Create app.py

app.py

@@ -0,0 +1,103 @@
+import streamlit as st
+import requests
+import os
+
+# ----------------------------
+# Page Config
+# ----------------------------
+st.set_page_config(
+    page_title="LinkedIn Post Generator",
+    page_icon="🚀",
+    layout="centered"
+)
+
+st.title("🚀 AI LinkedIn Post Generator")
+st.write("Generate viral-style LinkedIn posts using AI")
+
+# ----------------------------
+# Get HF API Key from Secrets
+# ----------------------------
+HF_API_KEY = os.getenv("HF_API_KEY")
+
+if not HF_API_KEY:
+    st.error("⚠️ Please add your HF_API_KEY in Hugging Face Space Secrets.")
+    st.stop()
+
+API_URL = "https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.2"
+
+headers = {
+    "Authorization": f"Bearer {HF_API_KEY}"
+}
+
+# ----------------------------
+# User Inputs
+# ----------------------------
+topic = st.text_input("Enter your LinkedIn post topic")
+
+tone = st.selectbox(
+    "Select Tone",
+    [
+        "Professional",
+        "Motivational",
+        "Storytelling",
+        "Bold & Controversial",
+        "Friendly"
+    ]
+)
+
+generate = st.button("Generate Post")
+
+# ----------------------------
+# Prompt Template
+# ----------------------------
+def build_prompt(topic, tone):
+    return f"""
+You are a LinkedIn content expert.
+
+Write a viral LinkedIn post about: "{topic}"
+
+Tone: {tone}
+
+Requirements:
+- Strong hook in first line
+- Short punchy paragraphs
+- Use spacing for readability
+- Add bullet points if relevant
+- End with engagement question
+- Add 3-5 relevant hashtags
+
+Make it authentic and high engagement.
+"""
+
+
+# ----------------------------
+# Generate Response
+# ----------------------------
+if generate:
+    if not topic:
+        st.warning("Please enter a topic.")
+    else:
+        with st.spinner("Generating your viral post..."):
+
+            prompt = build_prompt(topic, tone)
+
+            payload = {
+                "inputs": prompt,
+                "parameters": {
+                    "max_new_tokens": 400,
+                    "temperature": 0.7,
+                    "return_full_text": False
+                }
+            }
+
+            response = requests.post(API_URL, headers=headers, json=payload)
+
+            if response.status_code == 200:
+                result = response.json()
+                generated_text = result[0]["generated_text"]
+
+                st.success("✅ Your LinkedIn Post is Ready!")
+                st.text_area("Generated Post", generated_text, height=400)
+
+            else:
+                st.error("Error generating content. Try again later.")