initial

app.py

@@ -0,0 +1,71 @@
+import gradio as gr
+import os
+import tempfile
+from openai import OpenAI
+
+
+def generate_tts(text, model, voice, api_key,response_format, speed):
+    if api_key == '':
+        raise gr.Error('Please enter your OpenAI API key to run this generator')
+    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
+                response_format=response_format, # mp3, opus, aac, flac
+                speed=speed, # 0.25x - 4x
+                input=text,
+            )
+
+        except Exception as error:
+            # Handle any exception that occurs
+            raise gr.Error("An error occurred while generating speech output. Please check your API key and try again.")
+            print(str(error))
+
+    # Create a temp file to save the audio from OpenAI api
+    output_suffix = "." + response_format
+    with tempfile.NamedTemporaryFile(suffix=output_suffix, 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
+
+css = """
+.header-text p {line-height: 80px !important; text-align: left; font-size: 26px;}
+.header-logo {text-align: left}
+"""
+
+with gr.Blocks(css=css) as tts_demo:
+    with gr.Row():
+        with gr.Column(scale=1, min_width=80):
+            gr.Image("tt-logo.jpg", width=80, height=80, show_download_button=False, show_share_button=False, interactive=False, show_label=False, elem_id="thinktecture-logo", elem_classes="header-logo", container=False)
+        with gr.Column(scale=11):
+            gr.Markdown("OpenAI Text-To-Speech Generator (TTS-1 Model)", elem_classes="header-text")
+        
+    with gr.Row(variant='panel'):
+      api_key = gr.Textbox(type='password', label='OpenAI API Key', placeholder='Your OpenAI API key')
+      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', value='fable')
+      response_format = gr.Dropdown(choices=['mp3', 'opus', 'aac', 'flac'], label='Output format', value='mp3')
+      speed = gr.Slider(0.25, 4, value=1, step=.25, label="Speed", info="Speach speed (0.25x - 4x)")
+
+    with gr.Row(variant='panel'):
+            text = gr.Textbox(label="Input text", placeholder="Your input for Text-To-Speech - press 'Say it' or hit 'Enter' key when ready.")
+    with gr.Row(variant='panel'):
+        with gr.Column(scale=1):
+            gr.Markdown(" ")
+        with gr.Column(scale=1):
+            btn = gr.Button("Say it")
+        with gr.Column(scale=1):
+            gr.Markdown(" ")
+        
+    output_audio = gr.Audio(label="Text-To-Speech Output", waveform_options={"waveform_progress_color" : "#ff584f"})
+    
+    text.submit(fn=generate_tts, inputs=[text, model, voice, api_key, response_format, speed], outputs=output_audio, api_name="tts_enter_key", concurrency_limit=None)
+    btn.click(fn=generate_tts, inputs=[text, model, voice, api_key, response_format, speed], outputs=output_audio, api_name="tts_button", concurrency_limit=None)
+
+tts_demo.launch()