Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load lightweight model
+philo_model = pipeline("text-generation", model="gpt2")
+
+def analyze_text(text):
+    if not text.strip():
+        return "Please enter some text!"
+    
+    # Detect philosophical topic
+    keywords = ["philosophy", "ethics", "kant", "nietzsche", "existentialism", 
+                "metaphysics", "epistemology", "ontology", "stoicism", "rationalism"]
+    is_philo = any(kw in text.lower() for kw in keywords)
+    
+    if is_philo:
+        response = philo_model(
+            f"Discuss this philosophical concept in detail: {text}",
+            max_length=200,
+            do_sample=True,
+            temperature=0.7,
+            top_p=0.9
+        )
+        return response[0]["generated_text"]
+    else:
+        return "This text doesn't appear to be philosophical. Please enter a philosophical text."
+
+# Gradio interface
+demo = gr.Interface(
+    fn=analyze_text,
+    inputs=gr.Textbox(label="Enter philosophical text (English only)"),
+    outputs=gr.Textbox(label="Philosophical Analysis"),
+    title="🤖 Philsof - Philosophy Analyzer",
+    description="Analyze and discuss philosophical concepts using AI",
+    examples=[
+        ["What is Kant's categorical imperative?"],
+        ["Explain Nietzsche's concept of Ubermensch"],
+        ["Compare rationalism and empiricism"]
+    ],
+    allow_flagging="never"
+)
+
+demo.launch()