Updated app.py

app.py

@@ -1,33 +1,11 @@
 import gradio as gr
 from transformers import pipeline
 
-model = "openai/whisper-small"
-pipe = pipeline("automatic-speech-recognition", model=model)
+# model = "openai/whisper-small"
+# pipe = pipeline("automatic-speech-recognition", model=model)
 
-def transcribe_speech(filepath):
-    output = pipe(
-        filepath,
-        max_new_tokens=256,
-        generate_kwargs={
-            "task": "transcribe",
-        },
-        chunk_length_s=30,
-        batch_size=8,
-    )
-    return output["text"]
+def greet(name):
+    return "Hello " + name + "!!"
 
-demo = gr.Blocks()
-
-mic_transcribe = gr.Interface(
-    fn=transcribe_speech,
-    inputs=gr.Audio(sources="microphone", type="filepath"),
-    outputs=gr.outputs.Textbox(),
-)
-
-with demo:
-    gr.TabbedInterface(
-        [mic_transcribe],
-        ["Transcribe Microphone"],
-    )
-
-demo.launch(debug=True)
+demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+demo.launch()