Update app.py

app.py

@@ -6,14 +6,14 @@ import moviepy.editor as mp
 import tempfile
 import os
 
-# Sentiment analysis for text
+# Analyze text
 def analyze_text(text):
     blob = TextBlob(text)
-    sentiment = blob.sentiment.polarity
-    emotion = "Positive" if sentiment > 0 else "Negative" if sentiment < 0 else "Neutral"
-    return f"Sentiment: {emotion} (Score: {sentiment:.2f})"
+    polarity = blob.sentiment.polarity
+    emotion = "Positive" if polarity > 0 else "Negative" if polarity < 0 else "Neutral"
+    return f"Sentiment: {emotion} (Score: {polarity:.2f})"
 
-# Emotion detection for image
+# Analyze face
 def analyze_face(image):
     try:
         result = DeepFace.analyze(image, actions=['emotion'], enforce_detection=False)
@@ -22,12 +22,12 @@ def analyze_face(image):
     except Exception as e:
         return f"Error analyzing face: {str(e)}"
 
-# Analyze emotion in video
+# Analyze video
 def analyze_video(video_path):
     try:
         temp_folder = tempfile.mkdtemp()
         clip = mp.VideoFileClip(video_path)
-        frame = clip.get_frame(clip.duration / 2)  # middle frame
+        frame = clip.get_frame(clip.duration / 2)
         frame_path = os.path.join(temp_folder, "frame.jpg")
         cv2.imwrite(frame_path, cv2.cvtColor(frame, cv2.COLOR_RGB2BGR))
         result = DeepFace.analyze(frame_path, actions=['emotion'], enforce_detection=False)
@@ -36,7 +36,7 @@ def analyze_video(video_path):
     except Exception as e:
         return f"Error analyzing video: {str(e)}"
 
-# Create Gradio Interface
+# Build Gradio Interface
 with gr.Blocks() as demo:
     gr.Markdown("# 🧠 Emotion Decoder - Sentiment & Emotion Analysis")
     
@@ -61,4 +61,6 @@ with gr.Blocks() as demo:
 demo.launch()
 
    
+
+