Create app.py

app.py

@@ -0,0 +1,39 @@
+import gradio as gr
+from transformers import pipeline
+
+# ----------------------------
+# Load personality and knowledge
+# ----------------------------
+with open("personality.txt", "r") as f:
+    personality_core = f.read()
+
+with open("quantum_knowledge.txt", "r") as f:
+    quantum_knowledge = f.read()
+
+# ----------------------------
+# Load language model
+# ----------------------------
+generator = pipeline("text-generation", model="gpt2")  # can upgrade to a stronger model later
+
+# ----------------------------
+# Response function
+# ----------------------------
+def respond(user_input):
+    # Combine personality + quantum knowledge + user input
+    prompt = f"{personality_core}\n\nQuantum Knowledge Reference:\n{quantum_knowledge}\n\nUser said: {user_input}\nResponse:"
+    response = generator(prompt, max_length=300, do_sample=True)[0]['generated_text']
+    # Remove repeated prompt from the output
+    return response.replace(prompt, '').strip()
+
+# ----------------------------
+# Gradio interface
+# ----------------------------
+iface = gr.Interface(
+    fn=respond,
+    inputs=gr.Textbox(lines=2, placeholder="Say something..."),
+    outputs="text",
+    title="Quantum Activation Bot",
+    description="A bot infused with a quantum-aware essence."
+)
+
+iface.launch()