Restore day2: first_chain & chatbot (no secrets)

.gitignore

@@ -1 +1,2 @@
 .env
+grep -qxF '.env' .gitignore || echo '.env' >> .gitignore

day2/chatbot.py

@@ -0,0 +1,16 @@
+cat > day2/chatbot.py << 'PY'
+from dotenv import load_dotenv
+load_dotenv()
+
+import gradio as gr
+from langchain_groq import ChatGroq
+
+def chat(message, history):
+    llm = ChatGroq(model="llama3-8b-8192")
+    resp = llm.invoke(message)
+    return resp.content
+
+demo = gr.ChatInterface(chat)
+if __name__ == "__main__":
+    demo.launch()
+PY

day2/first_chain.py

@@ -0,0 +1,39 @@
+from dotenv import load_dotenv
+import os
+from langchain_groq import ChatGroq
+from langchain.prompts import PromptTemplate
+from langchain.chains import LLMChain
+
+load_dotenv()
+
+# Step 1: Set up the LLM (Groq with LLaMA 3.1)
+llm = ChatGroq(model="llama3-8b-8192")
+
+# Step 2: Define prompt template with Azerbaijan context
+template = """
+You are an expert assistant with deep knowledge about Azerbaijan.
+
+Here is some context about Azerbaijan:
+Azerbaijan is a country located at the crossroads of Eastern Europe and Western Asia. It is known for its rich culture, history, oil resources, and modern capital Baku.
+
+Now, answer the following question clearly and concisely:   
+{question}
+"""
+
+prompt = PromptTemplate.from_template(template) 
+
+# Step 3: Create the LangChain LLMChain     
+chain = LLMChain(llm=llm, prompt=prompt)
+
+# Step 4: Run the chain with a user question
+if __name__ == "__main__":
+    user_question = input("Enter your question: ")
+    answer = chain.run(user_question)
+    print("\nAnswer:\n", answer)
+# Step 5: Test the chain with a sample question
+    # Example: "What is the capital of Azerbaijan?"
+    # This will prompt the user to enter a question and provide an answer based on the context
+    # Note: Ensure you have the necessary environment set up to run this code, including the
+    # LangChain and Groq libraries installed and configured.
+    # You can run this script in an environment where the Groq model is accessible.
+    # Make sure to handle any exceptions or errors that may arise during execution.