Added Streamlit interface for eval.py

app.py

@@ -1,19 +1,25 @@
 import streamlit as st
-import requests
+import os
+import subprocess
 
-# Title of the app
-st.title("Backend API Test")
-st.write("This app interacts with the backend to generate output.")
+# Title
+st.title("Multimodal Garment Designer")
 
-# Input from the user
-input_data = st.text_input("Enter Input Data:", "")
+# Input fields
+dataset_path = st.text_input("Dataset Path:", "./assets/data/dresscode")
+output_dir = st.text_input("Output Directory:", "./output")
+test_order = st.selectbox("Test Order:", ["paired", "unpaired"])
+save_name = st.text_input("Save Name:", "model_output")
 
-if st.button("Generate"):
-    # Make a POST request to your backend
-    response = requests.post("http://127.0.0.1:8000/predict", json={"input_data": input_data})
+# Button to run the eval script
+if st.button("Run Evaluation"):
+    # Construct the command
+    command = f"python eval.py --output_dir {output_dir} --dataset_path {dataset_path} --test_order {test_order} --save_name {save_name}"
 
-    # Handle the response
-    if response.status_code == 200:
-        st.write("Result:", response.json().get("result", "No result found"))
-    else:
-        st.error(f"Error: {response.status_code} - {response.text}")
+    # Run the command
+    with st.spinner("Running evaluation..."):
+        result = subprocess.run(command, shell=True, capture_output=True, text=True)
+
+    # Display the result
+    st.code(result.stdout)
+    st.code(result.stderr)