Upload app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# 1. Load the GPT-Neo model (free to use)
+generator = pipeline("text-generation", model="EleutherAI/gpt-neo-1.3B")
+
+# 2. Create multi-turn chat memory
+history = []
+
+def chat(input_text):
+    global history
+    # Add user input to history
+    history.append(f"User: {input_text}")
+    # Prepare prompt with conversation history
+    prompt = "\n".join(history) + "\nAI:"
+    # Generate response
+    response = generator(prompt, max_length=200, do_sample=True, temperature=0.7)
+    ai_text = response[0]["generated_text"]
+    # Add AI response to history
+    history.append(f"AI: {ai_text}")
+    return ai_text
+
+# 3. Gradio interface
+iface = gr.Interface(
+    fn=chat,
+    inputs=gr.Textbox(lines=2, placeholder="Type your message here..."),
+    outputs="text",
+    title="AltisBot",  # <-- Your chatbot name here
+    description="Your free AI assistant chatbot"
+)
+
+# 4. Launch the interface
+iface.launch()