Update app.py

app.py

@@ -119,6 +119,29 @@ def analyze_post(text, video):
     sentiment = analyze_text(text)
     emotion = analyze_video(video)
     return f"📝 Sentiment: {sentiment}\n🎥 Emotion: {emotion}"
+import gradio as gr
+
+def analyze_text(text):
+    from transformers import pipeline
+    classifier = pipeline("sentiment-analysis")
+    return classifier(text)[0]['label']
+
+def process_all(text_input, video_input):
+    text_result = analyze_text(text_input)
+    video_result = analyze_video_emotion(video_input)
+    return f"Text Sentiment: {text_result}\nFacial Emotion: {video_result}"
+
+gr.Interface(
+    fn=process_all,
+    inputs=[
+        gr.Textbox(label="Enter Social Media Text"),
+        gr.Video(label="Upload a Video Clip")
+    ],
+    outputs="text",
+    title="Emotion & Sentiment Decoder",
+    description="Analyzes social media text & facial expressions from video."
+).launch()
+    
 
 interface = gr.Interface(
     fn=analyze_post,