fix: replacing streamlit with flask

app.py

@@ -1,41 +1,41 @@
-import streamlit as st
+# app.py
+from flask import Flask, request, render_template
 from modules.summarizer import summarize_text
 from modules.classifier import classify_text
 from modules.event_detector import detect_events
 from modules.utils import read_pdf, fetch_article_from_url
 
-st.set_page_config(page_title="NLP Assistant", layout="wide")
-st.title("NLP Assistant - Summarization, Classification & Event Detection")
+app = Flask(__name__)
 
-tab1, tab2, tab3 = st.tabs(["Summarization", "News Classification", "Event Detection"])
+@app.route('/')
+def home():
+    return render_template("index.html")
 
-with tab1:
-    st.subheader("Summarize Text, PDF, or URL")
-    text_input = st.text_area("Paste Article", height=300)
-    pdf_input = st.file_uploader("Upload PDF", type="pdf")
-    url_input = st.text_input("Paste Article URL")
+@app.route('/summarize', methods=['POST'])
+def summarize():
+    content = ""
+    if 'url_input' in request.form and request.form['url_input'].strip():
+        content = fetch_article_from_url(request.form['url_input'])
+    elif 'pdf_input' in request.files and request.files['pdf_input'].filename:
+        pdf_file = request.files['pdf_input']
+        content = read_pdf(pdf_file)
+    else:
+        content = request.form.get('text_input', '')
 
-    if st.button("Summarize"):
-        if url_input.strip():
-            content = fetch_article_from_url(url_input)
-        elif pdf_input:
-            content = read_pdf(pdf_input)
-        else:
-            content = text_input
+    summary = summarize_text(content)
+    return render_template("index.html", summary=summary)
 
-        with st.spinner("Summarizing..."):
-            st.text_area("Summary", summarize_text(content), height=400)
+@app.route('/classify', methods=['POST'])
+def classify():
+    text = request.form.get('classify_input', '')
+    classification = classify_text(text)
+    return render_template("index.html", classification=classification)
 
-with tab2:
-    st.subheader("Classify News Content")
-    classify_input = st.text_area("Enter News Content", height=300)
-    if st.button("Classify"):
-        with st.spinner("Classifying..."):
-            st.success(classify_text(classify_input))
+@app.route('/events', methods=['POST'])
+def events():
+    text = request.form.get('event_input', '')
+    events = detect_events(text)
+    return render_template("index.html", events=events)
 
-with tab3:
-    st.subheader("Detect Key Events from Text")
-    event_input = st.text_area("Enter Article or Paragraph", height=300)
-    if st.button("Detect Events"):
-        with st.spinner("Detecting..."):
-            st.success(detect_events(event_input))
+if __name__ == '__main__':
+    app.run(debug=True, port=10000, host='0.0.0.0')

render.yaml

@@ -1,11 +1,7 @@
 services:
   - type: web
-    name: nlp-assistant
+    name: nlp-assistant-flask
     env: python
-    plan: starter
-    region: oregon
     buildCommand: pip install -r requirements.txt
     startCommand: ./start.sh
-    envVars:
-      - key: PYTHON_VERSION
-        value: 3.10
+    plan: free

requirements.txt

@@ -13,3 +13,6 @@ torch==2.6.0
 numpy==1.26.4
 lxml_html_clean==0.1.1
 lxml==5.3.1
+flask==2.3.3
+beautifulsoup4
+requests

start.sh

@@ -1,7 +1,3 @@
 #!/bin/bash
-
-# Ensure the PORT Render expects is used
-export PORT=${PORT:-8501}
-
-# Run Streamlit binding to the correct host and port
-streamlit run app.py --server.port=$PORT --server.address=0.0.0.0
+export PORT=10000
+exec gunicorn app:app --bind 0.0.0.0:$PORT --timeout 300

static/style.css

@@ -0,0 +1,43 @@
+body {
+    font-family: Arial, sans-serif;
+    margin: 30px;
+    background-color: #f8f9fa;
+    color: #333;
+  }
+  
+  h1 {
+    text-align: center;
+    color: #0056b3;
+  }
+  
+  .section {
+    background: white;
+    padding: 20px;
+    margin: 20px 0;
+    border-radius: 12px;
+    box-shadow: 0 0 10px rgba(0,0,0,0.1);
+  }
+  
+  textarea {
+    width: 100%;
+    height: 120px;
+    padding: 10px;
+    margin-top: 10px;
+    border: 1px solid #ccc;
+    border-radius: 6px;
+  }
+  
+  button {
+    margin-top: 10px;
+    padding: 8px 20px;
+    background-color: #007bff;
+    color: white;
+    border: none;
+    border-radius: 6px;
+    cursor: pointer;
+  }
+  
+  button:hover {
+    background-color: #0056b3;
+  }
+  

templates/index.html

@@ -0,0 +1,49 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+  <meta charset="UTF-8">
+  <title>NLP Assistant</title>
+  <link rel="stylesheet" href="/static/styles.css">
+</head>
+<body>
+  <h1>NLP Assistant</h1>
+
+  <div class="section">
+    <h2>Summarization</h2>
+    <form action="/summarize" method="POST" enctype="multipart/form-data">
+      <textarea name="text_input" placeholder="Paste article text..."></textarea><br>
+      <input type="file" name="pdf_input"><br>
+      <input type="text" name="url_input" placeholder="Paste article URL..."><br>
+      <button type="submit">Summarize</button>
+    </form>
+    {% if summary %}
+      <h3>Summary:</h3>
+      <textarea readonly>{{ summary }}</textarea>
+    {% endif %}
+  </div>
+
+  <div class="section">
+    <h2>Classification</h2>
+    <form action="/classify" method="POST">
+      <textarea name="classify_input" placeholder="Enter news content..."></textarea><br>
+      <button type="submit">Classify</button>
+    </form>
+    {% if classification %}
+      <h3>Category:</h3>
+      <p>{{ classification }}</p>
+    {% endif %}
+  </div>
+
+  <div class="section">
+    <h2>Event Detection</h2>
+    <form action="/events" method="POST">
+      <textarea name="event_input" placeholder="Enter article or paragraph..."></textarea><br>
+      <button type="submit">Detect Events</button>
+    </form>
+    {% if events %}
+      <h3>Detected Events:</h3>
+      <p>{{ events }}</p>
+    {% endif %}
+  </div>
+</body>
+</html>