Update app.py

app.py

@@ -5,7 +5,6 @@ import gradio as gr
 
 openai.api_key = "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"
 
-
 import requests
 
 API_URL = "https://api-inference.huggingface.co/models/lyimo/whisper-small-sw2"
@@ -17,7 +16,6 @@ def query(filename):
     response = requests.post(API_URL, headers=headers, data=data)
     return response.json()
 
-
 def transcribe(audio):
     with open(audio, "rb") as audio_file:
         transcript = openai.Audio.transcribe("whisper-1", audio_file)
@@ -55,14 +53,14 @@ def process_audio_and_respond(audio):
     text = transcribe(audio)
     response_text = generate_response(text)
     output_file = inference(response_text)
-    return response_text, output_file
+    return output_file
 
 demo = gr.Interface(
     process_audio_and_respond,
-    gr.inputs.Audio(source="microphone", type="filepath", label="Speak your question"),
-    [gr.outputs.Textbox(label="Answer (text)"), gr.outputs.Audio(type="filepath", label="Answer (audio)")],
-    title="AI Question Answering",
-    description="Ask any question and get an AI-generated answer as audio output.",
+    gr.inputs.Audio(source="microphone", type="filepath", label="Bofya Kuuliza Swali"),
+    gr.outputs.Audio(type="filepath", label="Bofya Kusikiliza Jibu"),
+    title="Uliza Mtaalamu wa Viazi Lishe",
+    description="Je ungependa Kujua nini kuhusu viazi Lishe?",
     theme="compact",
     layout="vertical",
     allow_flagging=False,