Upload 2 files

gradio_app.py

@@ -0,0 +1,73 @@
+import gradio as gr
+import requests
+import logging
+
+logger = logging.getLogger(__name__)
+logging.basicConfig(level=logging.INFO)
+
+# OpenRouter API Configuration
+API_KEY = "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"
+BASE_URL = "https://openrouter.ai/api/v1/chat/completions"
+MODEL = "arcee-ai/trinity-large-preview:free"
+
+def get_ai_response(user_message, history):
+    """Get response from OpenRouter API"""
+    try:
+        headers = {
+            "Authorization": f"Bearer {API_KEY}",
+            "Content-Type": "application/json"
+        }
+        
+        # Build messages from history
+        messages = [{"role": "system", "content": "You are a helpful chatbot. Provide concise and helpful responses."}]
+        
+        # Add history - handle different formats safely
+        if history:
+            for item in history:
+                if isinstance(item, (list, tuple)) and len(item) >= 2:
+                    messages.append({"role": "user", "content": item[0]})
+                    if item[1]:  # Only add if assistant response exists
+                        messages.append({"role": "assistant", "content": item[1]})
+        
+        messages.append({"role": "user", "content": user_message})
+        
+        payload = {
+            "model": MODEL,
+            "messages": messages,
+            "temperature": 0.7,
+            "max_tokens": 500
+        }
+        
+        response = requests.post(BASE_URL, headers=headers, json=payload, timeout=10)
+        response.raise_for_status()
+        
+        data = response.json()
+        if "choices" in data and len(data["choices"]) > 0:
+            return data["choices"][0]["message"]["content"]
+        else:
+            return "I apologize, but I couldn't generate a response. Please try again."
+    
+    except Exception as e:
+        logger.error(f"API Error: {str(e)}")
+        return f"Error: {str(e)}"
+
+def chat(user_message, history):
+    """Main chat function"""
+    if not user_message.strip():
+        return ""
+    
+    # Get AI response
+    bot_response = get_ai_response(user_message, history)
+    
+    return bot_response
+
+# Create the Gradio interface
+demo = gr.ChatInterface(
+    chat,
+    examples=["Hello"],
+    title="SAK Informatics Chatbot By Namani Vamshi Krishna",
+    description="Chat with an AI assistant",
+)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

@@ -0,0 +1,2 @@
+gradio==4.26.0
+requests==2.31.0