Update app.py

app.py

@@ -9,4 +9,53 @@ if st.button("Analyze"):
     # Perform inference using the loaded model
     result = model(input_text)
     st.write("Prediction:", result[0]['label'], "| Score:", result[0]['score'])
+
+###
+def recording_storing():
+    chunk = 1024  # Record in chunks of 1024 samples
+    sample_format = pyaudio.paInt16  # 16 bits per sample
+    channels = 1
+    fs = 44100  # Record at 44100 samples per second
+    seconds = 4
+    # filename = "output.wav"
+
+    p = pyaudio.PyAudio()  # Create an interface to PortAudio
+
+    print('Recording')
+
+    stream = p.open(format=sample_format,
+                    channels=channels,
+                    rate=fs,
+                    frames_per_buffer=chunk,
+                    input=True)
+
+    frames = []  # Initialize array to store frames
+
+    # Store data in chunks for 3 seconds
+    for i in range(0, int(fs / chunk * seconds)):
+        data = stream.read(chunk)
+        frames.append(data)
+
+    # Stop and close the stream 
+    stream.stop_stream()
+    stream.close()
+    # Terminate the PortAudio interface
+    p.terminate()
+
+    print('Finished recording')
+
+    # Save the recorded data as a WAV file
+    wf = wave.open(filename, 'wb')
+    wf.setnchannels(channels)
+    wf.setsampwidth(p.get_sample_size(sample_format))
+    wf.setframerate(fs)
+    wf.writeframes(b''.join(frames))
+    wf.close()
+
+    
+    
+    return "recorded"
+
+audio = recording_storing()
+print(audio)