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README.md

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+---
+title: Text To Speech Andrew 1761300879816
+emoji: 🦀
+colorFrom: red
+colorTo: yellow
+sdk: gradio
+sdk_version: 5.49.1
+app_file: app.py
+pinned: false
+short_description: hfstudio space
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+from huggingface_hub import InferenceClient
+import gradio as gr
+import os
+
+client = InferenceClient(api_key=os.getenv("HF_TOKEN"))
+
+def generate_speech(text):
+    if not text.strip():
+        return None
+    
+    try:
+        audio_bytes = client.text_to_speech(
+            text,
+            extra_body={
+                "exaggeration": 0.25,
+                "temperature": 0.7,
+                "audio_url": "https://huggingface.co/spaces/abidlabs/hfstudio/resolve/main/frontend/static/voices/andrew.mp3",
+            }
+        )
+        return audio_bytes
+    except Exception as e:
+        raise gr.Error(f"Error generating speech: {str(e)}")
+
+# Create the Gradio interface
+with gr.Blocks(title="Text to Speech") as demo:
+    gr.Markdown("# Text to Speech")
+    gr.Markdown("Convert text to speech using the Chatterbox model.")
+    
+    with gr.Row():
+        with gr.Column():
+            text_input = gr.Textbox(
+                label="Text to convert to speech",
+                placeholder="In a hole in the ground, there lived a hobbit. Not a nasty, dirty, wet hole, filled with the ends of...",
+                lines=5,
+                value="In a hole in the ground, there lived a hobbit. Not a nasty, dirty, wet hole, filled with the ends of worms and an oozy smell, nor yet a dry, bare, sandy hole with nothing in it to sit down on or to eat: it was a hobbit-hole, and that means comfort."
+            )
+            generate_btn = gr.Button("Generate Speech", variant="primary")
+        
+        with gr.Column():
+            audio_output = gr.Audio(label="Generated Speech")
+    
+    generate_btn.click(
+        fn=generate_speech,
+        inputs=[text_input],
+        outputs=[audio_output]
+    )
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+huggingface_hub
+gradio