Update app.py

app.py

@@ -3,6 +3,7 @@ import openai
 import os
 import base64
 import glob
+import json
 import mistune
 import pytz
 import math
@@ -29,8 +30,7 @@ elif choice == "md":
 elif choice == "py":
      st.sidebar.write(choicePrefix + "Python Code.")
 
-# Create 3 columns with column 2 being twice as large
-col1, col2, col3 = st.columns([1, 2, 1])
+max_length = st.sidebar.slider("Max document length", min_value=1000, max_value=32000, value=2000, step=1000)
 
 def generate_filename(prompt, file_type):
     central = pytz.timezone('US/Central')
@@ -49,6 +49,9 @@ def create_file(filename, prompt, response):
         with open(filename, 'w') as file:
             file.write(f"# Prompt:\n{prompt}\n# Response:\n{response}")
 
+def truncate_document(document, length):
+    return document[:length]
+
 def divide_document(document, max_length):
     return [document[i:i+max_length] for i in range(0, len(document), max_length)]
 
@@ -60,6 +63,7 @@ def chat_with_model(prompt, document_section):
     response = openai.ChatCompletion.create(model=model, messages=conversation)
     return response['choices'][0]['message']['content']
 
+
 def get_table_download_link(file_path):
     with open(file_path, 'r') as file:
         data = file.read()
@@ -77,7 +81,15 @@ def get_table_download_link(file_path):
     href = f'<a href="data:{mime_type};base64,{b64}" target="_blank" download="{file_name}">{file_name}</a>'
     return href
 
-def read_file_content(file):
+
+def CompressXML(xml_text):
+    root = ET.fromstring(xml_text)
+    for elem in list(root.iter()):
+        if isinstance(elem.tag, str) and 'Comment' in elem.tag:
+            elem.parent.remove(elem)
+    return ET.tostring(root, encoding='unicode', method="xml")
+    
+def read_file_content(file,max_length):
     if file.type == "application/json":
         content = json.load(file)
         return str(content)
@@ -99,37 +111,48 @@ def read_file_content(file):
         return ""
 
 def main():
-    user_prompt = col1.text_area("Your question:", '', height=150)
-    uploaded_file = col1.file_uploader("Choose a file", type=["xml", "json", "html", "htm", "md", "txt"])
+    user_prompt = st.text_area("Your question:", '', height=120)
+    uploaded_file = st.file_uploader("Choose a file", type=["xml", "json", "html", "htm", "md", "txt"])
     max_length = 4000
 
     document_sections = deque()
     document_responses = {}
 
     if uploaded_file is not None:
-        file_content = read_file_content(uploaded_file)
+        file_content = read_file_content(uploaded_file, max_length)
         document_sections.extend(divide_document(file_content, max_length))
 
     if len(document_sections) > 0:
+        st.markdown("**Sections of the uploaded file:**")
+        for i, section in enumerate(list(document_sections)):
+            st.markdown(f"**Section {i+1}**\n{section}")
+
+        st.markdown("**Chat with the model:**")
         for i, section in enumerate(list(document_sections)):
             if i in document_responses:
-                col2.text(f"Section {i+1} Response")
-                col2.text_area('', document_responses[i], height=200)
+                st.markdown(f"**Section {i+1}**\n{document_responses[i]}")
             else:
-                if col3.button(f"Chat about Section {i+1}"):
+                if st.button(f"Chat about Section {i+1}"):
+                    st.write('Thinking and Reasoning with your inputs...')
                     response = chat_with_model(user_prompt, section)
+                    st.write('Response:')
+                    st.write(response)
                     document_responses[i] = response
                     filename = generate_filename(f"{user_prompt}_section_{i+1}", choice)
                     create_file(filename, user_prompt, response)
                     st.sidebar.markdown(get_table_download_link(filename), unsafe_allow_html=True)
 
-    if col3.button('💬 Chat'):
+
+    if st.button('💬 Chat'):
+        st.write('Thinking and Reasoning with your inputs...')
         response = chat_with_model(user_prompt, ''.join(list(document_sections)))
-        document_responses['aggregate'] = response
+        st.write('Response:')
+        st.write(response)
+        
         filename = generate_filename(user_prompt, choice)
         create_file(filename, user_prompt, response)
         st.sidebar.markdown(get_table_download_link(filename), unsafe_allow_html=True)
-    
+
     all_files = glob.glob("*.txt") + glob.glob("*.htm") + glob.glob("*.md")
     for file in all_files:
         col1, col2 = st.sidebar.columns([4,1])  # adjust the ratio as needed