Update app.py

app.py

@@ -1,31 +1,13 @@
-from transformers import pipeline
-
 import gradio as gr
-
-asr = pipeline("automatic-speech-recognition", "facebook/wav2vec2-base-960h")
-classifier = pipeline("text-classification")
-
-
-def speech_to_text(speech):
-    text = asr(speech)["text"]
-    return text
-
-
-def text_to_sentiment(text):
-    return classifier(text)[0]["label"]
-
-
-demo = gr.Blocks()
-
-with demo:
-    audio_file = gr.Audio(type="filepath")
-    text = gr.Textbox()
-    label = gr.Label()
-
-    b1 = gr.Button("Recognize Speech")
-    b2 = gr.Button("Classify Sentiment")
-
-    b1.click(speech_to_text, inputs=audio_file, outputs=text)
-    b2.click(text_to_sentiment, inputs=text, outputs=label)
+def update(name):
+    return f"Welcome to Gradio, {name}!"
+
+with gr.Blocks() as demo:
+    gr.Markdown("Start typing below and then click **Run** to see the output.")
+    with gr.Row():
+        inp = gr.Textbox(placeholder="What is your name?")
+        out = gr.Textbox()
+    btn = gr.Button("Run")
+    btn.click(fn=update, inputs=inp, outputs=out)
 
 demo.launch()