Create app.py

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+from transformers import pipeline, Conversation
+
+# Load the conversational pipeline with a local model
+chatbot = pipeline("conversational", model="facebook/blenderbot-400M-distill")
+
+def chat(user_input):
+    # Initialize a conversation with the user's message
+    conversation = Conversation(user_input)
+    # Process the conversation with the model
+    updated_conversation = chatbot(conversation)
+    # Return the most recent generated response
+    return updated_conversation.generated_responses[-1]
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=chat,
+    inputs=gr.Textbox(lines=2, placeholder="Type your message here..."),
+    outputs="text",
+    title="Local Chatbot using Transformers",
+    description="A simple chat application running a local model with Hugging Face Transformers."
+)
+
+if __name__ == "__main__":
+    iface.launch()