Created app.py

app.py

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+import gradio as gr
+import numpy as np
+import io
+import base64
+import requests
+import re
+from scipy.io import wavfile
+from murf import Murf
+
+# Global variable to track the number of tries.
+attempt_count = 0
+
+# Initialize the Murf client with your initial API key.
+client = Murf(api_key="ap2_214acdca-35de-4dca-8810-7cc7b0068cb9")
+
+def extract_voice_id(selection):
+    """
+    Extracts the voice ID from the dropdown selection.
+    Expects a string in the format "Label (voice_id)".
+    """
+    match = re.search(r'\((.*?)\)', selection)
+    if match:
+        return match.group(1)
+    return selection
+
+def generate_voice_murf(text, voice_selection):
+    global attempt_count, client
+    # Check if the try limit is reached.
+    if attempt_count >= 5:
+        raise gr.Error("Limit of 5 tries reached. Please update your API key. To fetch your new API key, visit https://murf.ai/api/dashboard.")
+    attempt_count += 1
+    
+    # Extract the voice_id from the dropdown selection.
+    voice_id = extract_voice_id(voice_selection)
+    
+    try:
+        # Limit text to 250 characters.
+        text = text[:250]
+        
+        # Call the Murf API to generate speech.
+        response = client.text_to_speech.generate(
+            text=text,
+            voice_id=voice_id,
+            format="WAV"
+        )
+        
+        # Try to access the audio data.
+        if hasattr(response, "encoded_audio") and response.encoded_audio:
+            audio_bytes = base64.b64decode(response.encoded_audio)
+        elif hasattr(response, "audio_file") and response.audio_file:
+            audio_url = response.audio_file
+            r = requests.get(audio_url)
+            if r.status_code != 200:
+                raise Exception("Error downloading audio file.")
+            audio_bytes = r.content
+        else:
+            raise Exception("No audio returned by the API.")
+        
+        # Convert the audio bytes to a NumPy array for Gradio.
+        audio_file = io.BytesIO(audio_bytes)
+        sample_rate, audio_data = wavfile.read(audio_file)
+        return (sample_rate, audio_data)
+    
+    except Exception as e:
+        raise gr.Error(str(e))
+
+def update_api_key(new_key):
+    global client, attempt_count
+    if new_key.strip() == "":
+        raise gr.Error("Please provide a valid API key.")
+    client = Murf(api_key=new_key)
+    attempt_count = 0  # Reset try counter
+    return "API key updated successfully. You can now try again."
+
+# Define sample voice options as friendly strings.
+voice_options = [
+    "Natalie (en-US-natalie)",
+    "Matt (en-UK-matt)"
+]
+
+with gr.Blocks() as demo:
+    gr.Markdown("# Murf TTS Demo")
+    gr.Markdown("A demo using the Murf API to generate speech from text. Enter some text (max 250 characters) and choose a voice.")
+    
+    input_text = gr.Textbox(
+        label="Input Text (250 characters max)",
+        lines=2,
+        value="Hello, welcome to the Murf TTS demo!",
+        elem_id="input_text"
+    )
+    
+    voice_dropdown = gr.Dropdown(
+        label="Voice",
+        choices=voice_options,
+        value=voice_options[0],
+        elem_id="voice_dropdown"
+    )
+    
+    generate_button = gr.Button("Generate Voice", elem_id="generate_button")
+    out_audio = gr.Audio(label="Generated Voice", type="numpy", elem_id="out_audio")
+    
+    generate_button.click(
+        fn=generate_voice_murf,
+        inputs=[input_text, voice_dropdown],
+        outputs=out_audio,
+        queue=True
+    )
+    
+    # Update API Key section – only needed after a "Limit of 5 tries reached" error.
+    gr.Markdown("### Update API Key (Only update after receiving a 'Limit of 5 tries reached' error)")
+    gr.Markdown("To fetch your new API key, visit [Murf Dashboard](https://murf.ai/api/dashboard).")
+    new_api_key = gr.Textbox(
+        label="New API Key",
+        placeholder="Enter new API key here...",
+        elem_id="new_api_key"
+    )
+    update_button = gr.Button("Update API Key", elem_id="update_button")
+    api_key_status = gr.Textbox(label="Status", interactive=False, elem_id="api_key_status")
+    
+    update_button.click(
+        fn=update_api_key,
+        inputs=new_api_key,
+        outputs=api_key_status,
+        queue=True
+    )
+    
+    demo.launch()