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app.py

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+import os
+import uuid
+import tempfile
+import gradio as gr
+from dotenv import load_dotenv
+from groq import Groq
+from gtts import gTTS
+import pyglet
+
+# ---------------------------
+# 🔐 Load API key from .env
+# ---------------------------
+load_dotenv()
+GROQ_API_KEY = os.getenv("GROQ_API_KEY")
+if not GROQ_API_KEY:
+    raise ValueError("❌ GROQ_API_KEY not found in .env. Add it like: GROQ_API_KEY=your_key_here")
+
+client = Groq(api_key=GROQ_API_KEY)
+
+# ---------------------------
+# 🔊 Voice output (optional)
+# ---------------------------
+def speak_text(text, lang="en"):
+    try:
+        tts = gTTS(text=text, lang=lang)
+        filename = os.path.join(tempfile.gettempdir(), f"{uuid.uuid4()}.mp3")
+        tts.save(filename)
+        music = pyglet.media.load(filename, streaming=False)
+        music.play()
+        pyglet.app.run()
+        os.remove(filename)
+    except Exception as e:
+        print(f"[TTS Error] {e}")
+
+# ---------------------------
+# 🧠 LLaMA-3 Role Response
+# ---------------------------
+def query_llama(role: str, topic: str, pro: str = "", con: str = "") -> str:
+    print(f"[Groq] Calling LLaMA for role: {role}")
+
+    if role == "pro":
+        prompt = f"You are a skilled debater arguing in favor of:\n'{topic}'.\nPresent 3 strong logical points."
+    elif role == "con":
+        prompt = f"You are a skilled debater arguing against:\n'{topic}'.\nPresent 3 strong logical points."
+    elif role == "moderator":
+        prompt = (
+            f"Topic: {topic}\n\n"
+            f"✅ Pro Argument:\n{pro}\n\n"
+            f"❌ Con Argument:\n{con}\n\n"
+            f"As a neutral judge, rate both arguments (1–10) based on logic, clarity, and evidence. Justify your score clearly."
+        )
+    else:
+        raise ValueError("Invalid role!")
+
+    try:
+        response = client.chat.completions.create(
+            model="llama3-70b-8192",
+            messages=[{"role": "user", "content": prompt}]
+        )
+        print(f"[Groq] ✅ Response OK for {role}")
+        return response.choices[0].message.content.strip()
+    except Exception as e:
+        print(f"❌ [Groq Error for {role}]: {e}")
+        return f"❌ Error: {e}"
+
+# ---------------------------
+# 🏛️ Debate Logic
+# ---------------------------
+def host_debate(topic: str) -> str:
+    print(f"\n🧠 Topic Received: {topic}")
+    if not topic.strip():
+        return "❌ Please enter a valid debate topic."
+
+    try:
+        print("→ Generating Pro argument...")
+        pro = query_llama("pro", topic)
+        print("✅ Pro:\n", pro)
+
+        print("→ Generating Con argument...")
+        con = query_llama("con", topic)
+        print("✅ Con:\n", con)
+
+        print("→ Moderating...")
+        verdict = query_llama("moderator", topic, pro=pro, con=con)
+        print("✅ Verdict:\n", verdict)
+
+        # 🗣️ Speak results (optional)
+        speak_text(f"Debate Topic: {topic}")
+        speak_text(f"Pro says: {pro}")
+        speak_text(f"Con says: {con}")
+        speak_text(f"Moderator verdict: {verdict}")
+
+        return f"""
+## 🏛️ Topic: **{topic}**
+
+---
+
+### ✅ Pro Side  
+{pro}
+
+---
+
+### ❌ Con Side  
+{con}
+
+---
+
+### ⚖️ Moderator's Verdict  
+{verdict}
+""".strip()
+
+    except Exception as e:
+        print(f"❌ Debate error: {e}")
+        return f"❌ Unexpected error: {e}"
+
+# ---------------------------
+# 🌐 Gradio Web Interface
+# ---------------------------
+demo = gr.Interface(
+    fn=host_debate,
+    inputs=gr.Textbox(label="Enter a Debate Topic", placeholder="e.g. Should AI be regulated?", lines=2),
+    outputs="markdown",
+    title="🤖 AI Debate Moderator",
+    description="Enter any controversial topic. Two LLaMA 3 agents will debate (Pro vs Con), and a moderator will score them based on logic and clarity.",
+    allow_flagging="never"
+)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+groq
+gradio
+python-dotenv
+gTTS
+pyglet