Update app.py

app.py

@@ -1,55 +1,44 @@
+# Importing required packages
 import streamlit as st
-from huggingface_hub import Repository
 import openai
-import os
 import uuid
 import time
 
-# Step 1: Clone the Dataset Repository
-repo = Repository(
-    local_dir="Test_csv",  # Local directory to clone the repository
-    repo_type="dataset",  
-    clone_from="Anne31415/Test_csv", 
-    token=os.environ["HUB_TOKEN"]  # Token for authentication
-)
-repo.git_pull()  # Pull the latest changes (if any)
+from openai import OpenAI
 
-file_path = "Test_csv/Basic_Info_GrunddatenKH141123.csv" 
 
+client = OpenAI(api_key="Hier deienen OPENAI-API-KEY einfügen")
 
-from openai import OpenAI
-client = OpenAI()
 
-# Select the preferred model
 MODEL = "gpt-4-1106-preview"
 
-if "session_id" not in st.session_state: # Used to identify each session
+
+if "session_id" not in st.session_state:
     st.session_state.session_id = str(uuid.uuid4())
 
-if "run" not in st.session_state: # Stores the run state of the assistant
+if "run" not in st.session_state:
     st.session_state.run = {"status": None}
 
-if "messages" not in st.session_state: # Stores the messages of the assistant
+if "messages" not in st.session_state:
     st.session_state.messages = []
 
-if "retry_error" not in st.session_state: # Used for error handling
+if "retry_error" not in st.session_state:
     st.session_state.retry_error = 0
 
-
-st.set_page_config(page_title="Learn Wardley Mapping")
-st.sidebar.title("Learn Wardley Mapping")
-st.sidebar.divider()
-st.sidebar.markdown("Developed by Mark Craddock](https://twitter.com/mcraddock)", unsafe_allow_html=True)
-st.sidebar.markdown("Current Version: 0.0.3")
-st.sidebar.markdown("Using gpt-4-1106-preview API")
+st.set_page_config(page_title="OpenAI - Assistent API")
+st.sidebar.title("OpenAI - Assistant API🤖")
+st.sidebar.markdown("**Model:** gpt-4-1106-preview API")
+st.sidebar.markdown("**Version:** 1.1")
+st.sidebar.markdown("**Session-ID:**")
 st.sidebar.markdown(st.session_state.session_id)
 st.sidebar.divider()
+st.title("Assitent-Name")
+st.text("Beschreibung")
 
 if "assistant" not in st.session_state:
-    openai.api_key = st.secrets["OPENAI_API_KEY"]
-
+    openai.api_key = "Hier deinen OPENAI-API-KEY einfügen"
     # Load the previously created assistant
-    st.session_state.assistant = openai.beta.assistants.retrieve(st.secrets["assistant_id"])
+    st.session_state.assistant = openai.beta.assistants.retrieve("Hier deine ASSISTENT-ID Einfügen")
 
     # Create a new thread for this session
     st.session_state.thread = client.beta.threads.create(
@@ -57,8 +46,7 @@ if "assistant" not in st.session_state:
             'session_id': st.session_state.session_id,
         }
     )
-
-    
+ 
 # If the run is completed, display the messages
 elif hasattr(st.session_state.run, 'status') and st.session_state.run.status == "completed":
     # Retrieve the list of messages
@@ -66,40 +54,15 @@ elif hasattr(st.session_state.run, 'status') and st.session_state.run.status ==
         thread_id=st.session_state.thread.id
     )
 
-# Display sources
-    for thread_message in st.session_state.messages.data:
-        for message_content in thread_message.content:
-            # Access the actual text content
-            message_content = message_content.text
-            annotations = message_content.annotations
-            citations = []
-            
-            # Iterate over the annotations and add footnotes
-            for index, annotation in enumerate(annotations):
-                # Replace the text with a footnote
-                message_content.value = message_content.value.replace(annotation.text, f' [{index}]')
-            
-                # Gather citations based on annotation attributes
-                if (file_citation := getattr(annotation, 'file_citation', None)):
-                    cited_file = client.files.retrieve(file_citation.file_id)
-                    citations.append(f'[{index}] {file_citation.quote} from {cited_file.filename}')
-                elif (file_path := getattr(annotation, 'file_path', None)):
-                    cited_file = client.files.retrieve(file_path.file_id)
-                    citations.append(f'[{index}] Click <here> to download {cited_file.filename}')
-                    # Note: File download functionality not implemented above for brevity
-
-            # Add footnotes to the end of the message before displaying to user
-            message_content.value += '\n' + '\n'.join(citations)
-
-# Display messages
+    # Display messages
     for message in reversed(st.session_state.messages.data):
         if message.role in ["user", "assistant"]:
             with st.chat_message(message.role):
                 for content_part in message.content:
                     message_text = content_part.text.value
-                    st.markdown(message_text)       
+                    st.markdown(message_text)
 
-if prompt := st.chat_input("How can I help you?"):
+if prompt := st.chat_input("Wie kann ich dir helfen?"):
     with st.chat_message('user'):
         st.write(prompt)
 
@@ -110,7 +73,7 @@ if prompt := st.chat_input("How can I help you?"):
         content=prompt
     )
 
-# Do a run to process the messages in the thread
+    # Do a run to process the messages in the thread
     st.session_state.run = client.beta.threads.runs.create(
         thread_id=st.session_state.thread.id,
         assistant_id=st.session_state.assistant.id,
@@ -118,7 +81,7 @@ if prompt := st.chat_input("How can I help you?"):
     if st.session_state.retry_error < 3:
         time.sleep(1) # Wait 1 second before checking run status
         st.rerun()
-
+                    
 # Check if 'run' object has 'status' attribute
 if hasattr(st.session_state.run, 'status'):
     # Handle the 'running' status
@@ -150,6 +113,3 @@ if hasattr(st.session_state.run, 'status'):
         if st.session_state.retry_error < 3:
             time.sleep(3)
             st.rerun()
-
-
-