Update app.py

app.py

@@ -1,50 +1,40 @@
 import gradio as gr
-import os
-import tempfile
-from openai import OpenAI
-
-
-def tts(text, model, voice, api_key):
-    if api_key == '':
-        raise gr.Error('Please enter your OpenAI API Key')
+import requests
+
+def generate_audio(text):
+    voice_id = 'SKwm0HLYsVDCM2ruvw2p'
+    url = "https://api.elevenlabs.io/v1/text-to-speech/" + voice_id
+    model_id = "eleven_multilingual_v2"
+    payload = {
+        "model_id": model_id,
+        "text": text,
+        "voice_settings": {
+            "similarity_boost": 0.75,
+            "stability": 0.5,
+            "style": 0,
+            "use_speaker_boost": True
+        }
+    }
+    headers = {
+        "Content-Type": "application/json",
+        "xi-api-key": "c5fb99a2b25402f104d246379bcf819a"
+    }
+
+    response = requests.post(url, json=payload, headers=headers, stream=True)
+
+    if response.status_code == 200:
+        return response.content
     else:
-        try:
-            client = OpenAI(api_key=api_key)
-
-            response = client.audio.speech.create(
-                model=model, # "tts-1","tts-1-hd"
-                voice=voice, # 'alloy', 'echo', 'fable', 'onyx', 'nova', 'shimmer'
-                input=text,
-            )
-
-        except Exception as error:
-            # Handle any exception that occurs
-            raise gr.Error("An error occurred while generating speech. Please check your API key and try again.")
-            print(str(error))
-
-    # Create a temp file to save the audio
-    with tempfile.NamedTemporaryFile(suffix=".mp3", delete=False) as temp_file:
-        temp_file.write(response.content)
-
-    # Get the file path of the temp file
-    temp_file_path = temp_file.name
-
-    return temp_file_path
-
-
-with gr.Blocks() as demo:
-    gr.Markdown("# <center> OpenAI Text-To-Speech API with Gradio </center>")
-    #gr.HTML("You can also access the Streaming demo for OpenAI TTS by clicking this <a href='https://huggingface.co/spaces/ysharma/OpenAI_TTS_Streaming'>Gradio demo link</a>")
-    with gr.Row(variant='panel'):
-      api_key = gr.Textbox(type='password', label='OpenAI API Key', placeholder='Enter your API key to access the TTS demo')
-      model = gr.Dropdown(choices=['tts-1','tts-1-hd'], label='Model', value='tts-1')
-      voice = gr.Dropdown(choices=['alloy', 'echo', 'fable', 'onyx', 'nova', 'shimmer'], label='Voice Options', value='alloy')
-
-    text = gr.Textbox(label="Input text", placeholder="Enter your text and then click on the 'Text-To-Speech' button, or simply press the Enter key.")
-    btn = gr.Button("Text-To-Speech")
-    output_audio = gr.Audio(label="Speech Output")
-    
-    text.submit(fn=tts, inputs=[text, model, voice, api_key], outputs=output_audio, api_name="tts_enter_key", concurrency_limit=None)
-    btn.click(fn=tts, inputs=[text, model, voice, api_key], outputs=output_audio, api_name="tts_button", concurrency_limit=None)
-
-demo.launch()
+        raise Exception(f"오류 발생. 상태 코드: {response.status_code}")
+
+# Gradio 인터페이스 정의
+iface = gr.Interface(
+    fn=generate_audio,
+    inputs=gr.inputs.Textbox(label="변환할 텍스트를 입력하세요."),
+    outputs=gr.outputs.Audio(label="생성된 오디오"),
+    title="텍스트를 음성으로 변환",
+    description="Eleven Labs API를 사용하여 텍스트를 음성으로 변환합니다."
+)
+
+if __name__ == "__main__":
+    iface.launch()