Upload 3 files

README.md

@@ -0,0 +1,12 @@
+# Marathi Voice Cloning (Hugging Face Space)
+
+This project demonstrates **Marathi text-to-speech voice cloning** using [IndicF5](https://huggingface.co/ai4bharat/IndicF5).
+
+## Usage
+1. Upload your short voice sample (`.wav`, 6–30 seconds).
+2. Provide the transcript of what you said in that sample.
+3. Enter new Marathi text you want to synthesize.
+4. Click **Generate Speech** and listen!
+
+---
+*Created with ❤️ using Hugging Face + Gradio.*

app.py

@@ -0,0 +1,38 @@
+import gradio as gr
+from transformers import AutoModel
+import soundfile as sf
+import numpy as np
+
+# Load IndicF5 model
+model = AutoModel.from_pretrained("ai4bharat/IndicF5", trust_remote_code=True)
+
+def generate_tts(text, ref_audio, ref_text):
+    if ref_audio is None:
+        return "⚠️ कृपया एक आवाज फाइल अपलोड करा", None
+
+    # ref_audio = path string (because gr.Audio gives filepath)
+    ref_audio_path = ref_audio
+
+    # Run model
+    audio = model(text, ref_audio_path=ref_audio_path, ref_text=ref_text)
+    audio = np.array(audio, dtype=np.float32)
+
+    # Save output
+    out_path = "output.wav"
+    sf.write(out_path, audio, samplerate=24000)
+
+    return "✅ आवाज तयार झाला!", out_path
+
+with gr.Blocks() as demo:
+    gr.Markdown("## 🎙️ माझं Marathi Voice Cloning (IndicF5)")
+
+    text = gr.Textbox(label="तुम्हाला काय बोलायचं आहे?")
+    ref_audio = gr.Audio(type="filepath", label="तुमचा आवाज (WAV, 6–30 सेकंद)")
+    ref_text = gr.Textbox(label="त्या ऑडिओमध्ये तुम्ही काय बोललात?")
+    out_msg = gr.Textbox(label="Status")
+    out_audio = gr.Audio(label="Generated Audio", type="filepath")
+
+    btn = gr.Button("Generate Speech")
+    btn.click(generate_tts, inputs=[text, ref_audio, ref_text], outputs=[out_msg, out_audio])
+
+demo.launch()

requirements.txt

@@ -0,0 +1,5 @@
+TTS==0.22.0
+gradio==4.44.0
+soundfile==0.12.1
+transformers==4.44.2
+torch