Update app.py

app.py

@@ -14,7 +14,7 @@ model = HubertForSpeechClassification.from_pretrained("SeyedAli/Persian-Speech-E
 sampling_rate = feature_extractor.sampling_rate
 
 audio_input = gr.Audio(label="صوت گفتار فارسی",type="filepath")
-#text_output = gr.TextArea(label="هیجان موجود در صوت گفتار",text_align="right",rtl=True,type="text")
+text_output = gr.TextArea(label="هیجان موجود در صوت گفتار",text_align="right",rtl=True,type="text")
 
 def SER(audio):
     with tempfile.NamedTemporaryFile(suffix=".wav") as temp_audio_file:
@@ -33,10 +33,8 @@ def SER(audio):
 
         scores = F.softmax(logits, dim=1).detach().cpu().numpy()[0]
         outputs = [{"Label": config.id2label[i], "Score": f"{round(score * 100, 3):.1f}%"} for i, score in enumerate(scores)]
-        for p in outputs:
-            outputs[p["label"]] = p["score"]
-            return outputs
-        #return outputs
+        
+        return outputs
 
-iface = gr.Interface(fn=SER, inputs=audio_input, outputs=gr.outputs.Label())
+iface = gr.Interface(fn=SER, inputs=audio_input, outputs=text_output)
 iface.launch(share=False)