Create app.py

app.py

@@ -0,0 +1,76 @@
+import gradio as gr
+import requests
+import os
+
+# 🔐 Get API key from Hugging Face Secrets
+API_KEY = os.getenv("groc_api_key")
+
+API_URL = "https://api.groq.com/openai/v1/chat/completions"
+
+
+def generate_linkedin_post(topic, tone, audience, length):
+
+    prompt = f"""
+    Write a professional LinkedIn post.
+
+    Topic: {topic}
+    Tone: {tone}
+    Target Audience: {audience}
+    Length: {length}
+
+    Requirements:
+    - Strong hook at start
+    - Human and engaging tone
+    - Add storytelling if possible
+    - Add hashtags at the end
+    - Make it viral-ready for LinkedIn
+    """
+
+    headers = {
+        "Authorization": f"Bearer {API_KEY}",
+        "Content-Type": "application/json"
+    }
+
+    payload = {
+        "model": "llama-3.1-8b-instant",
+        "messages": [
+            {"role": "user", "content": prompt}
+        ],
+        "temperature": 0.7
+    }
+
+    response = requests.post(API_URL, headers=headers, json=payload)
+
+    if response.status_code == 200:
+        return response.json()["choices"][0]["message"]["content"]
+    else:
+        return response.text
+
+
+# 🎨 UI
+css = """
+body { background-color: #f5f7fb; }
+"""
+
+demo = gr.Blocks(css=css, theme=gr.themes.Soft())
+
+with demo:
+    gr.Markdown("# AI LinkedIn Post Generator 🚀")
+
+    with gr.Row():
+        topic = gr.Textbox(label="Topic")
+        tone = gr.Dropdown(["Professional", "Motivational", "Casual", "Storytelling"])
+        audience = gr.Textbox(label="Target Audience")
+        length = gr.Dropdown(["Short", "Medium", "Long"])
+
+    btn = gr.Button("Generate")
+
+    output = gr.Textbox(label="Generated Post", lines=20)
+
+    btn.click(
+        generate_linkedin_post,
+        inputs=[topic, tone, audience, length],
+        outputs=output
+    )
+
+demo.launch()