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import os
import gradio as gr
from langchain.document_loaders import WebBaseLoader
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain.vectorstores import FAISS
from langchain.embeddings import HuggingFaceEmbeddings
from langchain.chains import RetrievalQA
from langchain_together import Together
# 🔐 Set your API key
os.environ["TOGETHER_API_KEY"] = os.environ.get("TOGETHER_API_KEY", "")
# 🔁 Caches
qa_cache = {}
retriever_cache = {}
# 🔍 Load and embed the website content
def load_url(url):
try:
loader = WebBaseLoader(url)
docs = loader.load()
splitter = RecursiveCharacterTextSplitter(chunk_size=500, chunk_overlap=50)
chunks = splitter.split_documents(docs)
embeddings = HuggingFaceEmbeddings(model_name="all-MiniLM-L6-v2")
db = FAISS.from_documents(chunks, embedding=embeddings)
retriever = db.as_retriever()
llm = Together(
model="mistralai/Mistral-7B-Instruct-v0.2",
temperature=0.5,
max_tokens=512
)
qa = RetrievalQA.from_chain_type(llm=llm, retriever=retriever)
return retriever, qa, "✅ Website loaded. You can start chatting!"
except Exception as e:
return None, None, f"❌ Error: {str(e)}"
# 💬 Chat handler
def chat(message, history, url):
if url not in qa_cache:
retriever, qa, status = load_url(url)
if retriever is None:
history.append({"role": "user", "content": message})
history.append({"role": "assistant", "content": status})
return history, ""
retriever_cache[url] = retriever
qa_cache[url] = qa
history.append({"role": "system", "content": status})
else:
qa = qa_cache[url]
try:
result = qa.invoke({"query": message})["result"]
except Exception as e:
result = f"❌ Error: {str(e)}"
history.append({"role": "user", "content": message})
history.append({"role": "assistant", "content": result})
return history, ""
# ✅ Gradio UI
with gr.Blocks() as demo:
gr.Markdown("## 🧠 Chat with Any Website")
url_input = gr.Textbox(label="Website URL", placeholder="https://en.wikipedia.org/wiki/LangChain")
chatbot = gr.Chatbot(label="Chat", type="messages")
msg_input = gr.Textbox(show_label=False, placeholder="Ask your question here and press Enter...")
state = gr.State([])
msg_input.submit(chat, inputs=[msg_input, state, url_input], outputs=[chatbot, msg_input])
# 👇 Footer
gr.Markdown(
"""
---
<center>
🔗 <a href="https://github.com/vivekreddy1105" target="_blank">GitHub</a> |
💼 <a href="https://www.linkedin.com/in/vivekreddy1105/" target="_blank">LinkedIn</a><br>
© 2025 Vivek Reddy Eluka
</center>
""",
elem_id="footer"
)
demo.launch(share=True)
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