Update app.py

app.py

@@ -113,39 +113,27 @@ def main():
     max_label, max_score = max(sentiment_results.items(), key=lambda x: x[1])
     st.markdown(f"**Highest Sentiment:** **{max_label}** ({max_score:.4f})")
 
-        # Generate Detailed Recommendations for select sentiments
+    # Generate Detailed Recommendations for select sentiments
     progress.text("Generating detailed recommendations...")
     if max_label in ["Very Negative", "Negative", "Neutral"]:
-        prompt = (
-            "You are a senior product quality and customer experience specialist at an e-commerce food retailer.
-
-"
-            f"Customer Review:
-\"{review}\"
-
-"
-            "Please analyze this feedback and provide **three** distinct, actionable improvement recommendations designed to reduce customer pain points.
-"
-            "For each recommendation, include:
-"
-            "  1. **Recommendation Title**: a concise summary of the action.
-"
-            "  2. the specific issue or frustration extracted from the review.
-"
-            "  3. why this action addresses the pain point and how it will improve the customer experience.
-"
-            "  4. a bullet-point list of 3–5 clear steps for operations or product teams to execute.
-"
-            "  5. how to measure the impact.
-
-"
-            "Write each recommendation in at least 5–7 sentences, grounding every detail in the customer's own words. "
-            "Avoid generic advice—focus on specifics from the review.
-
-"
-            "Recommendations:
-"
-        )
+        prompt = f"""
+You are a senior product quality and customer experience specialist at an e-commerce food retailer.
+
+Customer Review:
+"{review}"
+
+Please analyze this feedback and provide **three** distinct, actionable improvement recommendations designed to reduce customer pain points.
+For each recommendation, include:
+  1. **Recommendation Title**: a concise summary of the action.
+  2. The specific issue or frustration extracted from the review.
+  3. Why this action addresses the pain point and how it will improve the customer experience.
+  4. A bullet-point list of 3–5 clear steps for operations or product teams to execute.
+  5. How to measure the impact.
+
+Write each recommendation in at least 5–7 sentences, grounding every detail in the customer's own words. Avoid generic advice—focus on specifics from the review.
+
+Recommendations:
+"""
         response = generation_pipeline(prompt)
         detailed = response[0]["generated_text"]
         st.markdown(detailed)
@@ -160,3 +148,4 @@ def main():
 if __name__ == "__main__":
     main()
 
+