Update app.py

app.py

@@ -1,7 +1,31 @@
 import gradio as gr
+from transformers import pipeline
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Load models
+transcriber = pipeline("automatic-speech-recognition", model="openai/whisper-base")
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+# Function to process audio
+def process_audio(audio_file):
+    # Step 1: Transcribe audio
+    transcription = transcriber(audio_file)["text"]
+    
+    # Step 2: Summarize transcription
+    summary = summarizer(transcription, max_length=50, min_length=10, do_sample=False)[0]["summary_text"]
+    
+    return transcription, summary
+
+# Gradio Interface
+interface = gr.Interface(
+    fn=process_audio,
+    inputs=gr.Audio(source="upload", type="filepath", label="Upload Audio File"),
+    outputs=[
+        gr.Textbox(label="Full Transcription"),
+        gr.Textbox(label="Summary")
+    ],
+    title="Audio Transcription and Summarization",
+    description="Upload an audio file to get a full transcription and a brief summary of its content."
+)
+
+# Launch the interface
+interface.launch()