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	Update app.py
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        app.py
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         @@ -10,10 +10,14 @@ import wave 
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            import json
         
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            from vosk import Model, KaldiRecognizer
         
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            from transformers import pipeline
         
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            from huggingface_hub import snapshot_download
         
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            from pydub import AudioSegment
         
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            import noisereduce as nr
         
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            # β
 Auto-Download Vosk Model (Speech-to-Text)
         
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            VOSK_MODEL = "vosk-model-small-en-us-0.15"
         
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            if not os.path.exists(VOSK_MODEL):
         
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         @@ -26,7 +30,7 @@ if not os.path.exists(VOSK_MODEL): 
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            model = Model(VOSK_MODEL)
         
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            # β
 Auto-Download Wav2Vec2 Model (Emotion Detection)
         
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            WAV2VEC_MODEL = " 
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            if not os.path.exists(WAV2VEC_MODEL):
         
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                st.write(f"Downloading {WAV2VEC_MODEL}...")
         
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                snapshot_download(repo_id=WAV2VEC_MODEL, local_dir=WAV2VEC_MODEL)
         
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            import json
         
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            from vosk import Model, KaldiRecognizer
         
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            from transformers import pipeline
         
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            from huggingface_hub import snapshot_download, login
         
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            from pydub import AudioSegment
         
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            import noisereduce as nr
         
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            # β
 Authenticate Hugging Face to access models
         
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            HUGGINGFACE_TOKEN = "your_huggingface_token"  # Replace with your token
         
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            login(token=HUGGINGFACE_TOKEN)
         
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            # β
 Auto-Download Vosk Model (Speech-to-Text)
         
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            VOSK_MODEL = "vosk-model-small-en-us-0.15"
         
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            if not os.path.exists(VOSK_MODEL):
         
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            model = Model(VOSK_MODEL)
         
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            # β
 Auto-Download Wav2Vec2 Model (Emotion Detection)
         
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            WAV2VEC_MODEL = "facebook/wav2vec2-large-xlsr-53"
         
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            if not os.path.exists(WAV2VEC_MODEL):
         
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                st.write(f"Downloading {WAV2VEC_MODEL}...")
         
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                snapshot_download(repo_id=WAV2VEC_MODEL, local_dir=WAV2VEC_MODEL)
         
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