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Runtime error
Update app.py
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app.py
CHANGED
@@ -6,11 +6,12 @@ import glob
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import json
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import mistune
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import pytz
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from datetime import datetime
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from openai import ChatCompletion
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from xml.etree import ElementTree as ET
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from bs4 import BeautifulSoup
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openai.api_key = os.getenv('OPENAI_KEY')
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st.set_page_config(
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@@ -31,16 +32,6 @@ elif choice == "py":
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max_length = st.sidebar.slider("Max document length", min_value=1000, max_value=32000, value=2000, step=1000)
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def truncate_document(document, length):
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return document[:length]
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def chat_with_model(prompts):
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model = "gpt-3.5-turbo"
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conversation = [{'role': 'system', 'content': 'You are a helpful assistant.'}]
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conversation.extend([{'role': 'user', 'content': prompt} for prompt in prompts])
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response = openai.ChatCompletion.create(model=model, messages=conversation)
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return response['choices'][0]['message']['content']
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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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@@ -58,12 +49,20 @@ def create_file(filename, prompt, response):
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with open(filename, 'w') as file:
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file.write(f"# Prompt:\n{prompt}\n# Response:\n{response}")
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def
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def get_table_download_link(file_path):
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with open(file_path, 'r') as file:
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@@ -82,6 +81,7 @@ def get_table_download_link(file_path):
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href = f'<a href="data:{mime_type};base64,{b64}" target="_blank" download="{file_name}">{file_name}</a>'
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return href
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def CompressXML(xml_text):
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root = ET.fromstring(xml_text)
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for elem in list(root.iter()):
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@@ -111,31 +111,44 @@ def read_file_content(file,max_length):
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return ""
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def main():
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prompts = ['']
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file_content = ""
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user_prompt = st.text_area("Your question:", '', height=120)
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uploaded_file = st.file_uploader("Choose a file", type=["xml", "json", "html", "htm", "md", "txt"])
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if uploaded_file is not None:
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file_content = read_file_content(uploaded_file, max_length)
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if st.button('π¬ Chat'):
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st.write('Thinking and Reasoning with your inputs...')
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response = chat_with_model(
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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 len(file_content) > 0:
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st.markdown(f"**File Content Added:**\n{file_content}")
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all_files = glob.glob("*.txt") + glob.glob("*.htm") + glob.glob("*.md")
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for file in all_files:
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col1, col2 = st.sidebar.columns([4,1]) # adjust the ratio as needed
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@@ -147,4 +160,4 @@ def main():
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st.experimental_rerun()
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if __name__ == "__main__":
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main()
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import json
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import mistune
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import pytz
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import math
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from datetime import datetime
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from openai import ChatCompletion
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from xml.etree import ElementTree as ET
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from bs4 import BeautifulSoup
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from collections import deque
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openai.api_key = os.getenv('OPENAI_KEY')
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st.set_page_config(
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max_length = st.sidebar.slider("Max document length", min_value=1000, max_value=32000, value=2000, step=1000)
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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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with open(filename, 'w') as file:
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file.write(f"# Prompt:\n{prompt}\n# Response:\n{response}")
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def truncate_document(document, length):
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return document[:length]
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def divide_document(document, max_length):
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return [document[i:i+max_length] for i in range(0, len(document), max_length)]
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def chat_with_model(prompt, document_section):
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model = "gpt-3.5-turbo"
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conversation = [{'role': 'system', 'content': 'You are a helpful assistant.'}]
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conversation.append({'role': 'user', 'content': prompt})
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conversation.append({'role': 'assistant', 'content': document_section})
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response = openai.ChatCompletion.create(model=model, messages=conversation)
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return response['choices'][0]['message']['content']
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def get_table_download_link(file_path):
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with open(file_path, 'r') as file:
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href = f'<a href="data:{mime_type};base64,{b64}" target="_blank" download="{file_name}">{file_name}</a>'
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return href
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def CompressXML(xml_text):
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root = ET.fromstring(xml_text)
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for elem in list(root.iter()):
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return ""
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def main():
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user_prompt = st.text_area("Your question:", '', height=120)
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uploaded_file = st.file_uploader("Choose a file", type=["xml", "json", "html", "htm", "md", "txt"])
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max_length = 4000
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document_sections = deque()
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document_responses = {}
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if uploaded_file is not None:
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file_content = read_file_content(uploaded_file, max_length)
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document_sections.extend(divide_document(file_content, max_length))
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if len(document_sections) > 0:
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st.markdown("**Sections of the uploaded file:**")
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for i, section in enumerate(list(document_sections)):
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st.markdown(f"**Section {i+1}**\n{section}")
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st.markdown("**Chat with the model:**")
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for i, section in enumerate(list(document_sections)):
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if i in document_responses:
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st.markdown(f"**Section {i+1}**\n{document_responses[i]}")
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else:
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if st.button(f"Chat about Section {i+1}"):
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st.write('Thinking and 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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if st.button('π¬ Chat'):
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st.write('Thinking and 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("*.txt") + glob.glob("*.htm") + glob.glob("*.md")
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for file in all_files:
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col1, col2 = st.sidebar.columns([4,1]) # adjust the ratio as needed
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st.experimental_rerun()
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if __name__ == "__main__":
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main()
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