Update app.py

app.py

@@ -106,31 +106,31 @@ def launch_bot():
             audio_result = st.button("Convert to Audio 🔊") 
             if audio_result:
                 with st.chat_message("text-to-speech"):
-                with st.spinner("Thinking..."):
-            #text-to-speech
-                    print("Calling in Text-to-speech via suno/bark-small")
-                    synthesiser = pipeline("text-to-speech", "suno/bark-small")
-        
-                    speech = synthesiser(response, forward_params={"do_sample": True})
-        
-                    scipy.io.wavfile.write("bark_out.wav", rate=speech["sampling_rate"], data=speech["audio"])
-                # ST interface for audio
-                    print("Now we try to display the audio file in the app")
-                    audio_file = open('bark_out.wav', 'rb')
-                    audio_bytes = audio_file.read()
-        
-                    audio_convert = st.audio(audio_bytes, format='bark_out.wav')
-                    st.session_state.messages.append(audio_convert)
-                    
-            #        sample_rate = 44100  # 44100 samples per second
-            #        seconds = 2  # Note duration of 2 seconds
-            #        frequency_la = 440  # Our played note will be 440 Hz
-            # Generate array with seconds*sample_rate steps, ranging between 0 and seconds
-            #        t = np.linspace(0, seconds, seconds * sample_rate, False)
-            # Generate a 440 Hz sine wave
-            #        note_la = np.sin(frequency_la * t * 2 * np.pi)
-        
-            #        st.audio(note_la, sample_rate=sample_rate)
+                    with st.spinner("Thinking..."):
+                #text-to-speech
+                        print("Calling in Text-to-speech via suno/bark-small")
+                        synthesiser = pipeline("text-to-speech", "suno/bark-small")
             
+                        speech = synthesiser(response, forward_params={"do_sample": True})
+            
+                        scipy.io.wavfile.write("bark_out.wav", rate=speech["sampling_rate"], data=speech["audio"])
+                    # ST interface for audio
+                        print("Now we try to display the audio file in the app")
+                        audio_file = open('bark_out.wav', 'rb')
+                        audio_bytes = audio_file.read()
+            
+                        audio_convert = st.audio(audio_bytes, format='audio/wav')
+                        st.session_state.messages.append(audio_convert)
+                        
+                #        sample_rate = 44100  # 44100 samples per second
+                #        seconds = 2  # Note duration of 2 seconds
+                #        frequency_la = 440  # Our played note will be 440 Hz
+                # Generate array with seconds*sample_rate steps, ranging between 0 and seconds
+                #        t = np.linspace(0, seconds, seconds * sample_rate, False)
+                # Generate a 440 Hz sine wave
+                #        note_la = np.sin(frequency_la * t * 2 * np.pi)
+            
+                #        st.audio(note_la, sample_rate=sample_rate)
+                
 if __name__ == "__main__":
     launch_bot()