Update app.py

app.py

@@ -1,3 +1,24 @@
 import gradio as gr
+from transformers import pipeline
 
-gr.load("models/openai/whisper-small").launch()
+# Load the Whisper model for speech recognition
+pipe = pipeline("automatic-speech-recognition", model="openai/whisper-small")
+
+# Function to handle the speech recognition
+def transcribe_audio(audio):
+    # Use the pipeline to transcribe the audio
+    result = pipe(audio)["text"]
+    return result
+
+# Create a Gradio interface for the audio input and transcription output
+interface = gr.Interface(
+    fn=transcribe_audio,  # Function that handles the transcription
+    inputs=gr.Audio(source="microphone", type="filepath"),  # Input as audio from mic
+    outputs="text",  # Output as text
+    title="Whisper Speech Recognition",
+    description="Transcribe speech to text using OpenAI's Whisper model."
+)
+
+# Launch the Gradio interface
+if __name__ == "__main__":
+    interface.launch()