Create app.py

app.py

@@ -0,0 +1,35 @@
+import os
+import gradio as gr
+from models import infere_speech_emotion, infere_text_emotion, infere_voice2text
+
+with gr.Blocks() as demo:
+    gr.HTML('''
+        <h1 style="text-align:center;">Speech and Text Emotion Recognition</h1>
+        <h2 style="text-align:center;">Determining someone's emotions can be challenging based solely on their tone or words <br> This app uses both to provide a more accurate analysis of emotional expression in a single audio recording</h2>
+        ''')
+    with gr.Row():
+        input = gr.Audio(label="Audio File", type="filepath")
+        with gr.Column():
+            output0 = gr.Textbox(label="Text from the audio")
+            output1 = gr.Textbox(label="Speech emotion")
+            output2 = gr.Textbox(label="Text emotion")
+    btn = gr.Button("Analyze audio")   
+        
+    btn.click(fn=infere_voice2text, inputs=input, outputs=output0)
+    btn.click(fn=infere_speech_emotion, inputs=input, outputs=output1)
+    output0.change(fn=infere_text_emotion, inputs=output0, outputs=output2)
+    
+    gr.HTML('''
+        <br>
+        <h3 style="text-align:center;">View examples of how speech and words can convey different emotions by clicking below</h3>
+        ''')
+    
+    gr.Examples(
+        [ 
+            os.path.join(os.path.dirname(__file__), "audio/a_good_dream.wav"),
+            os.path.join(os.path.dirname(__file__), "audio/hype_in_ai.wav"),
+        ],
+        input
+    )
+
+demo.launch()