Create app.py

app.py

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+import os
+import google.generativeai as genai
+import gradio as gr
+from dotenv import load_dotenv
+
+# Carrega variáveis de ambiente
+load_dotenv()
+
+# Configura a API do Gemini
+GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
+genai.configure(api_key=GOOGLE_API_KEY)
+
+# Configurações do modelo
+generation_config = {
+    "temperature": 0.7,
+    "top_p": 0.95,
+    "top_k": 40,
+    "max_output_tokens": 2048,
+}
+
+# Inicializa o modelo
+model = genai.GenerativeModel(
+    model_name="gemini-1.5-pro",  # ou "gemini-1.5-flash" para mais rápido
+    generation_config=generation_config,
+)
+
+def chat_with_gemini(message, history):
+    """
+    Função para interagir com o Gemini
+    """
+    try:
+        # Inicia uma conversa
+        chat = model.start_chat(history=[])
+        
+        # Envia a mensagem e obtém resposta
+        response = chat.send_message(message)
+        
+        return response.text
+    except Exception as e:
+        return f"Erro: {str(e)}"
+
+# Cria a interface com Gradio
+def create_interface():
+    with gr.Blocks(theme=gr.themes.Soft(), title="Chat com Gemini") as demo:
+        gr.Markdown("""
+        # 🤖 Chat com Google Gemini
+        ### Converse com o modelo Gemini do Google AI
+        """)
+        
+        chatbot = gr.Chatbot(label="Conversa", height=500)
+        
+        with gr.Row():
+            msg = gr.Textbox(
+                label="Sua mensagem",
+                placeholder="Digite sua pergunta aqui...",
+                scale=9
+            )
+            send_btn = gr.Button("Enviar", variant="primary", scale=1)
+        
+        clear_btn = gr.Button("Limpar conversa", variant="secondary")
+        
+        def respond(message, chat_history):
+            if not message:
+                return "", chat_history
+            
+            # Obtém resposta do Gemini
+            response = chat_with_gemini(message, chat_history)
+            
+            # Adiciona à conversa
+            chat_history.append((message, response))
+            
+            return "", chat_history
+        
+        def clear_chat():
+            return []
+        
+        # Conecta os eventos
+        send_btn.click(
+            respond,
+            inputs=[msg, chatbot],
+            outputs=[msg, chatbot]
+        )
+        
+        msg.submit(
+            respond,
+            inputs=[msg, chatbot],
+            outputs=[msg, chatbot]
+        )
+        
+        clear_btn.click(
+            clear_chat,
+            outputs=[chatbot]
+        )
+    
+    return demo
+
+# Executa a aplicação
+if __name__ == "__main__":
+    demo = create_interface()
+    demo.launch(server_name="0.0.0.0", server_port=7860)