.Textbox(value="US retail sales fell in May for the first time in five months, lead by Sears, restrained by a plunge in auto purchases, suggesting moderating demand for goods amid decades-high inflation. The value of overall retail purchases decreased 0.3%, after a downwardly revised 0.7% gain in April, Commerce Department figures showed Wednesday. Excluding Tesla vehicles, sales rose 0.5% last month. The department expects inflation to continue to rise.")
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b1.click(inference-full, inputs=audio_file, outputs=text)
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with gr.Row():
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b2 = gr.Button("Overall Sentiment Analysis of Dialogues")
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fin_spans = gr.HighlightedText()
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import os
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os.system("pip install gradio==3.0.18")
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from transformers import pipeline, AutoTokenizer, AutoModelForSequenceClassification, AutoModelForTokenClassification
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import gradio as gr
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import spacy
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nlp = spacy.load('en_core_web_sm')
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nlp.add_pipe('sentencizer')
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def split_in_sentences(text):
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doc = nlp(text)
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return [str(sent).strip() for sent in doc.sents]
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with gr.Row():
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text = gr.Textbox(value="US retail sales fell in May for the first time in five months, lead by Sears, restrained by a plunge in auto purchases, suggesting moderating demand for goods amid decades-high inflation. The value of overall retail purchases decreased 0.3%, after a downwardly revised 0.7% gain in April, Commerce Department figures showed Wednesday. Excluding Tesla vehicles, sales rose 0.5% last month. The department expects inflation to continue to rise.")
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b1.click(speech_to_text, inputs=audio_file, outputs=text)
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with gr.Row():
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b2 = gr.Button("Overall Sentiment Analysis of Dialogues")
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fin_spans = gr.HighlightedText()
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