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Update app.py
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app.py
CHANGED
@@ -16,7 +16,6 @@ from bs4 import BeautifulSoup
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from collections import deque
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from audio_recorder_streamlit import audio_recorder
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def generate_filename(prompt, file_type):
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central = pytz.timezone('US/Central')
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safe_date_time = datetime.now(central).strftime("%m%d_%I%M")
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@@ -135,23 +134,6 @@ def read_file_content(file,max_length):
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return ""
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# Sidebar and global
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openai.api_key = os.getenv('OPENAI_KEY')
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st.set_page_config(page_title="GPT Streamlit Document Reasoner",layout="wide")
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menu = ["htm", "txt", "xlsx", "csv", "md", "py"] #619
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choice = st.sidebar.selectbox("Output File Type:", menu)
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model_choice = st.sidebar.radio("Select Model:", ('gpt-3.5-turbo', 'gpt-3.5-turbo-0301'))
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# Audio, transcribe, GPT:
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filename = save_and_play_audio(audio_recorder)
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if filename is not None:
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transcription = transcribe_audio(openai.api_key, filename, "whisper-1")
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st.write(transcription)
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gptOutput = chat_with_model(transcription, '') # *************************************
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filename = generate_filename(transcription, choice)
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create_file(filename, transcription, gptOutput)
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st.sidebar.markdown(get_table_download_link(filename), unsafe_allow_html=True)
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def chat_with_file_contents(prompt, file_content):
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conversation = [{'role': 'system', 'content': 'You are a helpful assistant.'}]
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@@ -160,6 +142,7 @@ def chat_with_file_contents(prompt, file_content):
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conversation.append({'role': 'assistant', 'content': file_content})
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response = openai.ChatCompletion.create(model=model_choice, messages=conversation)
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return response['choices'][0]['message']['content']
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# Sidebar and global
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openai.api_key = os.getenv('OPENAI_KEY')
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@@ -173,16 +156,18 @@ filename = save_and_play_audio(audio_recorder)
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if filename is not None:
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transcription = transcribe_audio(openai.api_key, filename, "whisper-1")
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st.write(transcription)
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gptOutput = chat_with_model(transcription, '')
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filename = generate_filename(transcription, choice)
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create_file(filename, transcription, gptOutput)
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st.sidebar.markdown(get_table_download_link(filename), unsafe_allow_html=True)
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def main():
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user_prompt = st.text_area("Enter prompts, instructions & questions:", '', height=100)
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collength, colupload = st.columns([2,3]) # adjust the ratio as needed
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with collength:
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max_length = st.slider("File section length for large files", min_value=1000, max_value=128000, value=12000, step=1000)
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with colupload:
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uploaded_file = st.file_uploader("Add a file for context:", type=["xml", "json", "xlsx","csv","html", "htm", "md", "txt"])
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@@ -208,17 +193,27 @@ def main():
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else:
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if st.button(f"Chat about Section {i+1}"):
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st.write('Reasoning with your inputs...')
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response = chat_with_model(user_prompt, section)
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st.write('Response:')
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st.write(response)
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document_responses[i] = response
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filename = generate_filename(f"{user_prompt}
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create_file(filename, user_prompt, response)
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st.sidebar.markdown(get_table_download_link(filename), unsafe_allow_html=True)
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for file in all_files:
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col1, col2, col3 = st.sidebar.columns([5,1,1]) # adjust the ratio as needed
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@@ -234,6 +229,7 @@ def main():
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response = chat_with_file_contents(user_prompt, file_contents)
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st.write('Response:')
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st.write(response)
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filename = generate_filename(user_prompt, choice)
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create_file(filename, user_prompt, response)
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st.sidebar.markdown(get_table_download_link(filename), unsafe_allow_html=True)
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@@ -241,6 +237,6 @@ def main():
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if st.button("π", key="delete_"+file):
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os.remove(file)
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st.experimental_rerun()
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if __name__ == "__main__":
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main()
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from collections import deque
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from audio_recorder_streamlit import audio_recorder
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def generate_filename(prompt, file_type):
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central = pytz.timezone('US/Central')
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safe_date_time = datetime.now(central).strftime("%m%d_%I%M")
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return ""
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def chat_with_file_contents(prompt, file_content):
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conversation = [{'role': 'system', 'content': 'You are a helpful assistant.'}]
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conversation.append({'role': 'assistant', 'content': file_content})
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response = openai.ChatCompletion.create(model=model_choice, messages=conversation)
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return response['choices'][0]['message']['content']
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# Sidebar and global
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openai.api_key = os.getenv('OPENAI_KEY')
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if filename is not None:
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transcription = transcribe_audio(openai.api_key, filename, "whisper-1")
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st.write(transcription)
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gptOutput = chat_with_model(transcription, '') # *************************************
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filename = generate_filename(transcription, choice)
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create_file(filename, transcription, gptOutput)
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st.sidebar.markdown(get_table_download_link(filename), unsafe_allow_html=True)
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def main():
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user_prompt = st.text_area("Enter prompts, instructions & questions:", '', height=100)
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collength, colupload = st.columns([2,3]) # adjust the ratio as needed
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with collength:
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#max_length = 12000 - optimal for gpt35 turbo. 2x=24000 for gpt4. 8x=96000 for gpt4-32k.
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max_length = st.slider("File section length for large files", min_value=1000, max_value=128000, value=12000, step=1000)
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with colupload:
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uploaded_file = st.file_uploader("Add a file for context:", type=["xml", "json", "xlsx","csv","html", "htm", "md", "txt"])
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else:
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if st.button(f"Chat about Section {i+1}"):
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st.write('Reasoning with your inputs...')
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response = chat_with_model(user_prompt, section) # *************************************
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st.write('Response:')
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st.write(response)
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document_responses[i] = response
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filename = generate_filename(f"{user_prompt}_section_{i+1}", choice)
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create_file(filename, user_prompt, response)
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st.sidebar.markdown(get_table_download_link(filename), unsafe_allow_html=True)
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if st.button('π¬ Chat'):
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st.write('Reasoning with your inputs...')
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response = chat_with_model(user_prompt, ''.join(list(document_sections))) # *************************************
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st.write('Response:')
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st.write(response)
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filename = generate_filename(user_prompt, choice)
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create_file(filename, user_prompt, response)
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st.sidebar.markdown(get_table_download_link(filename), unsafe_allow_html=True)
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all_files = glob.glob("*.*")
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all_files = [file for file in all_files if len(os.path.splitext(file)[0]) >= 20] # exclude files with short names
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all_files.sort(key=lambda x: (os.path.splitext(x)[1], x), reverse=True) # sort by file type and file name in descending order
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for file in all_files:
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col1, col2, col3 = st.sidebar.columns([5,1,1]) # adjust the ratio as needed
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response = chat_with_file_contents(user_prompt, file_contents)
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st.write('Response:')
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st.write(response)
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filename = generate_filename(user_prompt, choice)
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create_file(filename, user_prompt, response)
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st.sidebar.markdown(get_table_download_link(filename), unsafe_allow_html=True)
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if st.button("π", key="delete_"+file):
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os.remove(file)
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st.experimental_rerun()
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if __name__ == "__main__":
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main()
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