add enguagement tweet & fix filtered words

foodie_utils.py

@@ -122,33 +122,35 @@ def save_post_counts(counts):
     logging.info("Saved post counts to x_post_counts.json")
 
 def generate_article_tweet(author, post, persona):
-    persona_config = PERSONA_CONFIGS[persona]
-    base_prompt = persona_config["x_prompt"].format(
-        description=persona_config["description"],
-        tone=persona_config["tone"]
+    title = post["title"]
+    url = post["url"]
+    author_handle = f"@{author['username']}"
+    
+    # Base tweet content
+    prompt = (
+        f"Generate a concise tweet (under 280 characters) for {author_handle} using the persona '{persona}'. "
+        f"Summarize the article '{title}' and include the link '{url}'. "
+        f"Highlight the article's appeal, make it engaging, and encourage interaction. "
+        f"Always mention 'InsiderFoodie.com' in the tweet. "
+        f"Avoid using the word 'elevate'—use more humanized language like 'level up' or 'bring to life'. "
+        f"Do not include hashtags or emojis."
     )
-    prompt = base_prompt.replace(
-        "For article tweets, include the article title, a quirky hook, and the URL.",
-        f"Generate an article tweet including the title '{post['title']}', a quirky hook, and the URL '{post['url']}'."
+    
+    response = openai.ChatCompletion.create(
+        model=SUMMARY_MODEL,
+        messages=[
+            {"role": "system", "content": "You are a social media expert crafting engaging tweets."},
+            {"role": "user", "content": prompt}
+        ],
+        max_tokens=100,
+        temperature=0.7
     )
-    try:
-        response = client.chat.completions.create(
-            model=LIGHT_TASK_MODEL,
-            messages=[
-                {"role": "system", "content": prompt},
-                {"role": "user", "content": f"Generate tweet for {post['title']}."}
-            ],
-            max_tokens=100,
-            temperature=0.9
-        )
-        tweet = response.choices[0].message.content.strip()
-        if len(tweet) > 280:
-            tweet = tweet[:277] + "..."
-        logging.info(f"Generated article tweet for {author['username']}: {tweet}")
-        return tweet
-    except Exception as e:
-        logging.error(f"Failed to generate article tweet for {author['username']}: {e}")
-        return f"This trend is fire! Check out {post['title']} at {post['url']} #Foodie"
+    
+    tweet = response.choices[0].message.content.strip()
+    if len(tweet) > 280:
+        tweet = tweet[:277] + "..."
+    
+    return tweet
 
 def post_tweet(author, tweet):
     credentials = next((cred for cred in X_API_CREDENTIALS if cred["username"] == author["username"]), None)