Update post_generator.py

post_generator.py

@@ -91,38 +91,25 @@ def generate_post(length, language, tag, selected_tone=None):
     return post_content
 
 
-def get_prompt(length, language, tag, tone, custom_context=None):
+def get_prompt(length, language, tag):
     length_str = get_length_str(length)
 
-    # Base prompt structure
-    prompt = f"""
+    prompt = f'''
     Write a professional, engaging LinkedIn post.
-    - Topic: "{tag}"
-    - Post Length: "{length_str}"
-    - Language: "{language}" (If Hinglish, use Hindi phrases written in English script.)
-    - Tone: "{tone}" (e.g., Motivational, Professional, Informal, Neutral)
-    - Purpose: Inspire, engage, and provide actionable advice.
-    """
+    1. Topic: "{tag}"
+    2. Post Length: "{length_str}"
+    3. Language: "{language}" (Hinglish means Hindi phrases written in English script).
+    4. Incorporate creativity, enthusiasm, emotional appeal, and actionable advice.
+    '''
 
-    if custom_context:
-        prompt += f'- Additional Context: "{custom_context}"\n'
-
-    prompt += """
-    The post should:
-    1. Start with an engaging introduction or relatable statement.
-    2. Provide useful insights, examples, or tips.
-    3. End with a motivational or actionable closing statement.
-    """
-
-    # Add examples
     examples = few_shot.get_filtered_posts(length, language, tag)
     if examples:
         prompt += "\nExamples of great posts:\n"
         for i, post in enumerate(examples[:2]):  # Limit to 2 examples
             post_text = post['text']
-            prompt += f"Example {i + 1}:\n{post_text}\n"
-
-    prompt += "\nNow write the LinkedIn post."
+            prompt += f"Example {i + 1}: {post_text}\n"
+    
+    prompt += "\nNow write the post."
     return prompt