Inital commit

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+import torch
+from transformers import pipeline
+
+# Load the Whisper pipeline
+transcriber = pipeline("automatic-speech-recognition", model="openai/whisper-base")  # Choose your Whisper size
+
+def transcribe_audio(audio_file):
+    if audio_file is not None:
+        text = transcriber(audio_file)["text"]
+        return text
+    else:
+        return "No audio file uploaded"
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("## Audio Transcription with Whisper")
+    audio_input = gr.Audio(source="upload", type="filepath", label="Upload Audio File")
+    text_output = gr.Textbox(label="Transcription")
+    btn = gr.Button("Transcribe")
+    btn.click(transcribe_audio, inputs=audio_input, outputs=text_output)
+
+demo.launch()

requirements.txt

@@ -0,0 +1,3 @@
+transformers
+gradio
+torch