Upload folder using huggingface_hub

.env

@@ -0,0 +1,2 @@
+ELEVENLABS_JWT_TOKEN=eyJhbGciOiJSUzI1NiIsImtpZCI6IjhkNzU2OWQyODJkNWM1Mzk5MmNiYWZjZWI2NjBlYmQ0Y2E1OTMxM2EiLCJ0eXAiOiJKV1QifQ.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.JnUgu7HncMmxUfXV4ZfQviKobZNYjEKbBrQpzuCKp6WOPJfS_Ph1AzJ1liyCQSKkygATb-jPyLPn3ZlFMV6Lx78hAMR-CddFu4m2e59x2h8kP37iJbosbXzR3_403hHWkQT5yqauwPTGsthR6XKe1--qmWyDMDs6_8e7xq3r4BWzRe2Ju4na3OMiahtuEt1S-0ebAwkhHzZ9sIcbICbx8hVNrUa2Lmdw5pob-TZwAiG7cPFI8BQOH9stKyb1hT0vAMseqs4fiAOQ3ern8rBrI8cycKilGlEvlX8fwlZftUio1F7jVlNCQ8GsP62pOK6zwwZjr5mJLHZhtMKeyHCDtA
+ELEVENLABS_API_KEY=sk_fdda75ef4f2c2e36636094dc39454ca3ca7d51b51691955e

README.md

@@ -1,12 +1,6 @@
 ---
-title: Gradio Voice Mail From A Friend
-emoji: 🐢
-colorFrom: red
-colorTo: pink
+title: gradio-voice-mail-from-a-friend
+app_file: text_to_speech.py
 sdk: gradio
-sdk_version: 5.0.2
-app_file: app.py
-pinned: false
+sdk_version: 4.44.1
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

requirements.txt

@@ -0,0 +1,2 @@
+elevenlabs
+gradio

text_to_speech.py

@@ -0,0 +1,119 @@
+import gradio as gr
+from elevenlabs import save, Voice, VoiceSettings
+from elevenlabs.client import ElevenLabs
+import os
+import requests
+import json
+from dotenv import load_dotenv
+
+# Load environment variables from .env file
+load_dotenv()
+
+# Instantiate ElevenLabs client with API key from environment variables
+eleven_api_key = os.getenv("ELEVENLABS_API_KEY")
+
+if not eleven_api_key:
+    raise ValueError("ELEVENLABS_API_KEY environment variable not set.")
+
+# Initialize ElevenLabs client
+eleven = ElevenLabs(api_key=eleven_api_key)
+
+def get_available_voices():
+    try:
+        response = eleven.voices.get_all()
+        voices = response.voices
+        return [(f"{voice.name} ({voice.voice_id})", voice.voice_id) for voice in voices]
+    except Exception as e:
+        print(f"Error fetching voices: {str(e)}")
+        return [("Error fetching voices", "")]
+
+def text_to_speech(text, voice_id, stability, similarity_boost, style, use_speaker_boost):
+    try:
+        url = f"https://api.elevenlabs.io/v1/text-to-speech/{voice_id}"
+        
+        headers = {
+            'Authorization': f'Bearer {os.getenv("ELEVENLABS_JWT_TOKEN")}',
+            'Content-Type': 'application/json'
+        }
+        
+        payload = json.dumps({
+            "text": text,
+            "model_id": "eleven_multilingual_v2",
+            "voice_settings": {
+                "stability": stability,
+                "similarity_boost": similarity_boost,
+                "style": style,
+                "use_speaker_boost": use_speaker_boost
+            }
+        })
+        
+        response = requests.post(url, headers=headers, data=payload)
+        response.raise_for_status()
+        
+        output_file = "output.mp3"
+        with open(output_file, 'wb') as f:
+            f.write(response.content)
+        
+        return output_file
+    except Exception as e:
+        print(f"An error occurred during text-to-speech conversion: {str(e)}")
+        return None
+
+with gr.Blocks() as demo:
+    gr.Markdown("# Text-to-Speech Converter")
+    gr.Markdown("Enter text, select a voice, and convert it to speech.")
+    
+    with gr.Row():
+        with gr.Column():
+            text_input = gr.Textbox(label="Enter text to convert to speech", lines=5)
+            voice_choices = get_available_voices()
+            voice_input = gr.Dropdown(
+                choices=voice_choices,
+                label="Select voice",
+                value=voice_choices[0][1] if voice_choices else None
+            )
+            stability_input = gr.Slider(
+                minimum=0.0, 
+                maximum=1.0, 
+                value=0.75, 
+                step=0.01, 
+                label="Stability"
+            )
+            similarity_boost_input = gr.Slider(
+                minimum=0.0, 
+                maximum=1.0, 
+                value=0.75, 
+                step=0.01, 
+                label="Similarity Boost"
+            )
+            style_input = gr.Slider(
+                minimum=0.0, 
+                maximum=1.0, 
+                value=0.0, 
+                step=0.01, 
+                label="Style"
+            )
+            use_speaker_boost_input = gr.Checkbox(
+                label="Use Speaker Boost",
+                value=True
+            )
+            submit_btn = gr.Button("Convert to Speech")
+        
+        with gr.Column():
+            audio_output = gr.Audio(label="Generated Speech")
+    
+    submit_btn.click(
+        fn=text_to_speech,
+        inputs=[
+            text_input,
+            voice_input,
+            stability_input, 
+            similarity_boost_input, 
+            style_input, 
+            use_speaker_boost_input
+        ],
+        outputs=audio_output
+    )
+
+if __name__ == "__main__":
+    demo.launch(share=True)