Update app.py

app.py

@@ -4,7 +4,6 @@ import os
 import base64
 import glob
 import json
-import re
 from xml.etree import ElementTree as ET
 from datetime import datetime
 from dotenv import load_dotenv
@@ -39,11 +38,109 @@ def get_table_download_link(file_path):
     href = f'<a href="data:file/htm;base64,{b64}" target="_blank" download="{os.path.basename(file_path)}">{os.path.basename(file_path)}</a>'
     return href
 
-def CompressXML_Old(xml_text):
-    words = xml_text.split()
-    english_words = [word for word in words if re.fullmatch(r'[A-Za-z ]*', word)]
-    compressed_text = ' '.join(english_words)
-    return compressed_text
+def CompressXML(xml_text):
+    tree = ET.ElementTree(ET.fromstring(xml_text))
+    for elem in tree.iter():
+        if isinstance(elem.tag, ET.Comment):
+            elem.getparent().remove(elem)
+    return ET.tostring(tree.getroot(), encoding='unicode')
+
+def read_file_content(file):
+    if file.type == "application/json":
+        content = json.load(file)
+        return str(content)
+    elif file.type == "text/html":
+        content = BeautifulSoup(file, "html.parser")
+        return content.text
+    elif file.type == "application/xml" or file.type == "text/xml":
+        xml_text = file.getvalue().decode()
+        compressed_text = CompressXML(xml_text)
+        return compressed_text
+    elif file.type == "text/plain":
+        return file.getvalue().decode()
+    else:
+        return ""
+
+def main():
+    st.title("Chat with AI")
+
+    prompts = ['']
+
+    user_prompt = st.text_area("Your question:", '', height=120)
+    uploaded_file = st.file_uploader("Choose a file", type=["xml", "json", "htm", "txt"])
+
+    if user_prompt:
+        prompts.append(user_prompt)
+
+    if uploaded_file is not None:
+        file_content = read_file_content(uploaded_file)
+        st.markdown(f"**Content Added to Prompt:**\n{file_content}")
+        prompts.append(file_content)
+
+    if st.button('Chat'):
+        st.write('Chatting with GPT-3...')
+        response = chat_with_model(prompts)
+        st.write('Response:')
+        st.write(response)
+
+        filename = generate_filename(user_prompt)
+        create_file(filename, user_prompt, response)
+
+        st.sidebar.markdown(get_table_download_link(filename), unsafe_allow_html=True)
+
+    htm_files = glob.glob("*.htm")
+    for file in htm_files:
+        st.sidebar.mark
+
+
+
+
+User
+show full code listing
+ChatGPT
+Here is the full Python script:
+
+python
+Copy code
+import streamlit as st
+import openai
+import os
+import base64
+import glob
+import json
+from xml.etree import ElementTree as ET
+from datetime import datetime
+from dotenv import load_dotenv
+from openai import ChatCompletion
+
+load_dotenv()
+
+openai.api_key = os.getenv('OPENAI_KEY')
+
+def chat_with_model(prompts):
+    model = "gpt-3.5-turbo"
+
+    conversation = [{'role': 'system', 'content': 'You are a helpful assistant.'}]
+    conversation.extend([{'role': 'user', 'content': prompt} for prompt in prompts])
+
+    response = openai.ChatCompletion.create(model=model, messages=conversation)
+    return response['choices'][0]['message']['content']
+
+def generate_filename(prompt):
+    safe_date_time = datetime.now().strftime("%m_%d_%H_%M")
+    safe_prompt = "".join(x for x in prompt if x.isalnum())[:50]
+    return f"{safe_date_time}_{safe_prompt}.htm"
+
+def create_file(filename, prompt, response):
+    with open(filename, 'w') as file:
+        file.write(f"<h1>Prompt:</h1> <p>{prompt}</p> <h1>Response:</h1> <p>{response}</p>")
+
+def get_table_download_link(file_path):
+    with open(file_path, 'r') as file:
+        data = file.read()
+    b64 = base64.b64encode(data.encode()).decode()
+    href = f'<a href="data:file/htm;base64,{b64}" target="_blank" download="{os.path.basename(file_path)}">{os.path.basename(file_path)}</a>'
+    return href
 
 def CompressXML(xml_text):
     tree = ET.ElementTree(ET.fromstring(xml_text))
@@ -59,20 +156,16 @@ def read_file_content(file):
     elif file.type == "text/html":
         content = BeautifulSoup(file, "html.parser")
         return content.text
-    elif file.type == "application/xmlold" or file.type == "text/xmlold":
-        tree = ElementTree.parse(file)
-        root = tree.getroot()
-        return ElementTree.tostring(root, encoding='unicode')
     elif file.type == "application/xml" or file.type == "text/xml":
-        tree = ElementTree.parse(file)
-        root = tree.getroot()
-        xml_text = ElementTree.tostring(root, encoding='unicode')
-        return CompressXML(xml_text)
+        xml_text = file.getvalue().decode()
+        compressed_text = CompressXML(xml_text)
+        return compressed_text
     elif file.type == "text/plain":
         return file.getvalue().decode()
     else:
         return ""
 
+
 def main():
     st.title("Chat with AI")