Create app.py

app.py

@@ -0,0 +1,62 @@
+import gradio as gr
+
+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 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}'.
+"""
+    if keywords:
+        prompt += f"Include keywords like {keywords}.\n"
+    if tone:
+        prompt += f"The tone should be {tone}.\n"
+    if call_to_action:
+        prompt += f"Conclude with a call to action: '{call_to_action}'\n"
+    if special_request:
+        prompt += f"Also consider this special request: '{special_request}'.\n"
+
+    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=[
+                {
+                    "role": "user",
+                    "content": prompt,
+                }
+            ],
+            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
+        )
+        # 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."
+
+
+# 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'
+    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")
+    ],
+    outputs=gr.Textbox(label="Generated LinkedIn Post", lines=10, show_copy_button=True), # 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"
+)
+
+# 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)