Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load the model from Hugging Face Hub
+model_id = "Abhinay45/XTTS-Hindi-finetuned"  # Model identifier
+tts_pipeline = pipeline("text-to-speech", model=model_id)
+
+# Define the function that will convert text to speech
+def text_to_speech(text):
+    audio = tts_pipeline(text)
+    return audio["audio"]
+
+# Create a Gradio interface
+iface = gr.Interface(
+    fn=text_to_speech, 
+    inputs="text", 
+    outputs="audio", 
+    title="Hindi Text-to-Speech",
+    description="Enter Hindi text and get the corresponding speech output.",
+)
+
+# Launch the interface
+iface.launch()