Update app.py

app.py

@@ -1,37 +1,9 @@
 import gradio as gr
 from TTS.api import TTS
-import requests
-
-#API_URL = "https://YOUR-SPACE-NAME.hf.space/api/predict"
-API_URL = "https://shanulhaq-elevenlabs-ai-audio.hf.space"
-
-data = {
-    "data": ["Your text to convert to speech."]
-}
-
-response = requests.post(API_URL, json=data)
-
-if response.status_code == 200:
-    try:
-        json_response = response.json()
-        if "data" in json_response:
-            audio_content = json_response["data"][0]
-        else:
-            print("No data found in the response:", json_response)
-    except requests.exceptions.JSONDecodeError:
-        print("Failed to decode JSON. Response content:", response.text)
-else:
-    print(f"Failed to get a valid response. Status code: {response.status_code}")
-    print("Response content:", response.text)
-
-
-# Initialize the TTS model
-#tts = TTS(model_name="tts_models/en/ljspeech/tacotron2-DDC", progress_bar=False, gpu=False)
 
 # Initialize the multilingual TTS model
 tts = TTS(model_name="tts_models/multilingual/multi-dataset/your_tts", progress_bar=False, gpu=False)
 
-
 def text_to_speech(text):
     # Generate speech from text
     audio_path = tts.tts_to_file(text=text, file_path="output.wav")
@@ -43,8 +15,8 @@ def text_to_speech(text):
 # Create Gradio interface
 interface = gr.Interface(
     fn=text_to_speech,
-    inputs=gr.inputs.Textbox(lines=5, placeholder="Enter text here..."),
-    outputs=gr.outputs.Audio(type="file"),
+    inputs=gr.Textbox(lines=5, placeholder="Enter text here..."),
+    outputs=gr.Audio(type="file"),
     title="AI-Powered Text-to-Speech Converter",
     description="Convert text to speech using AI models.",
 )