Update app.py

app.py

@@ -19,7 +19,7 @@ trait_content_df['Title'].fillna(method='ffill',inplace=True)
 trait_content_df['Question'].fillna(method='ffill',inplace=True)
 
 template = """
-   Imagine you are a person that is looking for making a cool personalized bio. Craft distinctive responses for each user based on traits extracted and refer from the content provided for each trait, even if the prompts are similar.Make a single Bio for all traits at once, no need to make different for each trait. Always Respond in 2nd person view, no need to include any names. Avoid using the same sentences for different prompts while keeping the response length of 80-120 words.
+   Imagine you are a person that is looking for making a cool personalized bio. Craft distinctive responses for each user based on traits extracted and refer from the content provided for each trait, even if the prompts are similar.Make a single Bio for all traits at once, no need to make different for each trait. Always Respond in 2nd person view, no need to include any names. Avoid using the same sentences for different prompts while keeping the response length of around 300 words in different paragraphs.
     {history}
     Me:{human_input}
     Bot: