Update app.py to use rule-based sentiment analysis and remove transformers dependency

app.py

@@ -1,23 +1,34 @@
 import gradio as gr
-from transformers import pipeline
 
-# Load a small sentiment analysis pipeline
-classifier = pipeline("sentiment-analysis")
+# Simple rule-based sentiment analysis using sets of positive and negative words
+positive_words = {"good", "great", "happy", "fantastic", "excellent", "love", "awesome", "amazing", "wonderful", "like", "nice"}
+negative_words = {"bad", "terrible", "sad", "horrible", "awful", "hate", "angry", "poor", "disappointing", "worst"}
 
 def analyze_sentiment(text):
-    result = classifier(text)[0]
-    label = result["label"]
-    score = result["score"]
-    return f"{label} ({score:.2f})"
+    words = text.lower().split()
+    pos_count = sum(word in positive_words for word in words)
+    neg_count = sum(word in negative_words for word in words)
+    if pos_count > neg_count:
+        sentiment = "Positive"
+        score = pos_count / (pos_count + neg_count) if (pos_count + neg_count) > 0 else 0
+    elif neg_count > pos_count:
+        sentiment = "Negative"
+        score = neg_count / (pos_count + neg_count) if (pos_count + neg_count) > 0 else 0
+    else:
+        sentiment = "Neutral"
+        score = 0.5 if (pos_count + neg_count) > 0 else 0.5
+    return sentiment, round(score, 2)
 
-# Create Gradio interface
-iface = gr.Interface(
+interface = gr.Interface(
     fn=analyze_sentiment,
-    inputs=gr.Textbox(lines=5, placeholder="Enter text here...", label="Input Text"),
-    outputs=gr.Textbox(label="Sentiment"),
-    title="Tiny AI Sentiment Analyzer",
-    description="Enter a text snippet and get its sentiment (positive/negative) using a small Hugging Face model."
+    inputs=gr.Textbox(label="Enter text"),
+    outputs=[
+        gr.Textbox(label="Sentiment"),
+        gr.Number(label="Score")
+    ],
+    title="Rule-based Sentiment Analysis",
+    description="A tiny AI model that performs simple sentiment analysis using a list of positive and negative words."
 )
 
 if __name__ == "__main__":
-    iface.launch()
+    interface.launch()