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import streamlit as st
from azure.cosmos import CosmosClient, exceptions
import os
import pandas as pd
import traceback
import shutil
from github import Github
from git import Repo
from datetime import datetime
import base64
import json
import uuid
from urllib.parse import quote
from gradio_client import Client
import anthropic
import glob
import pytz
import re
from PIL import Image
import zipfile
import time
# App Configuration
Site_Name = 'πGitπCosmosπ« - Azure Cosmos DB and Github Agent'
title = "πGitπCosmosπ« - Azure Cosmos DB and Github Agent"
helpURL = 'https://huggingface.co/awacke1'
bugURL = 'https://huggingface.co/spaces/awacke1'
icons = 'πππ«'
st.set_page_config(
page_title=title,
page_icon=icons,
layout="wide",
initial_sidebar_state="auto",
menu_items={
'Get Help': helpURL,
'Report a bug': bugURL,
'About': title
}
)
# Cosmos DB configuration
ENDPOINT = "https://acae-afd.documents.azure.com:443/"
DATABASE_NAME = os.environ.get("COSMOS_DATABASE_NAME")
CONTAINER_NAME = os.environ.get("COSMOS_CONTAINER_NAME")
Key = os.environ.get("Key")
# Your local app URL (Change this to your app's URL)
LOCAL_APP_URL = "https://huggingface.co/spaces/awacke1/AzureCosmosDBUI"
# Anthropic configuration
client = anthropic.Anthropic(api_key=os.environ.get("ANTHROPIC_API_KEY"))
# Initialize session state
if "chat_history" not in st.session_state:
st.session_state.chat_history = []
# Helper Functions
def get_download_link(file_path):
with open(file_path, "rb") as file:
contents = file.read()
b64 = base64.b64encode(contents).decode()
file_name = os.path.basename(file_path)
return f'<a href="data:file/txt;base64,{b64}" download="{file_name}">Download {file_name}π</a>'
def generate_unique_id():
now = datetime.now()
date_time = now.strftime("%d%m%Y%H%M%S")
ms = now.microsecond // 1000
unique_id = f"{date_time}{ms:03d}"
return unique_id
def generate_filename(prompt, file_type):
central = pytz.timezone('US/Central')
safe_date_time = datetime.now(central).strftime("%m%d_%H%M")
safe_prompt = re.sub(r'\W+', '', prompt)[:90]
return f"{safe_date_time}{safe_prompt}.{file_type}"
def create_file(filename, prompt, response, should_save=True):
if not should_save:
return
with open(filename, 'w', encoding='utf-8') as file:
file.write(prompt + "\n\n" + response)
def load_file(file_name):
with open(file_name, "r", encoding='utf-8') as file:
content = file.read()
return content
def display_glossary_entity(k):
search_urls = {
"ππArXiv": lambda k: f"/?q={quote(k)}",
"π": lambda k: f"https://en.wikipedia.org/wiki/{quote(k)}",
"π": lambda k: f"https://www.google.com/search?q={quote(k)}",
"π₯": lambda k: f"https://www.youtube.com/results?search_query={quote(k)}",
}
links_md = ' '.join([f"<a href='{url(k)}' target='_blank'>{emoji}</a>" for emoji, url in search_urls.items()])
st.markdown(f"{k} {links_md}", unsafe_allow_html=True)
def create_zip_of_files(files):
zip_name = "all_files.zip"
with zipfile.ZipFile(zip_name, 'w') as zipf:
for file in files:
zipf.write(file)
return zip_name
def get_video_html(video_path, width="100%"):
video_url = f"data:video/mp4;base64,{base64.b64encode(open(video_path, 'rb').read()).decode()}"
return f'''
<video width="{width}" controls autoplay loop>
<source src="{video_url}" type="video/mp4">
Your browser does not support the video tag.
</video>
'''
def get_audio_html(audio_path, width="100%"):
audio_url = f"data:audio/mpeg;base64,{base64.b64encode(open(audio_path, 'rb').read()).decode()}"
return f'''
<audio controls style="width:{width}">
<source src="{audio_url}" type="audio/mpeg">
Your browser does not support the audio element.
</audio>
'''
# Cosmos DB functions
def get_databases(client):
return [db['id'] for db in client.list_databases()]
def get_containers(database):
return [container['id'] for container in database.list_containers()]
def get_documents(container, limit=None):
query = "SELECT * FROM c ORDER BY c._ts DESC"
items = list(container.query_items(query=query, enable_cross_partition_query=True, max_item_count=limit))
return items
def insert_record(container, record):
try:
container.create_item(body=record)
return True, "Record inserted successfully! π"
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {str(e)} π±"
def update_record(container, updated_record):
try:
container.upsert_item(body=updated_record)
return True, f"Record with id {updated_record['id']} successfully updated. π οΈ"
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {traceback.format_exc()} π±"
def delete_record(container, name, id):
try:
container.delete_item(item=id, partition_key=id)
return True, f"Successfully deleted record with name: {name} and id: {id} ποΈ"
except exceptions.CosmosResourceNotFoundError:
return False, f"Record with id {id} not found. It may have been already deleted. π΅οΈββοΈ"
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {traceback.format_exc()} π±"
import uuid
def generate_unique_id():
return str(uuid.uuid4())
def save_to_cosmos_db(container, query, response1, response2):
max_retries = 5
base_wait_time = 0.1 # 100 ms
def generate_unique_id():
timestamp = datetime.utcnow().strftime('%Y%m%d%H%M%S%f')
unique_uuid = str(uuid.uuid4())
return f"{timestamp}-{unique_uuid}"
for attempt in range(max_retries):
try:
if container:
base_id = generate_unique_id()
record = {
"id": base_id,
"query": query,
"response1": response1,
"response2": response2,
"timestamp": datetime.utcnow().isoformat()
}
# Check if document with this ID exists
try:
existing_doc = container.read_item(item=base_id, partition_key=base_id)
# If it exists, append a random string to the ID
record["id"] = f"{base_id}-{str(uuid.uuid4())[:8]}"
except exceptions.CosmosResourceNotFoundError:
# If it doesn't exist, we can use the original ID
pass
container.upsert_item(body=record)
st.success(f"Record saved successfully with ID: {record['id']}")
st.session_state.documents = container.query_items(
query="SELECT * FROM c ORDER BY c._ts DESC",
enable_cross_partition_query=True
)
return
else:
st.error("Cosmos DB container is not initialized.")
return
except exceptions.CosmosHttpResponseError as e:
if e.status_code == 409: # Conflict error
wait_time = (2 ** attempt) * base_wait_time
st.warning(f"ID conflict occurred. Retrying in {wait_time:.2f} seconds... (Attempt {attempt + 1})")
time.sleep(wait_time)
else:
st.error(f"Error saving record to Cosmos DB: {e}")
return
except Exception as e:
st.error(f"An unexpected error occurred: {str(e)}")
return
st.error("Failed to save record after maximum retries.")
# Add dropdowns for model and database choices
def search_glossary(query):
st.markdown(f"### π Search Glossary for: `{query}`")
# Dropdown for model selection
model_options = ['mistralai/Mixtral-8x7B-Instruct-v0.1', 'mistralai/Mistral-7B-Instruct-v0.2', 'google/gemma-7b-it', 'None']
model_choice = st.selectbox('π§ Select LLM Model', options=model_options, index=1)
# Dropdown for database selection
database_options = ['Semantic Search', 'Arxiv Search - Latest - (EXPERIMENTAL)']
database_choice = st.selectbox('π Select Database', options=database_options, index=0)
# Run Button with Emoji
#if st.button("π Run"):
# π΅οΈββοΈ Searching the glossary for: query
all_results = ""
st.markdown(f"- {query}")
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM
#database_choice Literal['Semantic Search', 'Arxiv Search - Latest - (EXPERIMENTAL)'] Default: "Semantic Search"
#llm_model_picked Literal['mistralai/Mixtral-8x7B-Instruct-v0.1', 'mistralai/Mistral-7B-Instruct-v0.2', 'google/gemma-7b-it', 'None'] Default: "mistralai/Mistral-7B-Instruct-v0.2"
client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /ask_llm
result = client.predict(
prompt=query,
llm_model_picked="mistralai/Mixtral-8x7B-Instruct-v0.1",
stream_outputs=True,
api_name="/ask_llm"
)
st.markdown(result)
st.code(result, language="python", line_numbers=True)
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /ask_llm
result2 = client.predict(
prompt=query,
llm_model_picked="mistralai/Mistral-7B-Instruct-v0.2",
stream_outputs=True,
api_name="/ask_llm"
)
st.markdown(result2)
st.code(result2, language="python", line_numbers=True)
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /ask_llm
result3 = client.predict(
prompt=query,
llm_model_picked="google/gemma-7b-it",
stream_outputs=True,
api_name="/ask_llm"
)
st.markdown(result3)
st.code(result3, language="python", line_numbers=True)
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /update_with_rag_md
response2 = client.predict(
message=query, # str in 'parameter_13' Textbox component
llm_results_use=10,
database_choice="Semantic Search",
llm_model_picked="mistralai/Mistral-7B-Instruct-v0.2",
api_name="/update_with_rag_md"
) # update_with_rag_md Returns tuple of 2 elements [0] str The output value that appears in the "value_14" Markdown component. [1] str
st.markdown(response2[0])
st.code(response2[0], language="python", line_numbers=True, wrap_lines=True)
st.markdown(response2[1])
st.code(response2[1], language="python", line_numbers=True, wrap_lines=True)
# When saving results, pass the container
try:
save_to_cosmos_db(st.session_state.cosmos_container, query, result, result)
save_to_cosmos_db(st.session_state.cosmos_container, query, result2, result2)
save_to_cosmos_db(st.session_state.cosmos_container, query, result3, result3)
save_to_cosmos_db(st.session_state.cosmos_container, query, response2[0], response2[0])
save_to_cosmos_db(st.session_state.cosmos_container, query, response2[1], response2[1])
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {str(e)} π±"
try:
# Aggregate hyperlinks and show with emojis
hyperlinks = extract_hyperlinks([response1, response2])
st.markdown("### π Aggregated Hyperlinks")
for link in hyperlinks:
st.markdown(f"π [{link}]({link})")
# Show responses in a code format with line numbers
st.markdown("### π Response Outputs with Line Numbers")
st.code(f"Response 1: \n{format_with_line_numbers(response1)}\n\nResponse 2: \n{format_with_line_numbers(response2)}", language="json")
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {str(e)} π±"
# π€ Function to process text input
def process_text(text_input):
# π€ Processing text inputβtranslating human words into cosmic signals! π‘
if text_input:
if 'messages' not in st.session_state:
st.session_state.messages = []
st.session_state.messages.append({"role": "user", "content": text_input})
with st.chat_message("user"):
st.markdown(text_input)
with st.chat_message("assistant"):
search_glossary(text_input)
# π Function to generate a filename
def generate_filename(text, file_type):
# π Generate a filename based on the text input
safe_text = "".join(c if c.isalnum() or c in (' ', '.', '_') else '_' for c in text)
safe_text = "_".join(safe_text.strip().split())
filename = f"{safe_text}.{file_type}"
return filename
# π΅οΈββοΈ Function to extract markdown title
def extract_markdown_title(content):
# π΅οΈββοΈ Extracting markdown titleβfinding the headline in the cosmic news! π°
lines = content.splitlines()
for line in lines:
if line.startswith('#'):
return line.lstrip('#').strip()
return None
# πΎ Function to create and save a file
def create_and_save_file(content, file_type="md", prompt=None, is_image=False, should_save=True):
# πΎ Creating and saving a fileβcapturing cosmic wisdom! π
if not should_save:
return None
# Step 1: Generate filename based on the prompt or content
filename = generate_filename(prompt if prompt else content, file_type)
# Step 2: If it's a markdown file, check if it has a title
if file_type == "md":
title_from_content = extract_markdown_title(content)
if title_from_content:
filename = generate_filename(title_from_content, file_type)
# Step 3: Save the file
with open(filename, "w", encoding="utf-8") as f:
if is_image:
f.write(content)
else:
f.write(prompt + "\n\n" + content)
return filename
# π€ Function to insert an auto-generated record
def insert_auto_generated_record(container):
# π€ Automatically generating a record and inserting it into Cosmos DB!
try:
# Generate a unique id
new_id = generate_unique_id()
# Create a sample JSON document
new_doc = {
'id': new_id,
'name': f'Sample Name {new_id[:8]}',
'description': 'This is a sample auto-generated description.',
'timestamp': datetime.utcnow().isoformat()
}
# Insert the document
container.create_item(body=new_doc)
return True, f"Record inserted successfully with id: {new_id} π"
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {str(e)} π±"
# GitHub functions
def download_github_repo(url, local_path):
if os.path.exists(local_path):
shutil.rmtree(local_path)
Repo.clone_from(url, local_path)
def create_zip_file(source_dir, output_filename):
shutil.make_archive(output_filename, 'zip', source_dir)
def create_repo(g, repo_name):
user = g.get_user()
return user.create_repo(repo_name)
def push_to_github(local_path, repo, github_token):
repo_url = f"https://{github_token}@github.com/{repo.full_name}.git"
local_repo = Repo(local_path)
if 'origin' in [remote.name for remote in local_repo.remotes]:
origin = local_repo.remote('origin')
origin.set_url(repo_url)
else:
origin = local_repo.create_remote('origin', repo_url)
if not local_repo.heads:
local_repo.git.checkout('-b', 'main')
current_branch = 'main'
else:
current_branch = local_repo.active_branch.name
local_repo.git.add(A=True)
if local_repo.is_dirty():
local_repo.git.commit('-m', 'Initial commit')
origin.push(refspec=f'{current_branch}:{current_branch}')
# Main function
def main():
st.title("πGitπCosmosπ« - Azure Cosmos DB and Github Agent")
# Initialize session state
if 'logged_in' not in st.session_state:
st.session_state.logged_in = False
if 'selected_records' not in st.session_state:
st.session_state.selected_records = []
if 'client' not in st.session_state:
st.session_state.client = None
if 'selected_database' not in st.session_state:
st.session_state.selected_database = None
if 'selected_container' not in st.session_state:
st.session_state.selected_container = None
if 'selected_document_id' not in st.session_state:
st.session_state.selected_document_id = None
if 'current_index' not in st.session_state:
st.session_state.current_index = 0
if 'cloned_doc' not in st.session_state:
st.session_state.cloned_doc = None
# βοΈ q= Run ArXiv search from query parameters
try:
query_params = st.query_params
query = query_params.get('q') or query_params.get('query') or ''
if query:
# π΅οΈββοΈ We have a query! Let's process it!
process_text(query)
st.stop() # Stop further execution
except Exception as e:
st.markdown(' ')
# Automatic Login
if Key:
st.session_state.primary_key = Key
st.session_state.logged_in = True
else:
st.error("Cosmos DB Key is not set in environment variables. πβ")
return
if st.session_state.logged_in:
# Initialize Cosmos DB client
try:
if st.session_state.client is None:
st.session_state.client = CosmosClient(ENDPOINT, credential=st.session_state.primary_key)
# Sidebar for database, container, and document selection
st.sidebar.title("πGitπCosmosπ«ποΈNavigator")
databases = get_databases(st.session_state.client)
selected_db = st.sidebar.selectbox("ποΈ Select Database", databases)
if selected_db != st.session_state.selected_database:
st.session_state.selected_database = selected_db
st.session_state.selected_container = None
st.session_state.selected_document_id = None
st.session_state.current_index = 0
st.rerun()
if st.session_state.selected_database:
database = st.session_state.client.get_database_client(st.session_state.selected_database)
containers = get_containers(database)
selected_container = st.sidebar.selectbox("π Select Container", containers)
if selected_container != st.session_state.selected_container:
st.session_state.selected_container = selected_container
st.session_state.selected_document_id = None
st.session_state.current_index = 0
st.rerun()
if st.session_state.selected_container:
container = database.get_container_client(st.session_state.selected_container)
# Add Export button
if st.button("π¦ Export Container Data"):
download_link = archive_current_container(st.session_state.selected_database, st.session_state.selected_container, st.session_state.client)
if download_link.startswith('<a'):
st.markdown(download_link, unsafe_allow_html=True)
else:
st.error(download_link)
# Fetch documents
documents = get_documents(container)
total_docs = len(documents)
if total_docs > 5:
documents_to_display = documents[:5]
st.info("Showing top 5 most recent documents.")
else:
documents_to_display = documents
st.info(f"Showing all {len(documents_to_display)} documents.")
if documents_to_display:
# Add Viewer/Editor selection
view_options = ['Show as Markdown', 'Show as Code Editor', 'Show as Edit and Save', 'Clone Document', 'New Record']
selected_view = st.selectbox("Select Viewer/Editor", view_options, index=2)
if selected_view == 'Show as Markdown':
# Show each record as Markdown with navigation
total_docs = len(documents)
doc = documents[st.session_state.current_index]
st.markdown(f"#### Document ID: {doc.get('id', '')}")
# Extract values from the JSON that have at least one space
values_with_space = []
def extract_values(obj):
if isinstance(obj, dict):
for k, v in obj.items():
extract_values(v)
elif isinstance(obj, list):
for item in obj:
extract_values(item)
elif isinstance(obj, str):
if ' ' in obj:
values_with_space.append(obj)
extract_values(doc)
# Create a list of links for these values
st.markdown("#### π Links for Extracted Texts")
for term in values_with_space:
display_glossary_entity(term)
# Show the document content as markdown
content = json.dumps(doc, indent=2)
st.markdown(f"```json\n{content}\n```")
# Navigation buttons
col_prev, col_next = st.columns([1, 1])
with col_prev:
if st.button("β¬
οΈ Previous", key='prev_markdown'):
if st.session_state.current_index > 0:
st.session_state.current_index -= 1
st.rerun()
with col_next:
if st.button("β‘οΈ Next", key='next_markdown'):
if st.session_state.current_index < total_docs - 1:
st.session_state.current_index += 1
st.rerun()
elif selected_view == 'Show as Code Editor':
# Show each record in a code editor with navigation
total_docs = len(documents)
doc = documents[st.session_state.current_index]
st.markdown(f"#### Document ID: {doc.get('id', '')}")
doc_str = st.text_area("Edit Document", value=json.dumps(doc, indent=2), height=300, key=f'code_editor_{st.session_state.current_index}')
col_prev, col_next = st.columns([1, 1])
with col_prev:
if st.button("β¬
οΈ Previous", key='prev_code'):
if st.session_state.current_index > 0:
st.session_state.current_index -= 1
st.rerun()
with col_next:
if st.button("β‘οΈ Next", key='next_code'):
if st.session_state.current_index < total_docs - 1:
st.session_state.current_index += 1
st.rerun()
if st.button("πΎ Save Changes", key=f'save_button_{st.session_state.current_index}'):
try:
updated_doc = json.loads(doc_str)
success, message = update_record(container, updated_doc)
if success:
st.success(f"Document {updated_doc['id']} saved successfully.")
st.session_state.selected_document_id = updated_doc['id']
st.rerun()
else:
st.error(message)
except json.JSONDecodeError as e:
st.error(f"Invalid JSON: {str(e)} π«")
elif selected_view == 'Show as Edit and Save':
# Show as Edit and Save in columns
st.markdown("#### Edit the document fields below:")
# Create columns for each document
num_cols = len(documents_to_display)
cols = st.columns(num_cols)
for idx, (col, doc) in enumerate(zip(cols, documents_to_display)):
with col:
st.markdown(f"##### Document ID: {doc.get('id', '')}")
editable_id = st.text_input("ID", value=doc.get('id', ''), key=f'edit_id_{idx}')
# Remove 'id' from the document for editing other fields
editable_doc = doc.copy()
editable_doc.pop('id', None)
doc_str = st.text_area("Document Content (in JSON format)", value=json.dumps(editable_doc, indent=2), height=300, key=f'doc_str_{idx}')
# Add the "Run With AI" button next to "Save Changes"
col_save, col_ai = st.columns(2)
with col_save:
if st.button("πΎ Save Changes", key=f'save_button_{idx}'):
try:
updated_doc = json.loads(doc_str)
updated_doc['id'] = editable_id # Include the possibly edited ID
success, message = update_record(container, updated_doc)
if success:
st.success(f"Document {updated_doc['id']} saved successfully.")
st.session_state.selected_document_id = updated_doc['id']
st.rerun()
else:
st.error(message)
except json.JSONDecodeError as e:
st.error(f"Invalid JSON: {str(e)} π«")
with col_ai:
if st.button("π€ Run With AI", key=f'run_with_ai_button_{idx}'):
# Use the entire document as input
search_glossary(json.dumps(editable_doc, indent=2))
elif selected_view == 'Clone Document':
# Clone Document per record
st.markdown("#### Clone a document:")
for idx, doc in enumerate(documents_to_display):
st.markdown(f"##### Document ID: {doc.get('id', '')}")
if st.button("π Clone Document", key=f'clone_button_{idx}'):
cloned_doc = doc.copy()
# Generate a unique ID
cloned_doc['id'] = generate_unique_id()
st.session_state.cloned_doc = cloned_doc
st.session_state.cloned_doc_str = json.dumps(cloned_doc, indent=2)
st.session_state.clone_mode = True
st.rerun()
if st.session_state.get('clone_mode', False):
st.markdown("#### Edit Cloned Document:")
cloned_doc_str = st.text_area("Cloned Document Content (in JSON format)", value=st.session_state.cloned_doc_str, height=300)
if st.button("πΎ Save Cloned Document"):
try:
new_doc = json.loads(cloned_doc_str)
success, message = insert_record(container, new_doc)
if success:
st.success(f"Cloned document saved with id: {new_doc['id']} π")
st.session_state.selected_document_id = new_doc['id']
st.session_state.clone_mode = False
st.session_state.cloned_doc = None
st.session_state.cloned_doc_str = ''
st.rerun()
else:
st.error(message)
except json.JSONDecodeError as e:
st.error(f"Invalid JSON: {str(e)} π«")
elif selected_view == 'New Record':
# New Record
st.markdown("#### Create a new document:")
if st.button("π€ Insert Auto-Generated Record"):
success, message = insert_auto_generated_record(container)
if success:
st.success(message)
st.rerun()
else:
st.error(message)
else:
new_id = st.text_input("ID", value=generate_unique_id(), key='new_id')
new_doc_str = st.text_area("Document Content (in JSON format)", value='{}', height=300)
if st.button("β Create New Document"):
try:
new_doc = json.loads(new_doc_str)
new_doc['id'] = new_id # Use the provided ID
success, message = insert_record(container, new_doc)
if success:
st.success(f"New document created with id: {new_doc['id']} π")
st.session_state.selected_document_id = new_doc['id']
# Switch to 'Show as Edit and Save' mode
st.rerun()
else:
st.error(message)
except json.JSONDecodeError as e:
st.error(f"Invalid JSON: {str(e)} π«")
else:
st.sidebar.info("No documents found in this container. π")
# Main content area
st.subheader(f"π Container: {st.session_state.selected_container}")
if st.session_state.selected_container:
if documents_to_display:
df = pd.DataFrame(documents_to_display)
st.dataframe(df)
else:
st.info("No documents to display. π§")
# GitHub section
st.subheader("π GitHub Operations")
github_token = os.environ.get("GITHUB") # Read GitHub token from environment variable
source_repo = st.text_input("Source GitHub Repository URL", value="https://github.com/AaronCWacker/AIExamples-8-24-Streamlit")
new_repo_name = st.text_input("New Repository Name (for cloning)", value=f"AIExample-Clone-{datetime.now().strftime('%Y%m%d_%H%M%S')}")
col1, col2 = st.columns(2)
with col1:
if st.button("π₯ Clone Repository"):
if github_token and source_repo:
try:
local_path = f"./temp_repo_{datetime.now().strftime('%Y%m%d%H%M%S')}"
download_github_repo(source_repo, local_path)
zip_filename = f"{new_repo_name}.zip"
create_zip_file(local_path, zip_filename[:-4])
st.markdown(get_download_link(zip_filename), unsafe_allow_html=True)
st.success("Repository cloned successfully! π")
except Exception as e:
st.error(f"An error occurred: {str(e)} π’")
finally:
if os.path.exists(local_path):
shutil.rmtree(local_path)
if os.path.exists(zip_filename):
os.remove(zip_filename)
else:
st.error("Please ensure GitHub token is set in environment variables and source repository URL is provided. πβ")
with col2:
if st.button("π€ Push to New Repository"):
if github_token and source_repo:
try:
g = Github(github_token)
new_repo = create_repo(g, new_repo_name)
local_path = f"./temp_repo_{datetime.now().strftime('%Y%m%d%H%M%S')}"
download_github_repo(source_repo, local_path)
push_to_github(local_path, new_repo, github_token)
st.success(f"Repository pushed successfully to {new_repo.html_url} π")
except Exception as e:
st.error(f"An error occurred: {str(e)} π’")
finally:
if os.path.exists(local_path):
shutil.rmtree(local_path)
else:
st.error("Please ensure GitHub token is set in environment variables and source repository URL is provided. πβ")
# Chat with Claude
st.subheader("π¬ Chat with Claude")
user_input = st.text_area("Message π¨:", height=100)
if st.button("Send π¨"):
if user_input:
response = client.messages.create(
model="claude-3-sonnet-20240229",
max_tokens=1000,
messages=[
{"role": "user", "content": user_input}
]
)
st.write("Claude's reply π§ :")
st.write(response.content[0].text)
filename = generate_filename(user_input, "md")
create_file(filename, user_input, response.content[0].text)
st.session_state.chat_history.append({"user": user_input, "claude": response.content[0].text})
# Save to Cosmos DB
save_to_cosmos_db(container, user_input, response.content[0].text, "")
# Display Chat History
st.subheader("Past Conversations π")
for chat in st.session_state.chat_history:
st.text_area("You said π¬:", chat["user"], height=100, disabled=True)
st.text_area("Claude replied π€:", chat["claude"], height=200, disabled=True)
st.markdown("---")
# File Editor
if hasattr(st.session_state, 'current_file'):
st.subheader(f"Editing: {st.session_state.current_file} π ")
new_content = st.text_area("File Content βοΈ:", st.session_state.file_content, height=300)
if st.button("Save Changes πΎ"):
with open(st.session_state.current_file, 'w', encoding='utf-8') as file:
file.write(new_content)
st.success("File updated successfully! π")
# File Management
st.sidebar.title("π File Management")
all_files = glob.glob("*.md")
all_files.sort(reverse=True)
if st.sidebar.button("π Delete All Files"):
for file in all_files:
os.remove(file)
st.rerun()
if st.sidebar.button("β¬οΈ Download All Files"):
zip_file = create_zip_of_files(all_files)
st.sidebar.markdown(get_download_link(zip_file), unsafe_allow_html=True)
for file in all_files:
col1, col2, col3, col4 = st.sidebar.columns([1,3,1,1])
with col1:
if st.button("π", key="view_"+file):
st.session_state.current_file = file
st.session_state.file_content = load_file(file)
with col2:
st.markdown(get_download_link(file), unsafe_allow_html=True)
with col3:
if st.button("π", key="edit_"+file):
st.session_state.current_file = file
st.session_state.file_content = load_file(file)
with col4:
if st.button("π", key="delete_"+file):
os.remove(file)
st.rerun()
except exceptions.CosmosHttpResponseError as e:
st.error(f"Failed to connect to Cosmos DB. HTTP error: {str(e)} π¨")
except Exception as e:
st.error(f"An unexpected error occurred: {str(e)} π±")
# Logout button
if st.session_state.logged_in and st.sidebar.button("πͺ Logout"):
st.session_state.logged_in = False
st.session_state.selected_records.clear()
st.session_state.client = None
st.session_state.selected_database = None
st.session_state.selected_container = None
st.session_state.selected_document_id = None
st.session_state.current_index = 0
st.rerun()
if __name__ == "__main__":
main() |