Create app.py

app.py

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+import streamlit as st
+from bs4 import BeautifulSoup
+import requests
+from groq import Groq
+
+# Define the Website class
+class Website:
+    def __init__(self, url):
+        self.url = url
+        try:
+            response = requests.get(url)
+            soup = BeautifulSoup(response.content, 'html.parser')
+            self.title = soup.title.string if soup.title else "No title found"
+            for irrelevant in soup.body(["script", "style", "img", "input"]):
+                irrelevant.decompose()
+            self.text = soup.body.get_text(separator="\n", strip=True)
+        except Exception as e:
+            self.title = "Error loading page"
+            self.text = str(e)
+
+# Initialize Groq client
+api_key = "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"
+client = Groq(api_key=api_key)
+
+# Streamlit UI
+st.title("Welcome to WebBot")
+st.write("Enter a website URL and ask questions about its content!")
+
+# Input fields
+url = st.text_input("Website URL:", "https://example.com  or .ac.ke " )
+user_query = st.text_area("What would you like to know about this website")
+
+if st.button("Submit"):
+    # Scrape website content
+    with st.spinner("Scraping website..."):
+        website = Website(url)
+    
+    if "Error" in website.title:
+        st.error("Failed to load the website. Please check the URL.")
+    else:
+        st.success("Website loaded successfully!")
+        st.write(f"**Website Title:** {website.title}")
+
+        # Call Groq API for processing
+        st.write("Querying the website...")
+        with st.spinner("Processing your query..."):
+            try:
+                chat_streaming = client.chat.completions.create(
+                    messages=[
+                        {"role": "system", "content": "You are a helpful assistant specializing in extracting and analyzing website content. Answer questions based on the provided website's content. Ensure responses are clear, concise, and formatted in Markdown for better readability."},
+                        {"role": "user", "content": f"{user_query} Here's the content:\n{website.text}"}
+                    ],
+                    model="llama3-groq-70b-8192-tool-use-preview",
+                    temperature=0.3,
+                    max_tokens=1200,
+                    top_p=1,
+                    stream=True,
+                )
+                response = ""
+                for chunk in chat_streaming:
+                    response += chunk.choices[0].delta.content
+                st.write("### Response:")
+                st.write(response)
+            except Exception as e:
+                st.error(f"Failed to process query: {e}")