Update app.py

app.py

@@ -11,4 +11,49 @@ def chat_with_groq(prompt, history):
     messages = [{"role": "system", "content": "You are Faraz-Chatbot, a helpful assistant."}] 
     
     # Convert history to Groq format
-    for user_msg, bot_msg
+    for user_msg, bot_msg in history:
+        messages.append({"role": "user", "content": user_msg})
+        messages.append({"role": "assistant", "content": bot_msg})
+    
+    messages.append({"role": "user", "content": prompt})  # Add latest user query
+    
+    payload = {"model": "llama3-8b-8192", "messages": messages}  # Use Groq's LLaMA 3 model
+    
+    try:
+        response = requests.post("https://api.groq.com/openai/v1/chat/completions", headers=headers, json=payload)
+        response_data = response.json()
+
+        if response.status_code == 200:
+            return response_data["choices"][0]["message"]["content"]
+        else:
+            return f"API Error: {response_data.get('error', {}).get('message', 'Unknown error')}"
+    
+    except Exception as e:
+        return f"Exception Error: {str(e)}"
+
+# Function to handle user queries
+def chatbot(query, history):
+    if not query.strip():
+        return history  # Return previous history if query is empty
+    
+    response = chat_with_groq(query, history)
+
+    # Append user query and bot response as a tuple
+    history.append((query, response))
+    
+    return history  # Return updated history
+
+# Gradio Interface
+with gr.Blocks() as demo:
+    gr.HTML("<h1 style='text-align: center; color: #00FF00; font-family: monospace;'>☠️ FARAZ-CHATBOT ☠️</h1>")
+
+    chatbot_interface = gr.Chatbot()
+    user_input = gr.Textbox(placeholder="Ask me anything...", show_label=False)
+
+    history = gr.State([])  # Stores conversation history
+
+    # Automatically trigger response when Enter is pressed
+    user_input.submit(fn=chatbot, inputs=[user_input, history], outputs=[chatbot_interface, history])
+
+# Launch the chatbot
+demo.launch()