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| import base64 | |
| import numpy as np | |
| import streamlit as st | |
| from streamlit_mic_recorder import mic_recorder | |
| from utils import load_model, generate_response, bytes_to_array | |
| def home_page(): | |
| ## Set up home page Title | |
| col1, col2 = st.columns([1, 4]) | |
| custom_html = """ | |
| <div class="banner"> | |
| <img src="https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRhB2e_AhOe11wKxnnwOmOVg9E7J1MBgiTeYzzFAESwcCP5IbBAc2X8BwGChMfJzwqtVg&usqp=CAU" alt="Banner Image"> | |
| </div> | |
| <style> | |
| .banner { | |
| width: 100%; | |
| height: 200px; | |
| overflow: visible; | |
| } | |
| .banner img { | |
| width: 100%; | |
| object-fit: cover; | |
| } | |
| </style> | |
| """ | |
| with col1: | |
| components.html(custom_html) | |
| with col2: | |
| st.write("# Welcome to Merlion AI - AudioLLMs 🤖") | |
| ## Set up home page other information | |
| st.markdown('') | |
| def audio_llm(): | |
| with st.sidebar: | |
| st.divider() | |
| st.markdown("""<div class="sidebar-intro"> | |
| <p><strong>Purpose</strong>: Complext Audio Understanding</p> | |
| <p><strong>Name</strong>: MERaLion-AudioLLM-Experimental-Stage-1</p> | |
| <p><strong>Version</strong>: 0.0.1, Oct. 21, 2024</p> | |
| </div>""", unsafe_allow_html=True) | |
| if st.sidebar.button('Clear History'): | |
| st.session_state.update(messages=[], | |
| on_upload=False, | |
| on_record=False, | |
| on_select=False, | |
| audio_array=np.array([])) | |
| if "client" not in st.session_state or 'model_name' not in st.session_state: | |
| st.session_state.client, st.session_state.model_name = load_model() | |
| if "audio_array" not in st.session_state: | |
| st.session_state.audio_base64 = '' | |
| st.session_state.audio_array = np.array([]) | |
| if "default_instruction" not in st.session_state: | |
| st.session_state.default_instruction = "" | |
| col1, col2, col3 = st.columns(3) | |
| with col1: | |
| st.markdown("**Record Audio:**") | |
| recording = mic_recorder( | |
| format="wav", | |
| use_container_width=True, | |
| callback=lambda: st.session_state.update(on_record=True, messages=[]), | |
| key='record') | |
| if recording and st.session_state.on_record: | |
| audio_bytes = recording["bytes"] | |
| st.session_state.audio_base64 = base64.b64encode(audio_bytes).decode('utf-8') | |
| st.session_state.audio_array = bytes_to_array(audio_bytes) | |
| with col2: | |
| uploaded_file = st.file_uploader( | |
| label="**Upload Audio:**", | |
| type=['wav', 'mp3'], | |
| on_change=lambda: st.session_state.update(on_upload=True, messages=[]), | |
| key='upload' | |
| ) | |
| if uploaded_file and st.session_state.on_upload: | |
| audio_bytes = uploaded_file.read() | |
| st.session_state.audio_base64 = base64.b64encode(audio_bytes).decode('utf-8') | |
| st.session_state.audio_array = bytes_to_array(audio_bytes) | |
| with col3: | |
| audio_samples_w_instruct = { | |
| '1_ASR_IMDA_PART1_ASR_v2_141' : "Example Instruction:\n\n- Turn the spoken language into a text format.\n\n- Please translate the content into Chinese.", | |
| '2_ASR_IMDA_PART1_ASR_v2_2258': "Example Instruction:\n\n- Turn the spoken language into a text format.\n\n- Please translate the content into Chinese.", | |
| '3_ASR_IMDA_PART1_ASR_v2_2265': "Example Instruction:\n\n- Turn the spoken language into a text format.", | |
| '4_ASR_IMDA_PART2_ASR_v2_999' : "Example Instruction:\n\n- Translate the spoken words into text format.", | |
| '5_ASR_IMDA_PART2_ASR_v2_2241': "Example Instruction: \n\n- Translate the spoken words into text format.", | |
| '6_ASR_IMDA_PART2_ASR_v2_3409': "Example Instruction: \n\n- Translate the spoken words into text format.", | |
| '7_ASR_IMDA_PART3_30_ASR_v2_2269': "Example Instruction:\n\n- Need this talk written down, please.", | |
| '8_ASR_IMDA_PART3_30_ASR_v2_1698': "Example Instruction: \n\n- Need this talk written down, please.", | |
| '9_ASR_IMDA_PART3_30_ASR_v2_2474': "Example Instruction: \n\n- Need this talk written down, please.", | |
| '10_ASR_IMDA_PART4_30_ASR_v2_1527': "Example Instruction:\n\n- Write out the dialogue as text.", | |
| '11_ASR_IMDA_PART4_30_ASR_v2_3771': "Example Instruction: \n\n- Write out the dialogue as text.", | |
| '12_ASR_IMDA_PART4_30_ASR_v2_103' : "Example Instruction: \n\n- Write out the dialogue as text.", | |
| '13_ASR_IMDA_PART5_30_ASR_v2_1446': "Example Instruction: \n\n- Translate this vocal recording into a textual format.", | |
| '14_ASR_IMDA_PART5_30_ASR_v2_2281': "Example Instruction: \n\n- Translate this vocal recording into a textual format.", | |
| '15_ASR_IMDA_PART5_30_ASR_v2_4388': "Example Instruction: \n\n- Translate this vocal recording into a textual format.", | |
| '16_ASR_IMDA_PART6_30_ASR_v2_576': "Example Instruction: \n\n- Record the spoken word in text form.", | |
| '17_ASR_IMDA_PART6_30_ASR_v2_1413': "Example Instruction: \n\n- Record the spoken word in text form.", | |
| '18_ASR_IMDA_PART6_30_ASR_v2_2834': "Example Instruction: \n\n- Record the spoken word in text form.", | |
| '19_ASR_AIShell_zh_ASR_v2_5044': "Example Instruction: \n\n- Transform the oral presentation into a text document.", | |
| '20_ASR_LIBRISPEECH_CLEAN_ASR_V2_833': "Example Instruction: \n\n- Please provide a written transcription of the speech.", | |
| '21_ASR_LIBRISPEECH_OTHER_ASR_V2_656': "Example Instruction: \n\n- Can you make this audio into text?", | |
| '22_ASR_MEDIACORP_ASR_V2_35': "Example Instruction: \n\n- Transform the audio speech into a written transcript.", | |
| '23_ASR_MEDIACORP_ASR_V2_6': "Example Instruction: \n\n- Transform the audio speech into a written transcript.", | |
| '24_ASR_PEOPLES_SPEECH_ASR_V2_21376': "Example Instruction: \n\n- Need this audio turned into a written piece.", | |
| '25_ST_COVOST2_ZH-CN_EN_ST_V2_4567': "Example Instruction: \n\n- Please translate the given speech to English.", | |
| '26_ST_COVOST2_EN_ZH-CN_ST_V2_5422': "Example Instruction: \n\n- Please translate the given speech to Chinese.", | |
| '27_ST_COVOST2_EN_ZH-CN_ST_V2_6697': "Example Instruction: \n\n- Please translate the given speech to Chinese.", | |
| '28_SI_ALPACA-GPT4-AUDIO_SI_V2_299': "Example Instruction: \n\n- Please follow the instruction in the speech.", | |
| '29_SI_ALPACA-GPT4-AUDIO_SI_V2_750': "Example Instruction: \n\n- Please follow the instruction in the speech.", | |
| '30_SI_ALPACA-GPT4-AUDIO_SI_V2_1454': "Example Instruction: \n\n- Please follow the instruction in the speech.", | |
| '31_SI_OPENHERMES-AUDIO_SI_V2_673': "Example Instruction: \n\n- Please follow the instruction in the speech.", | |
| '32_SQA_CN_COLLEDGE_ENTRANCE_ENGLISH_TEST_SQA_V2_572': "Example Instruction: \n\n- What does the man think the woman should do at 4:00?", | |
| '33_SQA_IMDA_PART3_30_SQA_V2_2310': "Example Instruction: \n\n- Does Speaker2's wife cook for Speaker2 when they are at home?", | |
| '34_SQA_IMDA_PART3_30_SQA_V2_3621': "Example Instruction: \n\n- Does the phrase \"#gai-gai#\" have a meaning in Chinese or Hokkien language?", | |
| '35_SQA_IMDA_PART3_30_SQA_V2_4062': "Example Instruction: \n\n- What is the color of the vase mentioned in the dialogue?", | |
| '36_DS_IMDA_PART4_30_DS_V2_849': "Example Instruction: \n\n- Condense the dialogue into a concise summary highlighting major topics and conclusions.", | |
| '39_Paralingual_IEMOCAP_ER_V2_91': "Example Instruction: \n\n- Based on the speaker's speech patterns, what do you think they are feeling?", | |
| '40_Paralingual_IEMOCAP_ER_V2_567': "Example Instruction: \n\n- Based on the speaker's speech patterns, what do you think they are feeling?", | |
| '41_Paralingual_IEMOCAP_ER_V2_468': "Example Instruction: \n\n- Based on the speaker's speech patterns, what do you think they are feeling?", | |
| '42_Paralingual_IEMOCAP_GR_V2_320': "Example Instruction: \n\n- Is it possible for you to identify whether the speaker in this recording is male or female?", | |
| '43_Paralingual_IEMOCAP_GR_V2_129': "Example Instruction: \n\n- Is it possible for you to identify whether the speaker in this recording is male or female?", | |
| '44_Paralingual_IEMOCAP_GR_V2_213': "Example Instruction: \n\n- Is it possible for you to identify whether the speaker in this recording is male or female?", | |
| '45_Paralingual_IMDA_PART3_30_GR_V2_12312': "Example Instruction: \n\n- So, who's speaking in the second part of the clip? \n\n- So, who's speaking in the first part of the clip?", | |
| '46_Paralingual_IMDA_PART3_30_GR_V2_1442': "Example Instruction: \n\n- Who starts the conversation in the dialogue?", | |
| '47_Paralingual_IMDA_PART3_30_NR_V2_10479': "Example Instruction: \n\n- Can you guess which ethnic group this person is from based on their accent?", | |
| '48_Paralingual_IMDA_PART3_30_NR_V2_15735': "Example Instruction: \n\n- In an analysis of the audio recording, determine the ethnic backgrounds of the speakers based on the accents used.", | |
| '49_Paralingual_MELD_ER_V2_676': "Example Instruction: \n\n- What emotions do you think the speaker is expressing?", | |
| '50_Paralingual_MELD_ER_V2_692': "Example Instruction: \n\n- Based on the speaker's speech patterns, what do you think they are feeling?", | |
| '51_Paralingual_VOXCELEB1_GR_V2_2148': "Example Instruction: \n\n- May I know the gender of the speaker?", | |
| '52_Paralingual_VOXCELEB1_GR_V2_3282': "Example Instruction: \n\n- I'd appreciate knowing the gender of the speaker, if possible.", | |
| '53_Paralingual_VOXCELEB1_NR_V2_2286': "Example Instruction: \n\n- What's the nationality identity of the speaker?", | |
| '54_Paralingual_VOXCELEB1_NR_V2_2742': "Example Instruction: \n\n- I'm intrigued by the speaker's nationality, could you enlighten me?", | |
| '55_SQA_PUBLIC_SPEECH_SG_TEST_SQA_V2_2': "Example Instruction: \n\n- What impact would the growth of the healthcare sector have on the country's economy in terms of employment and growth?", | |
| '56_SQA_PUBLIC_SPEECH_SG_TEST_SQA_V2_415': "Example Instruction: \n\n- Based on the statement, can you summarize the speaker's position on the recent controversial issues in Singapore?", | |
| '57_SQA_PUBLIC_SPEECH_SG_TEST_SQA_V2_460': "Example Instruction: \n\n- How does the author respond to parents' worries about masks in schools?" | |
| } | |
| audio_sample_names = [audio_sample_name for audio_sample_name in audio_samples_w_instruct.keys()] | |
| sample_name = st.selectbox( | |
| label="**Select Audio:**", | |
| options=audio_sample_names, | |
| index=None, | |
| placeholder="Select an audio sample:", | |
| on_change=lambda: st.session_state.update(on_select=True, messages=[]), | |
| key='select') | |
| if sample_name and st.session_state.on_select: | |
| audio_bytes = open(f"audio_samples/{sample_name}.wav", "rb").read() | |
| st.session_state.default_instruction = audio_samples_w_instruct[sample_name] | |
| st.session_state.audio_base64 = base64.b64encode(audio_bytes).decode('utf-8') | |
| st.session_state.audio_array = bytes_to_array(audio_bytes) | |
| st.write(st.session_state.default_instruction) | |
| st.audio(st.session_state.audio_array, format="audio/wav", sample_rate=16000) | |
| st.session_state.update(on_upload=False, on_record=False, on_select=False) | |
| st.markdown( | |
| """ | |
| <style> | |
| .st-emotion-cache-1c7y2kd { | |
| flex-direction: row-reverse; | |
| text-align: right; | |
| } | |
| </style> | |
| """, | |
| unsafe_allow_html=True, | |
| ) | |
| if "messages" not in st.session_state: | |
| st.session_state.messages = [] | |
| if prompt := st.chat_input(): | |
| with st.chat_message("user"): | |
| st.write(prompt) | |
| st.session_state.messages.append({"role": "user", "content": prompt}) | |
| with st.chat_message("assistant"): | |
| with st.spinner("Thinking..."): | |
| stream = generate_response(prompt, st.session_state.audio_base64) | |
| response = st.write_stream(stream) | |
| st.session_state.messages.append({"role": "assistant", "content": response}) | |