Upload app.py

app.py

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+import gradio as gr
+import tempfile
+import azure.cognitiveservices.speech as speechsdk
+first_alert = "first.wav"
+next_alert = "next.wav"
+
+def Txt_To_Speech(SpeechRegion, SpeechKey, text):
+    if (SpeechRegion == '' or SpeechKey == '' or text == ''):
+        output= first_alert
+    else:
+        try:
+           speech_config = speechsdk.SpeechConfig(subscription= SpeechKey, region=SpeechRegion)
+           audio_config = speechsdk.audio.AudioOutputConfig(use_default_speaker=True)
+
+           speech_config.speech_synthesis_voice_name='en-US-JennyNeural'
+
+           speech_synthesizer = speechsdk.SpeechSynthesizer(speech_config=speech_config, audio_config=audio_config)
+
+           result = speech_synthesizer.speak_text_async(text).get()
+    
+           
+           stream = speechsdk.AudioDataStream(result = result)
+           with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as temp_file:
+               stream.save_to_wav_file(temp_file.name)
+               temp_file_path = temp_file.name
+           
+           output = temp_file_path 
+        except :
+           output = next_alert
+    return output
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("# TTS Text To Speech using OpenAI ")
+
+    text1 = gr.Textbox(type = 'password',label="Enter your Speech Region", placeholder="Speech Region", lines=1)
+    text2 = gr.Textbox(label="SpeechKey",placeholder="Enter your Speech Key")
+    text3 = gr.Textbox(label="Inputs",placeholder="Enter your Inputs")
+
+    gr.Interface(
+        Txt_To_Speech,
+        [
+            text1,text2,text3
+        ],
+        outputs=gr.Audio(label="Speech Output")
+    )
+
+    
+
+demo.launch()