Update app.py

app.py

@@ -1,19 +1,6 @@
 import gradio
-import requests
-from bs4 import BeautifulSoup
 from transformers import pipeline
 
-# Function to scrape information from a website
-def scrape_website(prompt, website_link):
-    response = requests.get(website_link)
-    soup = BeautifulSoup(response.content, "html.parser")
-    
-    # Implement your web scraping logic here
-    # Extract the desired information from the HTML
-    
-    scraped_info = "Scraped information from the website"
-    return scraped_info
-
 # Function to generate chatbot responses
 def generate_chatbot_response(prompt):
     chatbot = pipeline("text-generation", model="EleutherAI/gpt-neo-2.7B")
@@ -21,18 +8,17 @@ def generate_chatbot_response(prompt):
     return chatbot_response
 
 # Function to handle the web app logic
-def web_app(prompt, website_link):
-    #scraped_info = scrape_website(prompt, website_link)
+def chatbot_app(prompt):
     chatbot_response = generate_chatbot_response(prompt)
     return {"Chatbot Response": chatbot_response}
 
 # Create the Gradio interface
 iface = gradio.Interface(
-    fn=web_app,
-    inputs=["text", "text"],
-    outputs=["text", "text"],
-    title="Web Scraping and Chatbot App",
-    description="Enter a prompt and a website link to scrape information and generate a chatbot response."
+    fn=chatbot_app,
+    inputs="text",
+    outputs="text",
+    title="Chatbot App",
+    description="Enter a prompt to generate a chatbot response."
 )
 
 # Run the Gradio app