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app.py

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+import streamlit as st
+import assemblyai as aai
+
+from enum import Enum
+
+class SentimentType(Enum):
+    NEUTRAL = 'neutral'
+    POSITIVE = 'POSITIVE'
+    NEGATIVE = 'NEGATIVE'
+
+class Entry:
+    def __init__(self, text, start, end, confidence, speaker, sentiment):
+        self.text = text
+        self.start = start
+        self.end = end
+        self.confidence = confidence
+        self.speaker = speaker
+        self.sentiment = sentiment
+
+if 'body' not in st.session_state:    
+    st.session_state.body = []
+
+st.session_state.summary = ""
+st.session_state.senti = ""
+def readFiles(file):
+    audio_process(file)
+
+def audio_process(file):
+    aai.settings.api_key = "ea2cabb1f91545f28590043ea73fc63c"    
+    config = aai.TranscriptionConfig(
+        speech_model=aai.SpeechModel.best,
+        iab_categories=True,
+        # auto_chapters=True,
+        #   content_safety=True,
+        # auto_highlights=True,
+        sentiment_analysis=True,
+        entity_detection=True,
+        speaker_labels=True,
+        #   filter_profanity=True,
+        language_detection=True,
+        summarization=True,        
+        # summary_type=aai.SummarizationType.bullets
+    ).set_redact_pii(
+    policies=[
+        aai.PIIRedactionPolicy.medical_condition,
+        # aai.PIIRedactionPolicy.email_address,
+        # aai.PIIRedactionPolicy.phone_number,
+        # aai.PIIRedactionPolicy.banking_information,
+        # aai.PIIRedactionPolicy.credit_card_number,
+        # aai.PIIRedactionPolicy.credit_card_cvv,
+        # aai.PIIRedactionPolicy.date_of_birth,
+        # aai.PIIRedactionPolicy.person_name
+    ]
+    )
+
+    transcriber = aai.Transcriber(config=config)
+    transcript = transcriber.transcribe(file)
+
+    if transcript.status == aai.TranscriptStatus.error:
+        print(transcript.error)
+    else:        
+        for utterance in transcript.utterances:
+            result = {'speaker': utterance.speaker, 'answer': utterance.text}
+            st.session_state.body.append(result)
+        st.session_state.summary = transcript.summary
+        negative = 0
+        positive = 0
+        neutral = 0
+        for sentiment_result in transcript.sentiment_analysis:
+            sents = sentiment_result.sentiment
+           
+            if sents.value=='NEGATIVE':
+                negative = negative+1
+            if sents.value=='NEUTRAL':
+                neutral = neutral+1
+            if sents.value=='POSITIVE':
+                positive = positive+1
+        
+        st.session_state.senti = f"Neutral: {neutral}, Positive : {positive}, Negative : {negative}"       
+        
+            
+col1, col2 = st.columns(2)  
+def main():
+    with st.sidebar:
+        st.header("Upload Audio File Here", divider='rainbow')
+        files = st.file_uploader('', accept_multiple_files=False)
+        button = st.button("Process")
+        if button:
+            if files:
+                with st.spinner("Processing"):
+                    readFiles(files)
+            else:
+                st.error('No files selected')
+    
+    with col1:
+        st.subheader('CONVERSATIONS', divider='rainbow')
+        for chat in st.session_state.body:        
+            with st.chat_message(chat["speaker"]):
+                st.write(chat["answer"])
+    with col2:
+        st.subheader('SUMMARY', divider='rainbow')
+        st.write(st.session_state.summary)
+        st.subheader('SENTIMENT ANALYSIS', divider='rainbow')
+        st.write(st.session_state.senti)
+if __name__ == "__main__":
+    main()

requirements.txt

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+assemblyai
+streamlit