fix: Update logo configuration and fix Streamlit deprecation warning

- Update logo path to use frontend/Oracle logo.png
- Increase logo width from 100px to 200px for better visibility
- Fix header rendering to use Streamlit native components
- Remove deprecated use_container_width parameter from st.image()
- Add Oracle logo file to repository

Author: varunyn

ai/generative-ai-service/cx-conversations-analysis/files/app/config.py

@@ -16,7 +16,7 @@
 SPEECH_BUCKET_OUTPUT_PREFIX = "speech_output"
 
 ## Other config params
-ORACLE_LOGO = "app_images/oracle_logo.png"
+ORACLE_LOGO = "frontend/Oracle logo.png"
 UPLOAD_PATH = "uploaded_files"
 GENAI_MODELS = {
     "OpenAI GPT-OSS 120b": "openai.gpt-oss-120b",

ai/generative-ai-service/cx-conversations-analysis/files/app/frontend/Oracle logo.png

@@ -78,32 +78,25 @@ def encode_logo():
 
 def render_header():
     """
-    Use the .main-header / .header-content / .oracle-logo styles
-    from styles.css.
+    Render header using Streamlit native components for better compatibility.
     """
     logo_b64 = encode_logo()
-    logo_html = ""
-    if logo_b64:
-        logo_html = (
-            f'<img src="data:image/png;base64,{logo_b64}" '
-            f'class="oracle-logo" alt="Oracle logo" />'
+    
+    # Use columns for centered layout
+    col1, col2, col3 = st.columns([1, 2, 1])
+    
+    with col2:
+        if logo_b64:
+            st.image(
+                f"data:image/png;base64,{logo_b64}",
+                width=200
+            )
+        st.markdown("### Audio Call Analyzer")
+        st.markdown(
+            "Upload one or more calls, generate diarized transcripts and LLM-powered "
+            "summaries, and explore batch-level insights."
         )
-
-    st.markdown(
-        f"""
-        <header class="main-header">
-            <div class="header-content">
-                {logo_html}
-                <h1>Audio Call Analyzer</h1>
-                <p>
-                    Upload one or more calls, generate diarized transcripts and LLM-powered
-                    summaries, and explore batch-level insights.
-                </p>
-            </div>
-        </header>
-        """,
-        unsafe_allow_html=True,
-    )
+        st.markdown("---")
 
 
 def parse_llm_json(raw_summary: str):