Update app.py

app.py

@@ -5,7 +5,6 @@ from bs4 import BeautifulSoup
 import PyPDF2
 import docx
 import time
-from smolagents.agents import HuggingFaceAgent
 
 summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
 sentiment_analyzer = pipeline("sentiment-analysis")
@@ -77,9 +76,6 @@ def create_interface():
     
     submit_button = gr.Button("Analyze")
     progress_bar = gr.Progress()
-    
-    model_endpoint = "https://api-inference.huggingface.co/models/facebook/bart-large-cnn"
-    agent = HuggingFaceAgent(model_endpoint=model_endpoint)
 
     def update_input_visibility(input_type):
         return {
@@ -105,20 +101,16 @@ def create_interface():
         
         try:
             original_text, summary, sentiment, topics = analyze_text(input_value, input_type, tasks, progress_bar)
-            enhanced_summary = agent.run(f"Given the following text: '{original_text}', please suggest improvements to this summary: '{summary}'")
-            enhanced_sentiment = agent.run(f"Given the following text: '{original_text}', does this sentiment seem accurate: '{sentiment}'? Please elaborate and suggest any corrections.")
         except Exception as e:
             original_text = f"Error: {str(e)}"
             summary, sentiment, topics = "", "", ""
-            enhanced_summary = ""
-            enhanced_sentiment = ""
 
-        return original_text, summary, enhanced_summary, sentiment, enhanced_sentiment, topics
+        return original_text, summary, sentiment, topics
 
     submit_button.click(
         fn=process_input, 
         inputs=[input_type, text_input, url_input, file_input, tasks_checkboxes],
-        outputs=[original_text_output, summary_output, summary_output, sentiment_output, sentiment_output, topics_output]
+        outputs=[original_text_output, summary_output, sentiment_output, topics_output]
     )
     
     interface = gr.TabbedInterface([