3

README.md

@@ -5,7 +5,7 @@ colorFrom: green
 colorTo: indigo
 sdk: gradio
 sdk_version: 3.0.19
-app_file: app2.py
+app_file: app3.py
 pinned: false
 duplicated_from: harish3110/emotion_detection
 ---

app3.py

@@ -0,0 +1,37 @@
+from speechbrain.pretrained.interfaces import foreign_class
+import gradio as gr
+import os
+import warnings
+warnings.filterwarnings("ignore")
+
+# ... [rest of your code remains unchanged] ...
+
+# Get the list of audio files for the dropdown
+audio_files_list = get_audio_files_list()
+
+# Function to return the selected audio file path
+def get_audio_file_path(selected_audio):
+    file_path = os.path.join("rec", selected_audio)
+    return file_path
+
+# Gradio components
+dropdown = gr.Dropdown(label="Select Audio", choices=audio_files_list)
+audio_player = gr.Audio(source="file", label="Listen to the selected audio")
+
+# Update the audio player when a new selection is made from the dropdown
+def update_audio(selected_audio):
+    return get_audio_file_path(selected_audio)
+
+# Connect the dropdown to the audio player using the update_audio function
+dropdown.change(fn=update_audio, inputs=dropdown, outputs=audio_player)
+
+# Update the Gradio interface to use both the dropdown and the audio player as inputs
+interface = gr.Interface(
+    fn=predict_emotion,
+    inputs=[dropdown, audio_player],
+    outputs="text",
+    title="ML Speech Emotion Detection",
+    description="Speechbrain powered wav2vec 2.0 pretrained model on IEMOCAP dataset using Gradio."
+)
+
+interface.launch()