Create app.py

app.py

@@ -0,0 +1,41 @@
+import gradio as grd
+import os
+import tempfile
+from openai import OpenAI
+
+# Initialize OpenAI client with API key
+api_key = os.getenv('OPENAI_API_KEY')
+os.environ['OPENAI_API_KEY'] = api_key
+
+openai_client = OpenAI()
+
+def synthesize_speech(input_text, selected_model, selected_voice):
+    audio_response = openai_client.audio.speech.create(
+        model=selected_model,
+        voice=selected_voice,
+        input=input_text,
+    )
+
+    # Save the synthesized speech to a temporary audio file
+    with tempfile.NamedTemporaryFile(suffix=".mp3", delete=False) as audio_temp:
+        audio_temp.write(audio_response.content)
+        audio_file_path = audio_temp.name
+
+    return audio_file_path
+
+# Define the Gradio interface
+with grd.Blocks() as speech_synthesizer_interface:
+    grd.Markdown("# <center> Text-to-Speech Synthesizer </center>")
+    with grd.Row():
+        model_selector = grd.Dropdown(choices=['tts-1', 'tts-1-hd'], label='Choose Model', value='tts-1')
+        voice_selector = grd.Dropdown(choices=['alloy', 'echo', 'fable', 'onyx', 'nova', 'shimmer'], label='Select Voice', value='alloy')
+
+    input_field = grd.Textbox(label="Enter your text here", placeholder="Type here and convert to speech.")
+    synthesis_button = grd.Button("Convert to Speech")
+    audio_result = grd.Audio(label="Generated Speech")
+
+    input_field.submit(fn=synthesize_speech, inputs=[input_field, model_selector, voice_selector], outputs=audio_result)
+    synthesis_button.click(fn=synthesize_speech, inputs=[input_field, model_selector, voice_selector], outputs=audio_result)
+
+# Launch the interface
+speech_synthesizer_interface.launch()