Create app.py

app.py

@@ -0,0 +1,33 @@
+from transformers import pipeline
+import streamlit as st
+
+# Load the text generation pipeline
+pipe = pipeline("text-generation", model="meta-llama/Meta-Llama-3-8B")
+
+def generate_blog(topic, no_words):
+    # Create the prompt
+    prompt = f"Write a blog on the topic '{topic}' within {no_words} words."
+    
+    # Generate the blog content
+    result = pipe(prompt, max_length=int(no_words), num_return_sequences=1)
+    
+    # Extract the generated text
+    blog_content = result[0]['generated_text']
+    return blog_content
+
+# Streamlit app
+st.set_page_config(page_title="Blog Generator", page_icon="📝")
+st.title("Blog Content Generator 📝")
+
+# Input fields
+topic = st.text_input("Enter the Blog Topic")
+no_words = st.number_input("Enter the Number of Words", min_value=50, max_value=1000, value=200, step=50)
+
+if st.button("Generate Blog"):
+    if topic and no_words:
+        with st.spinner("Generating blog content..."):
+            blog_content = generate_blog(topic, no_words)
+            st.subheader("Generated Blog Content")
+            st.write(blog_content)
+    else:
+        st.error("Please provide both the blog topic and the number of words.")