Create app.py

app.py

@@ -0,0 +1,51 @@
+# app.py
+
+import os
+import sys
+import pathlib
+import subprocess
+import gradio as gr
+from fam.llm.fast_inference import TTS
+
+# Clone the repository
+if not os.path.exists("metavoice-src"):
+    subprocess.run(["git", "clone", "https://github.com/metavoiceio/metavoice-src.git"])
+os.chdir("metavoice-src")
+
+# Install dependencies
+subprocess.run(["sudo", "apt", "install", "pipx", "-y"])
+subprocess.run(["pipx", "install", "poetry"])
+subprocess.run(["pipx", "run", "poetry", "install"])
+subprocess.run(["pipx", "run", "poetry", "run", "pip", "install", "torch==2.2.1", "torchaudio==2.2.1"])
+
+# Get the poetry environment path
+result = subprocess.run(["pipx", "run", "poetry", "env", "list"], capture_output=True, text=True)
+venv = result.stdout.split()[0]
+with open("poetry_env.txt", "w") as f:
+    f.write(venv)
+
+# Add the virtual environment to the system path
+venv_path = pathlib.Path("poetry_env.txt").read_text().strip("\n")
+sys.path.append(f"{venv_path}/lib/python3.10/site-packages")
+
+# Initialize TTS
+tts = TTS()
+
+def text_to_speech(text):
+    wav_file = tts.synthesise(
+        text=text,
+        spk_ref_path="assets/bria.mp3"  # Specify your speaker reference file path
+    )
+    return wav_file
+
+# Create Gradio interface
+interface = gr.Interface(
+    fn=text_to_speech,
+    inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),
+    outputs=gr.Audio(type="numpy", label="Generated Audio"),
+    title="MetaVoice-1B Text to Speech",
+    description="Enter text to convert it into speech using the MetaVoice-1B model."
+)
+
+# Launch the Gradio interface
+interface.launch(share=True)