Create app.py

app.py

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+import os
+from groq import Groq
+from dotenv import load_dotenv
+import gradio as gr
+
+# Load environment variables from .env file
+load_dotenv()
+
+# Initialize Groq client
+client = Groq(api_key=GROQ_API_KEY)
+
+# Function to moderate content
+def moderate_content(user_input):
+    try:
+        # Generate moderation report using Groq API
+        chat_completion = client.chat.completions.create(
+            messages=[
+                {
+                    "role": "user",
+                    "content": f"Analyze this content for violations: {user_input}",
+                }
+            ],
+            model="llama-3.3-70b-versatile",
+            stream=False,
+        )
+        response = chat_completion.choices[0].message.content
+
+        # Suggest actions based on the response
+        if "violation" in response.lower():
+            action = "Flag or delete this content."
+        else:
+            action = "Content is compliant."
+
+        return response, action
+
+    except Exception as e:
+        return f"Error: {str(e)}", "No action suggested."
+
+# Define Gradio interface
+with gr.Blocks() as app:
+    gr.Markdown("### Content Moderation with Groq API")
+    with gr.Row():
+        with gr.Column():
+            user_input = gr.Textbox(
+                label="Enter Content for Moderation",
+                placeholder="Type the content you want to moderate here...",
+            )
+            moderate_btn = gr.Button("Moderate Content")
+        with gr.Column():
+            moderation_result = gr.Textbox(label="Moderation Result", interactive=False)
+            suggested_action = gr.Textbox(label="Suggested Action", interactive=False)
+
+    # Connect button to moderation function
+    moderate_btn.click(
+        moderate_content,
+        inputs=[user_input],
+        outputs=[moderation_result, suggested_action],
+    )
+
+# Run the Gradio app
+if __name__ == "__main__":
+    app.launch()