Update app.py

app.py

@@ -1,36 +1,41 @@
-from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
 import gradio as gr
 
-model_name = "EleutherAI/gpt-neo-1.3B"
+model_name = "google/flan-t5-base"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
-model = AutoModelForCausalLM.from_pretrained(model_name)
-pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+pipe = pipeline("text2text-generation", model=model, tokenizer=tokenizer)
 
+# New, more specific instructions
 personas = {
-    "🟢 Optimist": "Give an optimistic argument with 2 benefits and one example.",
-    "🔴 Pessimist": "Give a critical argument with 2 drawbacks and one example.",
-    "🟡 Neutral": "List pros and cons and give a neutral summary."
+    "🟢 Optimist": "Give a detailed, optimistic argument with at least two clear benefits and an example.",
+    "🔴 Pessimist": "Give a detailed, critical argument highlighting at least two risks or drawbacks and an example.",
+    "🟡 Neutral": "Provide a balanced perspective. Start by listing pros, then cons, and conclude with a neutral summary."
 }
 
 def generate_debate(topic):
     results = []
     for label, instruction in personas.items():
         prompt = (
-            f"Debate Topic: {topic}\n"
-            f"Persona: {label}\n"
+            f"You are an experienced debater.\n"
+            f"Debate Topic: \"{topic}\"\n"
             f"{instruction}\n"
-            f"Write 3–4 sentences."
+            f"Write at least 3–4 sentences."
         )
-        output = pipe(prompt, max_new_tokens=150, temperature=0.7)[0]['generated_text']
-        results.append(f"### {label}\n{output.strip()}")
+        response = pipe(
+            prompt,
+            max_new_tokens=180,  # increased from 120
+            temperature=0.7
+        )[0]['generated_text'].strip()
+        results.append(f"### {label}\n{response}")
     return "\n\n".join(results)
 
 demo = gr.Interface(
     fn=generate_debate,
     inputs=gr.Textbox(label="Debate Topic"),
     outputs=gr.Markdown(),
-    title="🎙️ Debate Simulator with GPT-Neo",
-    description="Debate with Optimist, Pessimist & Neutral perspectives using GPT-Neo-1.3B."
+    title="🎙️ Multi-Agent Debate Simulator",
+    description="Debates with Optimist, Pessimist & Neutral perspectives using FLAN-T5-Base."
 )
 
 demo.launch()