Update app.py

app.py

@@ -18,37 +18,10 @@ def make_spans(text,results):
     facts_spans = list(zip(split_in_sentences(text),results_list))
     return facts_spans
     
-auth_token = os.environ.get("HF_Token")
-
-##Speech Recognition
-asr = pipeline("automatic-speech-recognition", "facebook/wav2vec2-base-960h")
-def transcribe(audio):
-    text = asr(audio)["text"]
-    return text
-def speech_to_text(speech):
-    text = asr(speech)["text"]
-    return text
-
-##Summarization 
-summarizer = pipeline("summarization", model="knkarthick/MEETING_SUMMARY")
-def summarize_text(text):
-    resp = summarizer(text)
-    stext = resp[0]['summary_text']
-    return stext
-
 ##Fiscal Tone Analysis
 
 model = AutoModelForSequenceClassification.from_pretrained("FinanceInc/auditor_sentiment_finetuned")
 fin_model= pipeline("sentiment-analysis", model='FinanceInc/auditor_sentiment_finetuned', tokenizer='FinanceInc/auditor_sentiment_finetuned')
-def text_to_sentiment(text):
-    sentiment = fin_model(text)[0]["label"]
-    return sentiment 
-
-##Company Extraction    
-def fin_ner(text):
-    api = gr.Interface.load("dslim/bert-base-NER", src='models', api_key=auth_token)
-    replaced_spans = api(text)
-    return replaced_spans    
 
 ##Fiscal Sentiment by Sentence
 def fin_ext(text):
@@ -68,20 +41,8 @@ with demo:
     gr.Markdown("This project applies AI trained by our financial analysts to analyze earning calls and other financial documents.")
     with gr.Row():
         with gr.Column():
-            audio_file = gr.inputs.Audio(source="microphone", type="filepath")
-            with gr.Row():
-                b1 = gr.Button("Recognize Speech") 
             with gr.Row():
                 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.")
-                b1.click(speech_to_text, inputs=audio_file, outputs=text)
-            with gr.Row():
-                b2 = gr.Button("Summarize Text")
-                stext = gr.Textbox()
-                b2.click(summarize_text, inputs=text, outputs=stext)     
-            with gr.Row():
-                b3 = gr.Button("Classify Financial Tone")
-                label = gr.Label()
-                b3.click(text_to_sentiment, inputs=stext, outputs=label)  
         with gr.Column():
             b5 = gr.Button("Financial Tone and Forward Looking Statement Analysis")
             with gr.Row():