Create app.py

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+from transformers import pipeline
+
+# Initialize your chatbot model here with LLaMA-2
+model_name = "Llama-2-7b"  # Adjust this to the specific variant of LLaMA-2 you wish to use
+chatbot = pipeline("text-generation", model=model_name, use_auth_token="your_hugging_face_token_here")
+
+def chat_with_bot(user_input):
+    # Generating a response from the chatbot model
+    responses = chatbot(user_input, max_length=50, num_return_sequences=1)
+    return responses[0]["generated_text"]
+
+# Setting up the Gradio interface
+iface = gr.Interface(fn=chat_with_bot,
+                     inputs=gr.inputs.Textbox(lines=2, placeholder="Type your question here..."),
+                     outputs="text",
+                     title="Advanced Chatbot",
+                     description="This is an advanced chatbot powered by LLaMA-2. Type your question and get an answer.")
+
+if __name__ == "__main__":
+    iface.launch()