Update frontend.py

frontend.py

@@ -15,7 +15,7 @@ logo_path = "logo.png"
 if os.path.exists(logo_path):
     st.image(logo_path, width=160)
 
-# Session State
+# Session State defaults
 if "review" not in st.session_state:
     st.session_state.review = ""
 if "dark_mode" not in st.session_state:
@@ -31,21 +31,14 @@ if st.session_state.dark_mode:
             background-color: #1e1e1e;
             color: #f5f5f5;
         }
-        .stTextInput > div > div > input, .stTextArea > div > textarea {
-            background-color: #2b2b2b;
-            color: white;
+        .stTextInput input, .stTextArea textarea, .stSelectbox div, .stButton button, .stRadio div {
+            background-color: #2c2c2c !important;
+            color: white !important;
         }
-        .stButton > button {
-            background-color: #333;
-            color: white;
-        }
-        .stDownloadButton > button {
-            background-color: #444;
-            color: white;
-        }
-        .stSelectbox, .stCheckbox, .stRadio, .stFileUploader {
-            background-color: #2b2b2b;
-            color: white;
+        .stToggle {
+            border: 1px solid #555;
+            border-radius: 10px;
+            padding: 5px;
         }
         </style>
     """, unsafe_allow_html=True)
@@ -65,26 +58,23 @@ with st.sidebar:
     ])
 
     industry = st.selectbox("🏭 Industry", [
-        "Auto-detect", "Generic", "E-commerce", "Healthcare", "Education", "Travel", "Banking", "Insurance", "Gaming", "Food Delivery", "Real Estate", "Fitness", "Entertainment"
+        "Auto-detect", "Generic", "E-commerce", "Healthcare", "Education", "Travel", "Banking", "Insurance", 
+        "Gaming", "Food Delivery", "Real Estate", "Fitness", "Entertainment"
     ])
 
     product_category = st.selectbox("🧩 Product Category", [
-        "Auto-detect", "General", "Mobile Devices", "Laptops", "Healthcare Devices", "Banking App", "Travel Service", "Educational Tool", "Insurance Portal", "Streaming App", "Wearables", "Home Appliances", "Food Apps"
-    ])
-
-    device_type = st.selectbox("💻 Device", [
-        "Auto-detect", "Web", "Android", "iOS", "Desktop", "Smartwatch", "Kiosk"
+        "Auto-detect", "General", "Mobile Devices", "Laptops", "Healthcare Devices", "Banking App", "Travel Service",
+        "Educational Tool", "Insurance Portal", "Streaming App", "Wearables", "Home Appliances", "Food Apps"
     ])
 
     use_aspects = st.checkbox("🔬 Enable Aspect Analysis")
     use_smart_summary = st.checkbox("🧠 Smart Summary (Single)")
     use_smart_summary_bulk = st.checkbox("🧠 Smart Summary for Bulk")
-
     verbosity = st.radio("🗣️ Response Style", ["Brief", "Detailed"])
     follow_up = st.text_input("🔁 Follow-up Question")
     voice_lang = st.selectbox("🔈 Voice Language", ["en", "fr", "es", "de", "hi", "zh"])
 
-# Text-to-Speech Helper
+# Text-to-Speech
 def speak(text, lang='en'):
     tts = gTTS(text, lang=lang)
     mp3 = BytesIO()
@@ -94,10 +84,9 @@ def speak(text, lang='en'):
     mp3.seek(0)
     return mp3
 
-# Tabs
 tab1, tab2 = st.tabs(["🧠 Single Review", "📚 Bulk CSV"])
 
-# --- SINGLE ---
+# --- SINGLE REVIEW ---
 with tab1:
     st.title("🧠 NeuroPulse AI – Multimodal Review Analyzer")
     st.markdown("<div style='font-size:16px;color:#aaa;'>Minimum 50–100 words recommended.</div>", unsafe_allow_html=True)
@@ -122,20 +111,21 @@ with tab1:
         else:
             with st.spinner("Analyzing..."):
                 try:
+                    clean_industry = "Generic" if industry == "Auto-detect" else industry
+                    clean_category = "General" if product_category == "Auto-detect" else product_category
+
                     payload = {
                         "text": review,
                         "model": sentiment_model,
-                        "industry": industry,
+                        "industry": clean_industry,
                         "aspects": use_aspects,
                         "follow_up": follow_up,
-                        "product_category": product_category,
-                        "device": device_type,
+                        "product_category": clean_category,
                         "verbosity": verbosity,
                         "intelligence": st.session_state.intelligence_mode
                     }
                     headers = {"x-api-key": api_token}
-                    params = {"smart": "1"} if use_smart_summary else {}
-                    res = requests.post(f"{backend_url}/analyze/", json=payload, headers=headers, params=params)
+                    res = requests.post(f"{backend_url}/analyze/", json=payload, headers=headers)
 
                     if res.status_code == 200:
                         data = res.json()
@@ -143,7 +133,7 @@ with tab1:
                         st.subheader("📌 Summary")
                         st.info(data["summary"])
                         st.caption(f"🧠 Summary Type: {'Smart' if use_smart_summary else 'Standard'}")
-                        st.markdown(f"**Context:** {industry} | {product_category} | {device_type}")
+                        st.markdown(f"**Context:** {clean_industry} | {clean_category}")
                         st.subheader("🔊 Audio")
                         audio = speak(data["summary"], lang=voice_lang)
                         st.download_button("⬇️ Download Summary Audio", audio.read(), "summary.mp3", mime="audio/mp3")
@@ -161,15 +151,16 @@ with tab1:
                             st.markdown(data["explanation"])
                     else:
                         st.error(f"❌ API Error {res.status_code}: {res.json().get('detail', 'Unknown error')}")
+
                 except Exception as e:
                     st.error(f"🚫 Exception occurred: {e}")
 
-# --- BULK ---
+# --- BULK CSV UPLOAD ---
 with tab2:
     st.title("📚 Bulk CSV Upload")
     st.markdown("""
         Upload a CSV with the following columns:<br>
-        <code>review</code> (required), <code>industry</code>, <code>product_category</code>, <code>device</code> (optional)
+        <code>review</code> (required), <code>industry</code>, <code>product_category</code> (optional)
     """, unsafe_allow_html=True)
 
     with st.expander("📄 Sample CSV"):
@@ -185,10 +176,12 @@ with tab2:
                 st.error("CSV must contain a `review` column.")
             else:
                 st.success(f"✅ Loaded {len(df)} reviews")
-                for col in ["industry", "product_category", "device"]:
+
+                for col in ["industry", "product_category"]:
                     if col not in df.columns:
-                        df[col] = [industry if industry != "Auto-detect" else "Generic"] * len(df)
-                    df[col] = df[col].fillna("").astype(str)
+                        default = "Generic" if col == "industry" else "General"
+                        df[col] = [default] * len(df)
+                    df[col] = df[col].fillna("").astype(str).replace("Auto-detect", "Generic" if col == "industry" else "General")
 
                 if st.button("📊 Analyze Bulk Reviews", use_container_width=True):
                     with st.spinner("Processing..."):
@@ -199,12 +192,10 @@ with tab2:
                                 "aspects": use_aspects,
                                 "industry": df["industry"].tolist(),
                                 "product_category": df["product_category"].tolist(),
-                                "device": df["device"].tolist(),
                                 "intelligence": st.session_state.intelligence_mode
                             }
                             headers = {"x-api-key": api_token}
-                            params = {"smart": "1"} if use_smart_summary_bulk else {}
-                            res = requests.post(f"{backend_url}/bulk/", json=payload, headers=headers, params=params)
+                            res = requests.post(f"{backend_url}/bulk/", json=payload, headers=headers)
 
                             if res.status_code == 200:
                                 results = pd.DataFrame(res.json()["results"])