Update app.py

app.py

@@ -87,42 +87,42 @@ def ui():
             
             set_api_key(user_api_key)
             
-            #container for the chat history
-            response_container = st.container()
-            #container for the user's text input
-            container = st.container()
+            # #container for the chat history
+            # response_container = st.container()
+            # #container for the user's text input
+            # container = st.container()
     
-            with container:
-                with st.form(key='my_form', clear_on_submit=True):
-                    audio_file = st.file_uploader("Upload an audio file ", type=[ "wav,Mp4","Mp3"])
-                    submit_button = st.form_submit_button(label='Send')
-                if audio_file is not None and submit_button :
-                    output_file_path = "./output_audio.mp3"
-                    save_uploaded_file_as_mp3(audio_file,output_file_path )
-                    hindi_input_audio,sample_rate= librosa.load(output_file_path, sr=None, mono=True)
-                    #applying the audio recognition 
-                    hindi_transcription=parse_transcription('./output_audio.mp3')
-                    st.success(f"Audio file saved as {output_file_path}")
-                    #convert hindi to english
-                    english_input=hindi_to_english(hindi_transcription)
-                    #feeding the input to the LLM
-                    english_output = conversational_chat(llm_chain,english_input)
-                    #converting english to hindi 
-                    hin_output=translate_english_to_hindi(english_output)
-                    #getting the hindi_tts 
-                    hindi_output_audio=hindi_tts(hin_output)
-                    # hindi_output_file="./Hindi_output_Audio.Mp3"
-                    # save_uploaded_file_as_mp3(hindi_out"put_audio,hindi_output_file)
-                    st.audio(hindi_output_audio)
-    
-                    st.session_state['past'].append(hindi_input_audio)
-                    st.session_state['generated'].append(hindi_output_audio)
+            # with container:
+            with st.form(key='my_form', clear_on_submit=True):
+                audio_file = st.file_uploader("Upload an audio file ", type=[ "wav,Mp4","Mp3"])
+                submit_button = st.form_submit_button(label='Send')
+            if audio_file is not None and submit_button :
+                output_file_path = "./output_audio.mp3"
+                save_uploaded_file_as_mp3(audio_file,output_file_path )
+                hindi_input_audio,sample_rate= librosa.load(output_file_path, sr=None, mono=True)
+                #applying the audio recognition 
+                hindi_transcription=parse_transcription('./output_audio.mp3')
+                st.success(f"Audio file saved as {output_file_path}")
+                #convert hindi to english
+                english_input=hindi_to_english(hindi_transcription)
+                #feeding the input to the LLM
+                english_output = conversational_chat(llm_chain,english_input)
+                #converting english to hindi 
+                hin_output=translate_english_to_hindi(english_output)
+                #getting the hindi_tts 
+                hindi_output_audio=hindi_tts(hin_output)
+                # hindi_output_file="./Hindi_output_Audio.Mp3"
+                # save_uploaded_file_as_mp3(hindi_out"put_audio,hindi_output_file)
+                st.audio(hindi_output_audio)
+
+            #     st.session_state['past'].append(hindi_input_audio)
+            #     st.session_state['generated'].append(hindi_output_audio)
                 
-            if 'generated' in st.session_state and st.session_state['generated']:
-                with response_container:
-                    for i in range(len(st.session_state['generated'])):
-                        st.audio(st.session_state["past"][i],format='audio/wav')
-                        st.audio(st.session_state["generated"][i],format='audio/wav')
+            # if 'generated' in st.session_state and st.session_state['generated']:
+            #     with response_container:
+            #         for i in range(len(st.session_state['generated'])):
+            #             st.audio(st.session_state["past"][i],format='audio/wav')
+            #             st.audio(st.session_state["generated"][i],format='audio/wav')
 
 if __name__ == '__main__':
     ui()