Create app.py

app.py

@@ -0,0 +1,70 @@
+import streamlit as st
+from groq import Groq
+import os
+
+# ---- PAGE CONFIG ----
+st.set_page_config(page_title="AI LinkedIn Post Generator", page_icon="💼")
+
+st.title("💼 AI LinkedIn Post Generator")
+st.write("Generate high-quality LinkedIn posts using AI 🚀")
+
+# ---- API KEY INPUT ----
+api_key = st.text_input("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", type="password")
+
+# ---- USER INPUTS ----
+tone = st.radio(
+    "Select Post Tone:",
+    ["Professional", "Casual", "Motivational", "Storytelling"]
+)
+
+topic = st.text_input("Enter your topic")
+audience = st.text_input("Target audience (e.g. students, developers)")
+
+# ---- GENERATE BUTTON ----
+if st.button("Generate Post"):
+
+    if not api_key:
+        st.error("Please enter your Groq API key")
+    elif not topic or not audience:
+        st.error("Please fill all fields")
+    else:
+        try:
+            # Initialize client
+            client = Groq(api_key=api_key)
+
+            # Prompt
+            prompt = f"""
+            Write a LinkedIn post.
+
+            Topic: {topic}
+            Audience: {audience}
+            Tone: {tone}
+
+            Make it:
+            - Engaging and scroll-stopping
+            - Include a strong hook
+            - Well-structured body
+            - End with a call-to-action (CTA)
+            - Use emojis and spacing
+            - Add relevant hashtags
+            """
+
+            # API call
+            response = client.chat.completions.create(
+                model="openai/gpt-oss-120b",  # Safe model
+                messages=[{"role": "user", "content": prompt}],
+                temperature=0.7,
+                max_tokens=500
+            )
+
+            post = response.choices[0].message.content
+
+            # Output
+            st.subheader("📄 Generated Post")
+            st.write(post)
+
+            # Copy option
+            st.code(post)
+
+        except Exception as e:
+            st.error(f"Error: {str(e)}")