Create app2.py

app2.py

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+import os
+import json
+import vertexai
+from vertexai.generative_models import GenerativeModel
+import vertexai.preview.generative_models as generative_models
+import gradio as gr
+
+# Read the service account key JSON file path from environment variable
+SERVICE_ACCOUNT_KEY_PATH = os.getenv("GOOGLE_APPLICATION_CREDENTIALS")
+
+if not SERVICE_ACCOUNT_KEY_PATH:
+    raise ValueError("The GOOGLE_APPLICATION_CREDENTIALS environment variable is not set.")
+
+with open(SERVICE_ACCOUNT_KEY_PATH) as f:
+    service_account_info = json.load(f)
+os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = SERVICE_ACCOUNT_KEY_PATH
+
+def generate(text):
+    try:
+        vertexai.init(project="idyllic-now-424815-h2", location="us-central1")
+        model = GenerativeModel(
+            "gemini-1.5-flash-001",
+            system_instruction=[
+                'Objective', text, 'Instructions', 'Use words like "thou," "thee," "thy," "henceforth," "forsooth," and "verily."',
+                'Transform sentences to be elaborate and formal.',
+                'Maintain a delusional nobleman tone, addressing others as if they are of lower status.',
+                'Examples', ':', 'Input', ': "Hey, what\'s up?"', 'Output', ': "Greetings, fair compatriot! What news dost thou bring?"',
+                'Input', ': "Can you help me with this?"', 'Output', ': "Might I entreat thee to lend thine esteemed assistance in this matter?"',
+                'Input', ': "I don\'t like this."', 'Output', ': "I find this matter to be most displeasing and beneath my esteemed tastes."',
+                'Input', ': "You did a good job."', 'Output', ': "Thy efforts are commendable, and thou hast performed admirably."',
+                'Input', ': "See you later."', 'Output', ': "Until we meet again, may fortune smile upon thee."',
+                'Keep the original meaning, but make it sound like a nobleman from a fantasy world.'
+            ]
+        )
+        generation_config = {
+            'max_output_tokens': 3019,
+            'temperature': 1,
+            'top_p': 0.32,
+        }
+        safety_settings = {
+            generative_models.HarmCategory.HARM_CATEGORY_HATE_SPEECH: generative_models.HarmBlockThreshold.BLOCK_NONE,
+            generative_models.HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: generative_models.HarmBlockThreshold.BLOCK_NONE,
+            generative_models.HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT: generative_models.HarmBlockThreshold.BLOCK_NONE,
+            generative_models.HarmCategory.HARM_CATEGORY_HARASSMENT: generative_models.HarmBlockThreshold.BLOCK_NONE,
+        }
+        responses = model.generate_content(
+            [text],
+            generation_config=generation_config,
+            safety_settings=safety_settings,
+            stream=True,
+        )
+
+        response_text = ""
+        for response in responses:
+            response_text += response.text
+
+        return response_text if response_text else "No valid response generated or response was blocked."
+
+    except Exception as e:
+        return str(e)
+
+# JavaScript to copy text to clipboard
+copy_js = """
+function copyText() {
+    const outputText = document.querySelector('textarea').value;
+    navigator.clipboard.writeText(outputText).then(function() {
+        alert('Text copied to clipboard');
+    }, function(err) {
+        alert('Failed to copy text: ', err);
+    });
+}
+"""
+
+# Gradio interface
+with gr.Blocks() as iface:
+    input_text = gr.Textbox(lines=2, placeholder="Enter text here...")
+    output_text = gr.Textbox(lines=5, interactive=False)
+    copy_button = gr.Button("Copy Output Text")
+    
+    def copy_to_clipboard():
+        return gr.update(_js="copyText()")
+    
+    input_text.change(generate, inputs=input_text, outputs=output_text)
+    copy_button.click(copy_to_clipboard)
+
+    gr.Markdown(f"<script>{copy_js}</script>")
+
+    gr.Markdown("<h1>Chuunibyou Text Generator</h1>")
+    gr.Markdown("Transform text into an elaborate and formal style with a nobleman tone.")
+
+if __name__ == "__main__":
+    iface.launch()