Create app.py

app.py

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+import gradio as gr
+from eldersafe_pipeline import run_eldersafe
+
+# Gradio supports async functions, so we can await the pipeline directly.
+async def eldersafe_interface(message: str, session_id: str):
+    if not message.strip():
+        return "Please paste a WhatsApp / social media message to analyze."
+
+    if not session_id.strip():
+        session_id = "default-session"
+
+    result = await run_eldersafe(message, session_id)
+
+    clean_claim = result.get("clean_claim", "")
+    final_report = result.get("final_report", "")
+    memory_context = result.get("memory_context", "")
+
+    md = f"### 🔍 Viral Message Analyzed\n> *{clean_claim}*\n\n"
+    md += f"{final_report}\n"
+
+    if memory_context and "No previous checks" not in str(memory_context):
+        md += "\n---\n**📜 Your Recent Checks:**\n"
+        md += str(memory_context)
+
+    return md
+
+
+title = "🧓 ElderSafe – Fake News Evidence Mapping Agent"
+description = """
+Paste any WhatsApp or social media forward, and ElderSafe will:
+- Extract the main claim
+- Search for evidence
+- Show a clear verdict
+- Explain it in simple terms for elderly users
+"""
+
+with gr.Blocks() as demo:
+    gr.Markdown(f"# {title}")
+    gr.Markdown(description)
+
+    with gr.Row():
+        msg = gr.Textbox(
+            label="Paste WhatsApp / Social Media Message",
+            lines=6,
+            placeholder="e.g. NASA has selected an Indian Ayurvedic doctor for space medicine research.",
+        )
+        session_id = gr.Textbox(
+            label="Session ID (optional)",
+            value="nasa-session-v2",
+            placeholder="Use same ID to keep history together",
+        )
+
+    output = gr.Markdown(label="Verification Report")
+
+    analyze_btn = gr.Button("🔎 Analyze Message")
+
+    analyze_btn.click(
+        fn=eldersafe_interface,
+        inputs=[msg, session_id],
+        outputs=output,
+    )
+
+if __name__ == "__main__":
+    demo.launch()