Update app.py

app.py

@@ -1,10 +1,10 @@
-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()
+from numpy import int16,float32
+import gradio as gr
+from transformers import AutoModel
+model = AutoModel.from_pretrained("shethjenil/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()