Update app.py

app.py

@@ -19,7 +19,45 @@ async def main():
     await launch_bot()
 
 if __name__ == "__main__":
-   st.set_page_config(page_title="Menarini Assistant", layout="wide")
+   st.set_page_config(page_title="Proa Capital Assistant", layout="wide")
+       # Load external CSS for custom styling
+    with open("style.css", "r") as f:
+        st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html=True)
+
+    # Main UI layout
+    st.markdown(
+        """
+        <h1>Welcome to the Proa Capital Assistant</h1>
+
+        <div class="icon-container">
+            <!-- This yellowish box is the icon background -->
+            <div class="icon-box">💼</div>
+            <p class="icon-text">How may I help you?</p>
+        </div>
+
+        <h4>Add additional files here</h4>
+        """,
+        unsafe_allow_html=True
+    )
+
+    # Fetch credentials from environment variables
+    customer_id = os.getenv("VECTARA_CUSTOMER_ID", "")
+    api_key = os.getenv("VECTARA_API_KEY", "")
+    corpus_id = os.getenv("VECTARA_CORPUS_ID", "")
+    corpus_key = os.getenv("VECTARA_CORPUS_KEY", "")
+
+    # File uploader with drag-and-drop text + limit note
+    uploaded_files = st.file_uploader(
+        "Drag and drop file here\nLimit 200MB per file",
+        type=["pdf", "docx", "xlsx"],
+        accept_multiple_files=True
+    )
+
+    # If credentials exist and files are uploaded, handle them
+    if uploaded_files and customer_id and api_key and corpus_id and corpus_key:
+        for file in uploaded_files:
+            response = upload_file_to_vectara(file, customer_id, api_key, corpus_key)
+            st.write(f"Uploaded {file.name}: {response}")
 
    nest_asyncio.apply()
    asyncio.run(main())