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app.py

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+import gradio as gr
+import tempfile
+from openai import OpenAI
+first_alert = "1mp3.mp3"
+next_alert = "3mp3.mp3"
+
+def Txt_To_Speech(api_key, model, voice,speed,text):
+    if api_key == '':
+        output= first_alert
+    else:
+        try:
+           client = OpenAI(api_key=api_key)
+           response = client.audio.speech.create(
+                model=model,
+                voice=voice,
+                speed=speed,
+                input=text
+            )
+           with tempfile.NamedTemporaryFile(suffix=".mp3", delete=False) as temp_file:
+            temp_file.write(response.content)
+
+            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 API-Key", placeholder="API-Key", lines=1)
+    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")
+    speed = gr.Slider(minimum=0.25, maximum=4.0, value=1.0, step=0.01, label="Speed")
+
+    text = gr.Textbox(label="Please Enter text",placeholder="Enter your Input")
+
+
+    
+        
+    
+    gr.Interface(
+        Txt_To_Speech,
+        [
+            text1,model,voice,speed,text
+        ],
+        outputs=gr.Audio(label="Speech Output")
+    )
+
+    
+
+demo.launch()

requirements.txt

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+openai