Create app.py

app.py

@@ -0,0 +1,30 @@
+#import libraries here
+import gradio as gr
+import random
+from huggingface_hub import InferenceClient
+
+#AI API being used
+client= InferenceClient("Qwen/Qwen2.5-7B-Instruct-1M")
+
+#defining role of AI and user
+def respond(message,history):
+
+    messages = [{"role": "assistant", "content": "You are a friendly chatbot."}]
+
+    if history:
+        messages.extend(history) #keep adding history 
+
+    messages.append({"role":"user", "content": message})
+
+    response=client.chat_completion(messages, max_tokens=100) #capping how many words the LLM is allowed to generate as a respond (100 words)
+
+    return response['choices'][0]['message']['content'].strip() #storing value of response in a readable format to display
+    
+
+#Defining chatbot giving user a UI to interact, see their conversation history, and see new messages using built in gr feature
+#ChatInterface requires at least one parameter(a function)
+chatbot = gr.ChatInterface(respond,type="messages", title="AI Chatbot", theme="Taithrah/Minimal")
+
+#launching chatbot
+chatbot.launch()
+#You may run into errors when you're trying different models. To see the error messages, set debug to True in launch()