Create app.py

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the Whisper model for Hindi transcription
+pipe = pipeline(model="Tashuu/whisper-medium-hindi")
+
+def transcribe_audio(audio):
+    """
+    Transcribes the uploaded audio file using the fine-tuned Whisper model.
+    """
+    try:
+        transcription = pipe(audio)["text"]
+        return transcription
+    except Exception as e:
+        return f"Error during transcription: {str(e)}"
+
+# Define the Gradio interface
+interface = gr.Interface(
+    fn=transcribe_audio,
+    inputs=gr.Audio(type="filepath"),
+    outputs="text",
+    title="Hindi Speech-to-Text Transcription",
+    description="Upload an audio file in Hindi, and this app will transcribe it to text using a fine-tuned Whisper model."
+)
+
+# Launch the app
+interface.launch()