Create app.py

app.py

@@ -0,0 +1,45 @@
+import os
+from langchain_community.document_loaders import AsyncHtmlLoader
+from langchain_community.document_transformers import Html2TextTransformer
+import tiktoken
+from langchain_groq import ChatGroq
+import streamlit as st 
+from dotenv import load_dotenv
+from pathlib import Path
+
+env_path = Path('.') / '.env'
+load_dotenv(dotenv_path=env_path)
+
+st.title("AI Sales Executive")
+urls_input = st.text_area("Enter website URLs (comma-separated):")
+
+if st.button("Submit"):
+    if urls_input:
+        urls = [url.strip() for url in urls_input.split(",")]
+        loader = AsyncHtmlLoader(urls)
+        docs = loader.load()
+
+        html2text = Html2TextTransformer()
+        docs_transformed = html2text.transform_documents(docs)
+
+        llm = ChatGroq(
+            model="llama3-8b-8192",
+            temperature=0,
+            max_tokens=None,
+            timeout=None,
+            max_retries=2,
+        )
+
+        enc = tiktoken.encoding_for_model("gpt-3.5-turbo")
+
+        prompt = """You are a senior sales executive tasked with demonstrating how your expert team of data scientists can significantly enhance this company's growth and optimize their existing products using AI/ML technologies. Provide detailed insights into the specific ways your team can contribute to the company's success, specifically tailored to the company's product and goals. Additionally, include a brief summary of the company based on the following website content:
+
+Website content: {content}
+"""
+        content = """"""
+        for doc in docs_transformed:
+            content += doc.page_content + "\n\n"
+        
+        with st.spinner("Generating response..."):
+            response = llm.invoke(prompt.format(content=content))
+            st.write(response.content)