Create app.py

Web app for fine tune model

app.py

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+import streamlit as st
+import soundfile as sf
+from transformers import pipeline
+
+# Load your fine-tuned audio emotion classification model
+model_name = "sami606713/emotion_classification"
+classifier = pipeline("audio-classification", model=model_name)
+
+# Title and description
+st.title("Audio Emotion Classification")
+st.write("Upload an audio file and the model will classify the emotion.")
+
+# File uploader
+uploaded_file = st.file_uploader("Choose an audio file...", type=["wav", "mp3", "ogg"])
+
+if uploaded_file is not None:
+    # Load the audio file
+    audio_input,sample_rate=sf.read(uploaded_file)
+
+    # Display the audio player
+    st.audio(uploaded_file)
+
+    # Perform emotion classification
+    st.write("Classifying...")
+    predictions = classifier(audio_input)
+
+    # Display the results
+    for prediction in predictions:
+        st.write(f"Emotion: {prediction['label']}, Score: {prediction['score']:.2f}")