Create app.py

app.py

@@ -0,0 +1,52 @@
+import streamlit as st
+from transformers import pipeline
+
+# Set the page configuration
+st.set_page_config(
+    page_title="News Report Generator",
+    layout="centered",
+    initial_sidebar_state="auto",
+)
+
+# Load the model with caching to improve performance
+@st.cache_resource
+def load_model():
+    model_name = "gpt2"  # Change to a larger model for more advanced outputs if needed
+    return pipeline("text-generation", model=model_name)
+
+text_generator = load_model()
+
+# Streamlit app UI
+st.title("📰 News Report Generator")
+st.markdown("Generate a compelling news report based on any given scenario.")
+
+# Input for the scenario and word count
+scenario = st.text_area(
+    "📜 Enter the Scenario:",
+    placeholder="Describe the scenario for the news report...",
+    height=150,
+)
+word_count = st.number_input(
+    "🔢 Desired Word Count:",
+    min_value=50,
+    max_value=1000,
+    step=50,
+    help="Specify the approximate number of words for the generated report.",
+)
+
+# Generate News Report button
+if st.button("📝 Generate News Report"):
+    if not scenario.strip():
+        st.error("❌ Please provide a scenario to generate the news report.")
+    else:
+        with st.spinner("Generating your news report..."):
+            try:
+                # Generate the news report
+                prompt = f"Write a news report on the following scenario: {scenario}\n\n"
+                generated_text = text_generator(prompt, max_length=int(word_count), num_return_sequences=1)
+                
+                # Display the result
+                st.subheader("📰 Generated News Report")
+                st.text_area("Report", value=generated_text[0]["generated_text"], height=400)
+            except Exception as e:
+                st.error(f"❌ An error occurred: {e}")