Create app.py

app.py

@@ -0,0 +1,22 @@
+import torch
+from transformers import pipeline
+import gradio as gr
+def transcript_audio(audio_file):
+    # Initialize the speech recognition pipeline
+    pipe = pipeline(
+  "automatic-speech-recognition",
+  model="openai/whisper-tiny.en",
+  chunk_length_s=30,
+)    
+    # Transcribe the audio file and return the result
+    result = pipe(audio_file, batch_size=8)["text"]
+    return result
+audio_input = gr.Audio(sources="upload", type="filepath")  # Audio input
+output_text = gr.Textbox()  # Text output
+
+iface = gr.Interface(fn=transcript_audio, 
+                     inputs=audio_input, outputs=output_text, 
+                     title="Title: Audio Transcription App - Created by Nabeel",
+                     description="Upload the audio file")
+
+iface.launch(server_name="0.0.0.0", server_port=7860,share=True)