Refactored main.py

2026-05-06 20:12:14 +00:00
parent 95595a5a5e
commit 5290554d70
3 changed files with 143 additions and 126 deletions
@@ -0,0 +1,89 @@
+import streamlit as st
+import random
+import numpy as np
+from PIL import Image
+import matplotlib.pyplot as plt
+
+EMO_NAMES = {0: "amusement", 1: "anger", 2: "awe", 3: "contentment", 
+             4: "disgust", 5: "excitement", 6: "fear", 7: "sadness"}
+
+def render_dataset_tab(matcher, image_files, embeddings, labels_array, images_path):
+    if image_files is None:
+        st.error("Ошибка загрузки данных EmoSet. Проверьте пути.")
+        return
+
+    # Инициализация состояния именно для этой вкладки
+    if 'ds_round' not in st.session_state:
+        st.session_state.ds_round = 1
+        st.session_state.ds_chosen_indices = []
+        st.session_state.ds_current_options = random.sample(range(len(image_files)), 6)
+
+    st.write("Выберите изображение, соответствующее вашему настроению:")
+
+    if st.session_state.ds_round <= 10:
+        st.subheader(f"Раунд {st.session_state.ds_round} из 10")
+        
+        cols = st.columns(3)
+        for i, idx in enumerate(st.session_state.ds_current_options):
+            with cols[i % 3]:
+                img_name = image_files[idx]
+                img = Image.open(images_path / img_name)
+                st.image(img, use_container_width=True)
+                
+                if matcher:
+                    v_p, a_p = matcher.predict_va(embeddings[idx])
+                    gt_label = EMO_NAMES.get(labels_array[idx], "unknown")
+                    st.caption(f"GT: {gt_label} | Pred: V:{v_p:.1f} A:{a_p:.1f}")
+                
+                if st.button(f"Выбрать образ {i+1}", key=f"btn_ds_{idx}", use_container_width=True):
+                    st.session_state.ds_chosen_indices.append(idx)
+                    st.session_state.ds_round += 1
+                    if st.session_state.ds_round <= 10:
+                        st.session_state.ds_current_options = random.sample(range(len(image_files)), 6)
+                    st.rerun()
+    else:
+        st.success("✅ Анализ завершен! Ваш эмоциональный профиль готов.")
+        
+        all_v, all_a = [], []
+        for idx in st.session_state.ds_chosen_indices:
+            v, a = matcher.predict_va(embeddings[idx])
+            all_v.append(v)
+            all_a.append(a)
+        
+        target_v, target_a = np.mean(all_v), np.mean(all_a)
+        playlist = matcher.find_nearest_tracks(target_v, target_a, top_k=5)
+
+        col_left, col_right = st.columns([1, 2])
+
+        with col_left:
+            st.header("📊 Ваш профиль")
+            st.metric("Позитивность (Valence)", f"{target_v:.2f}")
+            st.metric("Энергия (Arousal)", f"{target_a:.2f}")
+            
+            fig, ax = plt.subplots(figsize=(4, 4))
+            ax.set_xlim(1, 9); ax.set_ylim(1, 9)
+            ax.axhline(5, color='gray', lw=1, ls='--'); ax.axvline(5, color='gray', lw=1, ls='--')
+            ax.scatter(target_v, target_a, color='red', s=150, edgecolors='white', zorder=5)
+            ax.set_xlabel("Valence"); ax.set_ylabel("Arousal")
+            st.pyplot(fig)
+
+        with col_right:
+            st.header("🎵 Рекомендованная музыка")
+            for _, row in playlist.iterrows():
+                with st.container(border=True):
+                    c1, c2 = st.columns([1, 3])
+                    with c1:
+                        st.write(f"**ID:** {int(row['song_id'])}")
+                        st.caption(f"L2 Dist: {row['distance']:.2f}")
+                    with c2:
+                        audio_path = matcher.get_audio_path(row['song_id'])
+                        if audio_path:
+                            st.audio(str(audio_path))
+                        else:
+                            st.warning(f"Файл {int(row['song_id'])}.mp3 не найден")
+
+        if st.button("Начать заново", type="primary"):
+            st.session_state.pop('ds_round', None)
+            st.session_state.pop('ds_chosen_indices', None)
+            st.session_state.pop('ds_current_options', None)
+            st.rerun()