create app.py

app.py

@@ -0,0 +1,67 @@
+# app.py
+import os
+os.environ['TF_ENABLE_ONEDNN_OPTS'] = '0'
+os.environ['KMP_DUPLICATE_LIB_OK']='TRUE'
+
+import streamlit as st
+import spacy
+from spacy import displacy
+import re
+
+from modules.syntax_analysis import highlight_repeated_words, get_repeated_words_colors, POS_COLORS, POS_TRANSLATIONS, visualize_syntax
+
+# Load spaCy model
+nlp = spacy.load("es_core_news_lg")
+
+# Configure the page to use the full width
+st.set_page_config(layout="wide", page_title="AIdeaText")
+
+st.markdown("### AIdeaText - Advanced Text Analysis Tool")
+
+# First horizontal band: Text Input
+sentence_input = st.text_area("Ingresa un texto para analizar (max 5,000 words):", height=150)
+
+if st.button("Analizar texto"):
+    if sentence_input:
+        doc = nlp(sentence_input)
+
+        # Second horizontal band: Highlighted Repeated Words
+        with st.expander("Palabras repetidas", expanded=True):
+            #st.markdown("#### Palabras repetidas")
+            #st.write("En esta sección, se indican las palabras repetidas por categoría gramatical.")
+            word_colors = get_repeated_words_colors(doc)
+            highlighted_text = highlight_repeated_words(doc, word_colors)
+            st.markdown(highlighted_text, unsafe_allow_html=True)
+
+            # Legend for grammatical categories
+            st.markdown("##### Legenda: Categorías gramaticales")
+            legend_html = "<div style='display: flex; flex-wrap: wrap;'>"
+            for pos, color in POS_COLORS.items():
+                if pos in POS_TRANSLATIONS:
+                    legend_html += f"<div style='margin-right: 10px;'><span style='background-color: {color}; padding: 2px 5px;'>{POS_TRANSLATIONS[pos]}</span></div>"
+            legend_html += "</div>"
+            st.markdown(legend_html, unsafe_allow_html=True)
+
+        # Third horizontal band: Arc Diagram
+        with st.expander("Análisis sintáctico: Diagrama de arco", expanded=True):
+            #st.write("This section displays the syntactic structure of each sentence using arc diagrams.")
+
+            sentences = list(doc.sents)
+            for i, sent in enumerate(sentences):
+                st.subheader(f"Sentence {i+1}")
+                html = displacy.render(sent, style="dep", options={"distance": 100})
+                # Reduce the height of the SVG
+                html = html.replace('height="375"', 'height="200"')
+                # Reduce the top margin of the SVG
+                html = re.sub(r'<svg[^>]*>', lambda m: m.group(0).replace('height="450"', 'height="300"'), html)
+                html = re.sub(r'<g [^>]*transform="translate\((\d+),(\d+)\)"',
+                          lambda m: f'<g transform="translate({m.group(1)},50)"', html)
+                st.write(html, unsafe_allow_html=True)
+
+        # Fourth horizontal band: Network graph
+        with st.expander("Análisis sintáctico: Diagrama de red", expanded=True):
+            st.markdown("#### Análisis sintáctico: Diagrama de red")
+            st.write("Esta sección muestra la estructura sintáctica del texto completo usando un diagrama de red.")
+
+            fig = visualize_syntax(sentence_input)
+            st.pyplot(fig)