Create app.py

app.py

@@ -0,0 +1,97 @@
+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', """You are an AI model designed to provide concise information about big data analytics across various fields without mentioning the question. Respond with a focused, one-line answer that captures the essence of the key risk, benefit, or trend associated with the topic.
+
+            
+input: What do you consider the most significant risk of over-reliance on big data analytics in stock market risk management?
+output: Increased market volatility.
+
+input: What is a major benefit of big data analytics in healthcare?
+output: Enhanced patient care through personalized treatment.
+
+input: What is a key challenge of big data analytics in retail?
+output: Maintaining data privacy and security.
+
+input: What is a primary advantage of big data analytics in manufacturing?
+output: Improved production efficiency and predictive maintenance.
+
+input: What is a significant risk associated with big data analytics in education?
+output: Potential widening of the achievement gap if data is not used equitably. """
+
+            ]
+        )
+        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)
+
+# # Custom HTML and JavaScript for "Copy to Clipboard" functionality
+# js = """
+
+#     function copyToClipboard() {
+#         var copyText = document.getElementById("output-textbox");
+#         copyText.select();
+#         document.execCommand("copy");
+#     }
+# """
+
+iface = gr.Interface(
+    fn=generate,
+
+    inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),
+    outputs="text",
+    title="Chuunibyou Text Generator",
+    description="Transform text into an elaborate and formal style with a nobleman tone.",
+    live=False
+)
+
+def launch_custom_interface():
+    iface.launch()
+    with gr.TabbedInterface(fn=generate, inputs=gr.Textbox(lines=2, placeholder="Enter text here..."), outputs=gr.HTML(label="Output")) as ti:
+        ti.add(custom_html)
+
+if __name__ == "__main__":
+    launch_custom_interface()