Add application file

.env

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+OPENAI_KEY=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

app.py

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+import os
+import sys
+from typing import Union, Literal
+
+import gradio as gr
+import tempfile
+
+from openai import OpenAI
+from dotenv import load_dotenv
+
+load_dotenv()
+
+openai_key = os.getenv("OPENAI_KEY")
+
+
+if openai_key == "<YOUR_OPENAI_KEY>":
+    openai_key = ""
+
+if openai_key == "":
+    sys.exit("Please Provide Your OpenAI API Key")
+
+
+def tts(
+        text: str,
+        model: Union[str, Literal["tts-1", "tts-1-hd"]],
+        voice: Literal["alloy", "echo", "fable", "onyx", "nova", "shimmer"],
+        output_file_format: Literal["mp3", "opus", "aac", "flac"] = "mp3",
+        speed: float = 1.0
+):
+    if len(text) > 0:
+        try:
+            client = OpenAI(api_key=openai_key)
+
+            response = client.audio.speech.create(
+                model=model,
+                voice=voice,
+                input=text,
+                response_format=output_file_format,
+                speed=speed
+            )
+
+        except Exception as error:
+            print(str(error))
+            raise gr.Error(
+                "An error occurred while generating speech. Please check your API key and come back try again.")
+
+        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
+    else:
+        return "1-second-of-silence.mp3"
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("# <center> OpenAI Text-To-Speech API with Gradio </center>")
+    with gr.Row(variant="panel"):
+        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 Options",
+                            value="alloy")
+        output_file_format = gr.Dropdown(choices=["mp3", "opus", "aac", "flac"], label="Output Options", value="mp3")
+        speed = gr.Slider(minimum=0.25, maximum=4.0, value=1.0, step=0.01, label="Speed")
+
+    text = gr.Textbox(label="Input text",
+                      placeholder="Enter your text and then click on the \"Text-To-Speech\" button, "
+                                  "or simply press the Enter key.")
+    btn = gr.Button("Text-To-Speech")
+    output_audio = gr.Audio(label="Speech Output")
+
+    text.submit(fn=tts, inputs=[text, model, voice, output_file_format, speed], outputs=output_audio, api_name="tts")
+    btn.click(fn=tts, inputs=[text, model, voice, output_file_format, speed], outputs=output_audio, api_name=False)
+
+demo.launch(
+    share=True,
+    debug=True,
+    # server_name="127.0.0.1",
+    server_name="0.0.0.0",
+    server_port=8088
+)
+
+# curl --location "http://127.0.0.1:7860/api/tts" \
+# --header "Content-Type: application/json" \
+# --data "{"data":["Hello", "tts-1", "alloy"]}"
+
+# curl --location "http://127.0.0.1:7860/file=/private/var/folders/5v/
+# 0b0l_t1x3752h3t1bt_rtnjr0000gn/T/gradio/e91d8bf36ee07f536bed6b5a5bf9522b1fc86436/tmpkem8ubvz.mp3"

requirements.txt

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+gradio~=4.12.0
+openai~=1.2.3
+python-dotenv~=1.0.0