New file creation

app.py

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+import gradio as gr
+import transformers
+import librosa
+import numpy as np
+
+# Load the model pipeline
+pipe = transformers.pipeline(
+    model='fixie-ai/ultravox-v0_5-llama-3_1-8b',
+    trust_remote_code=True
+)
+
+def transcribe(audio):
+    if audio is None:
+        return "No audio provided."
+
+    # Load audio using librosa
+    audio_array, sr = librosa.load(audio, sr=16000)
+
+    # Define initial system prompt
+    turns = [
+        {
+            "role": "system",
+            "content": "You are a friendly and helpful character. You love to answer questions for people."
+        },
+    ]
+
+    # Run inference
+    result = pipe(
+        {'audio': audio_array, 'turns': turns, 'sampling_rate': sr},
+        max_new_tokens=30
+    )
+
+    # Return result content
+    return result[0]['content'] if isinstance(result, list) else str(result)
+
+# Build Gradio Interface
+demo = gr.Interface(
+    fn=transcribe,
+    inputs=gr.Audio(source="upload", type="filepath", label="Upload an Audio File"),
+    outputs=gr.Textbox(label="Ultravox Response"),
+    title="🎙️ Ultravox AI Voicebot",
+    description="Upload an audio file and Ultravox will respond intelligently!"
+)
+
+# Launch app
+if __name__ == "__main__":
+    demo.launch()