Spaces:
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Sleeping
Update app.py
Browse files
app.py
CHANGED
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@@ -58,6 +58,18 @@ def predict(message, system_prompt='', temperature=0.7, max_new_tokens=4096,Topp
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st.title(TITLE)
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st.write(DESCRIPTION)
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textinput = st.chat_input("Ask LLama-2-70b anything...")
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wav_audio_data = st_audiorec()
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@@ -66,23 +78,13 @@ if wav_audio_data != None:
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with open("audio.wav", "wb") as f:
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f.write(wav_audio_data)
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# transcribe audio
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response = transcribe("audio.wav")
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with st.chat_message("assistant", avatar='🦙'):
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st.markdown(response)
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# Add assistant response to chat history
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st.session_state.messages.append({"role": "assistant", "content": response})
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if "messages" not in st.session_state:
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st.session_state.messages = []
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# Display chat messages from history on app rerun
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for message in st.session_state.messages:
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with st.chat_message(message["role"], avatar=("🧑💻" if message["role"] == 'human' else '🦙')):
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st.markdown(message["content"])
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# React to user input
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if prompt := textinput:
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# Display user message in chat message container
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@@ -95,4 +97,8 @@ if prompt := textinput:
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with st.chat_message("assistant", avatar='🦙'):
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st.markdown(response)
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# Add assistant response to chat history
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st.session_state.messages.append({"role": "assistant", "content": response})
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st.title(TITLE)
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st.write(DESCRIPTION)
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if "messages" not in st.session_state:
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st.session_state.messages = []
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# Display chat messages from history on app rerun
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for message in st.session_state.messages:
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with st.chat_message(message["role"], avatar=("🧑💻" if message["role"] == 'human' else '🦙')):
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st.markdown(message["content"])
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textinput = st.chat_input("Ask LLama-2-70b anything...")
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wav_audio_data = st_audiorec()
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with open("audio.wav", "wb") as f:
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f.write(wav_audio_data)
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# transcribe audio
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response = predict(message=transcribe("audio.wav"))
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with st.chat_message("assistant", avatar='🦙'):
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st.markdown(response)
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# Add assistant response to chat history
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st.session_state.messages.append({"role": "assistant", "content": response})
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# React to user input
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if prompt := textinput:
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# Display user message in chat message container
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with st.chat_message("assistant", avatar='🦙'):
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st.markdown(response)
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# Add assistant response to chat history
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st.session_state.messages.append({"role": "assistant", "content": response})
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