Upload streamlit_app.py with huggingface_hub

streamlit_app.py

@@ -1,11 +1,11 @@
 import streamlit as st
-from daggr import GradioNode, InferenceNode, FnNode, Graph
+from daggr import FnNode, Graph
 import gradio as gr
 from typing import Dict, Any
-import requests
 import os
 import time
 from datetime import datetime
+from utils import validate_metadata, log_workflow
 
 # Set page config
 st.set_page_config(
@@ -21,12 +21,6 @@ st.sidebar.markdown("[Built with anycoder](https://huggingface.co/spaces/akhaliq
 if 'workflow_results' not in st.session_state:
     st.session_state.workflow_results = None
 
-# Environment variables for API keys
-API_KEYS = {
-    "OPENAI": os.getenv("OPENAI_API_KEY"),
-    "HUGGINGFACE": os.getenv("HF_API_KEY")
-}
-
 # ========== Nodes Definition ==========
 def preprocess_inputs(user_input: str, metadata: Dict[str, Any]) -> Dict[str, Any]:
     """Clean and validate inputs with metadata enrichment"""
@@ -181,7 +175,7 @@ with st.form("workflow_form"):
                 # Prepare inputs
                 inputs = {
                     "user_input": user_input,
-                    "metadata": metadata,
+                    "metadata": validate_metadata(metadata),
                     "temperature": temperature,
                     "steps": steps
                 }
@@ -189,6 +183,7 @@ with st.form("workflow_form"):
                 # Execute workflow
                 results = workflow.run(inputs)
                 st.session_state.workflow_results = results
+                log_workflow(results)
                 
                 st.success("Workflow completed successfully!")