Update app.py

app.py

@@ -26,6 +26,7 @@ summarizer = pipeline("summarization", model="human-centered-summarization/finan
 fin_model = pipeline("sentiment-analysis", model='yiyanghkust/finbert-tone', tokenizer='yiyanghkust/finbert-tone')
 fin_model_bis = pipeline("sentiment-analysis", model='ProsusAI/finbert', tokenizer='ProsusAI/finbert')
 table_to_text = pipeline('text2text-generation', model='google/flan-t5-large')
+generator = pipeline('text-generation', model='EleutherAI/gpt-neo-2.7B')
 
 def summarize_text(text):
     resp = summarizer(text)
@@ -273,7 +274,7 @@ def generate_text(df, country, theme):
 
 
     # Generate the descriptive text using the model
-    result = table_to_text(prompt, max_length=200, temperature=0.5, top_p = 0.7, do_sample=True)[0]['generated_text']
+    result = generator(prompt, max_length=200, temperature=0.7, top_p = 0.9, do_sample=True)[0]['generated_text']
     
     return result
 # Global variable