Create app.py

app.py

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+import os
+import google.generativeai as genai
+import gradio as gr
+
+# Configure the Gemini API
+genai.configure(api_key=os.environ["GEMINI_API_KEY"])
+
+# Define the model with a placeholder for system instruction
+def generate_text(system_instruction, prompt):
+    model = genai.GenerativeModel(
+        model_name="gemini-1.5-flash",
+        system_instruction=system_instruction,
+        generation_config={
+            "temperature": 1,
+            "top_p": 0.95,
+            "top_k": 64,
+            "max_output_tokens": 8192,
+            "response_mime_type": "text/plain",
+        }
+    )
+
+    chat_session = model.start_chat(history=[])
+    response = chat_session.send_message(prompt)
+    
+    return response.text
+
+# Gradio interface
+iface = gr.Interface(
+    fn=generate_text,
+    inputs=[
+        gr.Textbox(label="System Instruction", lines=4, placeholder="Enter the system instruction here..."),
+        gr.Textbox(label="Prompt", lines=4, placeholder="Enter the prompt here...")
+    ],
+    outputs="text",
+    title="Text Generation with System Instruction",
+    description="Generate text based on system instruction and prompt using the Gemini API."
+)
+
+if __name__ == "__main__":
+    iface.launch()