Update app.py

app.py

@@ -1,13 +1,8 @@
-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
+import os
 
-# Retrieve the API key from environment variables (for Hugging Face Spaces)
-# On Hugging Face, you'll add GROQ_API_KEY as a Space Secret.
+# Retrieve the API key from environment variables
 GROQ_API_KEY = os.environ.get('GROQ_API_KEY')
 
 # Initialize the Groq client
@@ -15,20 +10,20 @@ 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
+# Use a valid Groq model ID
+groq_model_name = 'llama-3.3-70b-versatile' 
 
 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'"
+        return "Please provide a topic for the LinkedIn post."
 
-    # Construct the prompt for the Groq API
-    prompt = f"""Generate a professional and engaging LinkedIn post about '{topic}'.\n"""
+    # Construct the prompt
+    prompt = f"Generate a professional and engaging LinkedIn post about '{topic}'.\n"
     if keywords:
         prompt += f"Include keywords like {keywords}.\n"
     if tone:
@@ -41,7 +36,6 @@ def generate_linkedin_post(topic, keywords, tone, call_to_action, special_reques
     prompt += "\nThe post should be concise, impactful, and suitable for a professional audience."
 
     try:
-        # Make the API call to Groq
         chat_completion = groq_client.chat.completions.create(
             messages=[
                 {
@@ -55,32 +49,22 @@ def generate_linkedin_post(topic, keywords, tone, call_to_action, special_reques
         )
         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 as a secret and you have internet access."
-
+        return f"An error occurred: {e}"
 
 # Create the Gradio interface
 iface = gr.Interface(
     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"),
-        gr.Textbox(label="Tone (optional)", placeholder="e.g., professional and inspiring, informative, enthusiastic"),
-        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")
+        gr.Textbox(label="Topic (required)", placeholder="e.g., AI in education"),
+        gr.Textbox(label="Keywords (optional)", placeholder="e.g., innovation, skills"),
+        gr.Textbox(label="Tone (optional)", placeholder="e.g., professional"),
+        gr.Textbox(label="Call to Action (optional)", placeholder="e.g., Share your thoughts!"),
+        gr.Textbox(label="Special Request (optional)", placeholder="e.g., include #Tech")
     ],
-    outputs=gr.Textbox(label="Generated LinkedIn Post", lines=10), # Removed show_copy_button=True
+    outputs=gr.Textbox(label="Generated LinkedIn Post", lines=10),
     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!"
+    description="Generate professional posts using Groq."
 )
 
-# Launch the Gradio app
-# 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.")
+    iface.launch(server_name="0.0.0.0", server_port=7860)