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app.py

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+from numpy import int16,float32
+import gradio as gr
+from transformers import AutoModel
+model = AutoModel.from_pretrained("ai4bharat/IndicF5", trust_remote_code=True).to("cpu")
+def synthesize_speech(text, ref_audio, ref_text):
+    audio = model(text, ref_audio_path=ref_audio, ref_text=ref_text)
+    if audio.dtype == int16:
+        audio = audio.astype(float32) / 32768.0
+    return 24000, audio
+gr.Interface(synthesize_speech,[gr.Textbox(label="Text to Synthesize"), gr.Audio(type="filepath", label="Reference Prompt Audio"), gr.Textbox(label="Text in Reference Prompt Audio")], gr.Audio(label="Generated Speech", type="numpy")).launch()

requirements.txt

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+git+https://github.com/ai4bharat/IndicF5.git