Create app.py

app.py

@@ -0,0 +1,47 @@
+import gradio as gr
+from huggingface_hub import InferenceClient
+
+client = InferenceClient(
+    "meta-llama/Meta-Llama-3-8B-Instruct",
+)
+
+def chat_mem(message,chat_history):
+
+  print(len(chat_history))
+  chat_history_role = [{"role": "system", "content": "You are a helpful assistant." },]
+  if chat_history != []:
+    for i in range(len(chat_history)):
+      chat_history_role.append({"role": "user", "content": chat_history[i][0]})
+      chat_history_role.append({"role": "assistant", "content": chat_history[i][1]})
+  chat_history_role.append({"role": "user", "content": message})
+  
+
+  chat_completion = client.chat_completion(
+  messages=chat_history_role,
+  max_tokens=500,
+  # stream=True
+  )
+  chat_history_role.append({"role": "assistant", "content": chat_completion.choices[0].message.content})
+  print(chat_history_role)
+
+  modified = map(lambda x: x["content"], chat_history_role)
+  a = list(modified)
+  chat_history=[(a[i*2+1], a[i*2+2]) for i in range(len(a)//2)]
+
+  return "", chat_history
+
+
+with gr.Blocks() as demo:
+  with gr.Row():
+    with gr.Column():
+      chatbot = gr.Chatbot()
+      msg =  gr.Textbox(interactive=True, )
+      with gr.Row():
+        clear = gr.ClearButton([msg, chatbot], icon="https://img.icons8.com/?size=100&id=Xnx8cxDef16O&format=png&color=000000")
+        send_btn = gr.Button("Send", variant='primary', icon="https://img.icons8.com/?size=100&id=g8ltXTwIfJ1n&format=png&color=000000")
+      msg.submit(fn=chat_mem, inputs=[msg, chatbot], outputs=[msg, chatbot])
+      send_btn.click(fn=chat_mem, inputs=[msg, chatbot], outputs=[msg, chatbot])
+
+
+if __name__ == "__main__":
+    demo.launch()