Upload app.py with huggingface_hub

app.py

@@ -0,0 +1,51 @@
+import gradio as gr
+import tempfile
+import openai
+
+def tts(input_text, model, voice, api_key):
+    openai.api_key = api_key
+    response = openai.audio.speech.create(
+        input=input_text,
+        voice=voice,
+        model=model
+    )
+    with tempfile.NamedTemporaryFile(suffix=".mp3", delete=False) as temp_file:
+        temp_file.write(response.content)
+        temp_file_path = temp_file.name
+    return temp_file_path
+
+model_options = ["tts-1", "tts-1-hd"]
+voice_options = ["alloy", "echo", "fable", "onyx", "nova", "shimmer"]
+
+with gr.Blocks(analytics_enabled=False) as demo:
+    with gr.Row():
+        with gr.Column(scale=1):
+            api_key_input = gr.Textbox(label="API Key", type="password")
+            model_dropdown = gr.Dropdown(choices=model_options, label="Model", value="tts-1-hd")
+            voice_dropdown = gr.Dropdown(choices=voice_options, label="Voice Options", value="echo")
+        with gr.Column(scale=2):
+            input_textbox = gr.Textbox(
+                label="Input Text",
+                lines=10,
+                placeholder="Type your text here..."
+            )
+            submit_button = gr.Button("Text-to-Speech", variant="primary")
+        with gr.Column(scale=1):
+            output_audio = gr.Audio(label="Output Audio")
+
+    def on_convert_click(input_text, model, voice, api_key):
+        return tts(input_text, model, voice, api_key)
+
+    submit_button.click(
+        fn=on_convert_click,
+        inputs=[input_textbox, model_dropdown, voice_dropdown, api_key_input],
+        outputs=output_audio
+    )
+
+    input_textbox.submit(
+        fn=on_convert_click,
+        inputs=[input_textbox, model_dropdown, voice_dropdown, api_key_input],
+        outputs=output_audio
+    )
+
+demo.launch(debug=True, share=True)