adding image in code

app.py

@@ -9,24 +9,32 @@ insert_data_if_empty()
 # Connect to MongoDB (optional: for additional visualizations)
 collection = get_mongo_client()
 
-st.subheader("💬 Chatbot with Sentiment Analysis & Category Extraction")
-
-# Create an expander to display example questions on separate lines.
-with st.expander("👋 Hi, allow me to help you with prompts:"):
-    st.write("💡 Provide analysis for data entry 1 in the dataset")
-    st.write("💡 What is the dataset summary?")
-
-# Text area for user input.
-user_prompt = st.text_area("Ask me something:")
-
-if st.button("Get Response"):
-    ai_response, sentiment_label, sentiment_confidence, topic_label, topic_confidence = chatbot_response(user_prompt)
-    if ai_response:
-        st.write("### Response:")
-        st.markdown(ai_response)
-        st.write("### Sentiment Analysis:")
-        st.write(f"**Sentiment Detected:** {sentiment_label} ({sentiment_confidence:.2f} confidence)")
-        st.write("### Category Extraction:")
-        st.write(f"**Category Detected:** {topic_label} ({topic_confidence:.2f} confidence)")
-    else:
-        st.warning("⚠️ Please enter a question or text for analysis.")
+# Create a two-column layout: left for the image, right for the chatbot UI.
+col1, col2 = st.columns([1, 3])
+
+with col1:
+    st.image("https://huggingface.co/spaces/sharangrav24/SentimentAnalysis/resolve/main/sentiment.png", use_column_width=True)
+
+with col2:
+    st.subheader("💬 Chatbot with Sentiment Analysis & Category Extraction")
+
+    # Create an expander to display example questions on separate lines.
+    with st.expander("👋 Hi, allow me to help you with prompts:"):
+        st.write("💡 Provide analysis for data entry 1 in the dataset")
+        st.write("💡 What is the dataset summary?")
+        st.write("💡 or just ask me something of your own, I'll be happy to help 😊")
+
+    # Text area for user input.
+    user_prompt = st.text_area("Ask me something:")
+
+    if st.button("Get Response"):
+        ai_response, sentiment_label, sentiment_confidence, topic_label, topic_confidence = chatbot_response(user_prompt)
+        if ai_response:
+            st.write("### Response:")
+            st.markdown(ai_response)
+            st.write("### Sentiment Analysis:")
+            st.write(f"**Sentiment Detected:** {sentiment_label} ({sentiment_confidence*100:.2f}% confidence)")
+            st.write("### Category Extraction:")
+            st.write(f"**Category Detected:** {topic_label} ({topic_confidence*100:.2f}% confidence)")
+        else:
+            st.warning("⚠️ Please enter a question or text for analysis.")