Update app.py

app.py

@@ -1,18 +1,27 @@
 import os
 os.environ["STREAMLIT_NO_ALT"] = "true"
 
-# Install necessary packages
-import subprocess
-subprocess.call(["pip", "install", "textblob"])
-subprocess.call(["pip", "install", "vadersentiment"])
-subprocess.call(["pip", "install", "flair"])
-
 import streamlit as st
+import matplotlib.pyplot as plt
+
+# Install dependencies
+st.write("Installing dependencies...")
+streamlit_deps = """
+streamlit
+textblob
+vadersentiment
+flair
+matplotlib
+""".strip().split('\n')
+
+for lib in streamlit_deps:
+    os.system(f"pip install {lib}")
+
+# Now you can import them
 from textblob import TextBlob
 from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
 from flair.models import TextClassifier
 from flair.data import Sentence
-import matplotlib.pyplot as plt
 
 # Function to perform sentiment analysis using TextBlob model
 def textblob_sentiment(text):
@@ -58,4 +67,4 @@ fig, ax = plt.subplots()
 ax.bar(['TextBlob', 'VADER', 'Flair'], [textblob_score, vader_score, flair_score])
 ax.axhline(y=0, color='gray', linestyle='--')
 ax.set_title('Sentiment Scores')
-st.pyplot(fig)
+st.pyplot(fig)