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.env

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+GROQ_API_KEY='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'

chatbot.py

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+import os
+from langchain_groq import ChatGroq
+from langchain.chains import ConversationChain
+from langchain.memory import ConversationBufferMemory
+from dotenv import load_dotenv
+import gradio as gr
+
+# Load environment variables
+load_dotenv()
+groq_api_key = os.getenv('GROQ_API_KEY')
+
+if not groq_api_key:
+    raise ValueError("GROQ_API_KEY not found in environment variables. Please add it to your .env file.")
+
+# Initialize chatbot components
+llm = ChatGroq(groq_api_key=groq_api_key, model_name="mixtral-8x7b-32768")
+memory = ConversationBufferMemory()
+conversation = ConversationChain(llm=llm, memory=memory)
+
+def add_message(history, message):
+    history.append((message, None))
+    return history, gr.Textbox(value="", interactive=True)
+
+def bot(history):
+    if not history:
+        initial_message = "Hello! How can I assist you today?"
+        history.append((None, initial_message))
+        return history
+
+    message = history[-1][0]
+    
+    try:
+        response = conversation.predict(input=message)
+    except Exception as e:
+        response = f"I'm sorry, but I encountered an error: {str(e)}"
+    
+    history[-1] = (history[-1][0], response)
+    return history
+
+def clear_chat():
+    global memory
+    memory.clear()
+    return []
+
+with gr.Blocks() as demo:
+    with gr.Column():
+        chatbot = gr.Chatbot([], elem_id="chatbot")
+        msg = gr.Textbox(label="Message")
+        clear = gr.Button("Clear")
+
+        chat_msg = msg.submit(add_message, [chatbot, msg], [chatbot, msg], queue=False).then(
+            bot, chatbot, chatbot
+        )
+
+        clear.click(clear_chat, None, chatbot, queue=False)
+
+    demo.queue()
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+langchain_groq
+langchain_community
+langchain
+langchain_core
+transformers
+gradio
+python-dotenv
+faiss-cpu
+pypdf
+sentence_transformers