Update app.py

app.py

@@ -1,13 +1,24 @@
 import streamlit as st
+import tempfile
+import os
 from speechbrain.inference.interfaces import foreign_class
 
 # Initialize the classifier
 classifier = foreign_class(source="speechbrain/emotion-recognition-wav2vec2-IEMOCAP", pymodule_file="custom_interface.py", classname="CustomEncoderWav2vec2Classifier")
 
-def emotion(file):
-    if file is not None:
+def save_uploaded_file(uploaded_file):
+    temp_dir = tempfile.TemporaryDirectory()
+    file_path = os.path.join(temp_dir.name, uploaded_file.name)
+    with open(file_path, "wb") as f:
+        f.write(uploaded_file.getbuffer())
+    return file_path
+
+def emotion(uploaded_file):
+    if uploaded_file is not None:
+        # Save the uploaded file to a temporary location
+        file_path = save_uploaded_file(uploaded_file)
         # Classify the file
-        out_prob, score, index, text_lab = classifier.classify_file(file.name)
+        out_prob, score, index, text_lab = classifier.classify_file(file_path)
         # Display the output
         st.write(text_lab)
     else: