Update app.py

app.py

@@ -1,33 +1,36 @@
-import streamlit as st
-from mca_comment_analyzer import MCACommentAnalyzerLight
+# app.py
 
-st.set_page_config(page_title="MCA Comment Analyzer Light", layout="wide")
-st.title("📊 MCA eConsultation Comment Analyzer (Light)")
+# -----------------------------
+# 1️⃣ Hugging Face cache fix
+# -----------------------------
+import os
+os.environ["TRANSFORMERS_CACHE"] = "/tmp/cache"
 
-# Sidebar
-st.sidebar.header("Upload or Enter Comments")
-upload_file = st.sidebar.file_uploader("Upload a text file (.txt)", type=["txt"])
-manual_input = st.sidebar.text_area("Or enter comments (one per line)")
+# -----------------------------
+# 2️⃣ Streamlit import
+# -----------------------------
+import streamlit as st
 
-comments = []
-if upload_file:
-    comments = upload_file.read().decode("utf-8").splitlines()
-elif manual_input.strip():
-    comments = manual_input.strip().split("\n")
+# -----------------------------
+# 3️⃣ Local module import
+# -----------------------------
+from mca_comment_analyzer import MCACommentAnalyzerLight  # check class name in your file
 
-if st.sidebar.button("Analyze"):
-    if comments:
-        analyzer = MCACommentAnalyzerLight()
-        df, keyword_freq = analyzer.process_comments(comments)
+# -----------------------------
+# 4️⃣ Streamlit App
+# -----------------------------
+st.title("MCA Comment Analyzer Light 📝")
 
-        st.subheader("📌 Analysis Results")
-        st.dataframe(df, use_container_width=True)
+# Example usage
+st.write("Upload your comment file or input text below:")
 
-        st.subheader("📊 Sentiment Distribution")
-        st.bar_chart(df["Sentiment"].value_counts())
+user_input = st.text_area("Enter comment text:")
 
-        st.subheader("☁️ Word Cloud")
-        plt = analyzer.generate_wordcloud(keyword_freq)
-        st.pyplot(plt)
+if st.button("Analyze"):
+    if user_input.strip() == "":
+        st.warning("Please enter some text!")
     else:
-        st.warning("⚠️ Please provide comments to analyze.")
+        analyzer = MCACommentAnalyzerLight()
+        result = analyzer.analyze(user_input)  # replace analyze() with your actual function
+        st.success("Analysis Result:")
+        st.write(result)