Update app.py

app.py

@@ -1,14 +1,34 @@
+import os
+
+# Get the existing code for the Gradio app and correct the 'show_copy_button' error
+gradio_app_code = """
 import gradio as gr
+from groq import Groq
+import os # Import os for environment variables
+
+# Retrieve the API key from environment variables (for Hugging Face Spaces)
+# On Hugging Face, you'll add GROQ_API_KEY as a Space Secret.
+GROQ_API_KEY = os.environ.get('GROQ_API_KEY')
+
+# Initialize the Groq client
+groq_client = Groq(
+    api_key=GROQ_API_KEY,
+)
+
+# Define the Groq model to use
+groq_model_name = 'openai/gpt-oss-120b' # Make sure this matches your chosen model
 
 def generate_linkedin_post(topic, keywords, tone, call_to_action, special_request):
     """Generates a LinkedIn post using the Groq API based on user inputs."""
 
+    if not GROQ_API_KEY:
+        return "Error: GROQ_API_KEY not found. Please set it as a secret in your Hugging Face Space."
+
     if not topic:
         return "Please provide a topic for the LinkedIn post.\n\nExample: 'The future of AI in healthcare'"
 
     # Construct the prompt for the Groq API
-    prompt = f"""Generate a professional and engaging LinkedIn post about '{topic}'.
-"""
+    prompt = f"""Generate a professional and engaging LinkedIn post about '{topic}'.\n"""
     if keywords:
         prompt += f"Include keywords like {keywords}.\n"
     if tone:
@@ -30,19 +50,17 @@ def generate_linkedin_post(topic, keywords, tone, call_to_action, special_reques
                 }
             ],
             model=groq_model_name,
-            temperature=0.7, # Adjust for creativity: 0.0 (less creative) to 1.0 (more creative)
-            max_tokens=500 # Set a maximum length for the generated post
+            temperature=0.7,
+            max_tokens=500
         )
-        # Extract the generated content
         return chat_completion.choices[0].message.content
     except Exception as e:
-        return f"An error occurred while generating the post: {e}\n\nPlease ensure your GROQ_API_KEY is correctly set in Colab secrets and you have internet access."
+        return f"An error occurred while generating the post: {e}\n\nPlease ensure your GROQ_API_KEY is correctly set as a secret and you have internet access."
 
 
 # Create the Gradio interface
-# We define the inputs (textboxes for topic, keywords, etc.) and the output (a textbox for the generated post)
 iface = gr.Interface(
-    fn=generate_linkedin_post, # The function to run when the user clicks 'Submit'
+    fn=generate_linkedin_post,
     inputs=[
         gr.Textbox(label="Topic (required)", placeholder="e.g., AI in education, New programming language features"),
         gr.Textbox(label="Keywords (optional)", placeholder="e.g., personalized learning, future skills, innovation"),
@@ -50,13 +68,19 @@ iface = gr.Interface(
         gr.Textbox(label="Call to Action (optional)", placeholder="e.g., Share your thoughts in the comments!, Visit our website!"),
         gr.Textbox(label="Special Request (optional)", placeholder="e.g., Make it exactly 3 sentences, include a specific hashtag #FutureOfWork")
     ],
-    outputs=gr.Textbox(label="Generated LinkedIn Post", lines=10), # Output text box with 10 lines height, explicitly showing copy button
-    title=" I will help you create a Linkedin Post ",
-    description="Generate professional and engaging LinkedIn posts using Saeed's Bot. Fill in the details below and click 'Submit' to get your post"
+    outputs=gr.Textbox(label="Generated LinkedIn Post", lines=10), # Removed show_copy_button=True
+    title="🚀 LinkedIn Post Generator with Groq 🚀",
+    description="Generate professional and engaging LinkedIn posts using the powerful Groq API. Fill in the details below and click 'Submit' to get your post!"
 )
 
 # Launch the Gradio app
-# `share=True` creates a public, shareable link that works for 72 hours.
-# For local development, `share=False` would launch on your local machine.
-print("Launching Gradio app...")
-iface.launch(share=True)
+# For Hugging Face Spaces, Gradio will automatically handle the launch configuration.
+if __name__ == "__main__":
+    iface.launch(server_name="0.0.0.0", server_port=7860)
+"""
+
+# Write the content to app.py
+with open('app.py', 'w') as f:
+    f.write(gradio_app_code)
+
+print("Created app.py with corrected code.")