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app.py

@@ -36,6 +36,7 @@ except ImportError:
 from models import EmotionLabel, EMOTION_LABELS, CulturalRegion, EMOTION_EMOJI
 from face_detector import FaceEmotionDetector
 from text_detector import TextEmotionDetector
+from posture_detector import PostureEmotionDetector
 from auth import (
     validate_email,
     is_email_used,
@@ -268,6 +269,12 @@ def load_text_detector():
     det.load()
     return det
 
+@st.cache_resource
+def load_posture_detector():
+    det = PostureEmotionDetector()
+    det.load()
+    return det
+
 
 # =====================================================================
 # Helper: Render Functions
@@ -564,13 +571,14 @@ def show_demo():
         )
 
     st.markdown("# EMOSPHERE")
-    st.markdown("*Real-time multimodal emotion detection -- face & text*")
+    st.markdown("*Real-time multimodal emotion detection -- face, text, posture & gesture*")
 
     face_det = load_face_detector()
     text_det = load_text_detector()
+    posture_det = load_posture_detector()
 
-    tab_camera, tab_text, tab_history = st.tabs([
-        "Camera / Image", "Text Analysis", "History",
+    tab_camera, tab_text, tab_posture, tab_history = st.tabs([
+        "Camera / Image", "Text Analysis", "Posture & Gesture", "History",
     ])
 
     # -- Camera / Image Tab --
@@ -721,6 +729,91 @@ def show_demo():
                 "text": text_input[:100],
             })
 
+    # -- Posture & Gesture Tab --
+    with tab_posture:
+        st.markdown("### Posture & Gesture Emotion Detection")
+        st.markdown(
+            '<p style="color: #6B7B9D; font-size: 13px;">'
+            'Upload a full-body or upper-body image to analyze emotional cues from posture, '
+            'gestures, arm position, shoulder tension, and body language.</p>',
+            unsafe_allow_html=True,
+        )
+
+        col_posture_in, col_posture_out = st.columns([1, 1])
+
+        with col_posture_in:
+            posture_method = st.radio(
+                "Input method",
+                ["Upload Image", "Webcam Snapshot"],
+                horizontal=True,
+                key="posture_method",
+            )
+
+            posture_data = None
+
+            if posture_method == "Upload Image":
+                posture_uploaded = st.file_uploader(
+                    "Upload a body image",
+                    type=["jpg", "jpeg", "png", "webp"],
+                    key="posture_upload",
+                )
+                if posture_uploaded:
+                    posture_data = posture_uploaded.read()
+                    st.image(posture_data, caption="Uploaded image", use_container_width=True)
+            else:
+                posture_photo = st.camera_input("Take a photo", key="posture_cam")
+                if posture_photo:
+                    posture_data = posture_photo.read()
+
+        with col_posture_out:
+            if posture_data:
+                if is_trial_expired(start):
+                    st.session_state.auth_stage = "ended"
+                    st.rerun()
+                    return
+
+                with st.spinner("Analyzing posture & gestures..."):
+                    posture_result = posture_det.detect(
+                        posture_data,
+                        CulturalRegion(cultural_region),
+                    )
+
+                render_emotion_bubble(posture_result.dominant, posture_result.dominant_score)
+                st.markdown(
+                    '<div class="glass-card">'
+                    '<div style="color: #6B7B9D; font-size: 12px;">'
+                    'Processed in {:.0f}ms'
+                    ' &bull; Confidence: {:.1f}%'
+                    ' &bull; Cultural: {}'
+                    '</div></div>'.format(
+                        posture_result.processing_time_ms,
+                        posture_result.confidence * 100,
+                        CULTURAL_OPTIONS.get(cultural_region, "Universal"),
+                    ),
+                    unsafe_allow_html=True,
+                )
+
+                p_scores = {s.label: s.score for s in posture_result.scores}
+                render_emotion_bars(p_scores)
+
+                st.session_state.history.append({
+                    "time": datetime.now(),
+                    "modality": "posture",
+                    "dominant": posture_result.dominant.value,
+                    "score": posture_result.dominant_score,
+                    "scores": p_scores,
+                })
+            else:
+                st.markdown(
+                    '<div class="glass-card" style="text-align: center; padding: 40px;">'
+                    '<span style="font-size: 48px;">&#129497;</span>'
+                    '<p style="color: #6B7B9D; margin-top: 12px;">'
+                    'Upload a body image or take a webcam snapshot<br/>'
+                    'to detect emotions from posture &amp; gestures'
+                    '</p></div>',
+                    unsafe_allow_html=True,
+                )
+
     # -- History Tab --
     with tab_history:
         st.markdown("### Emotion History")
@@ -754,7 +847,7 @@ def show_demo():
             for h in reversed(history[-10:]):
                 emo = EMOTION_EMOJI.get(EmotionLabel(h["dominant"]), "")
                 color = EMOTION_COLORS.get(EmotionLabel(h["dominant"]), "#94A3B8")
-                modality_icon = {"face": "&#128247;", "text": "&#128172;"}.get(
+                modality_icon = {"face": "&#128247;", "text": "&#128172;", "posture": "&#129497;"}.get(
                     h["modality"], "&#128302;"
                 )
                 snippet = ""