Update app.py

app.py

@@ -1,18 +1,25 @@
-from transformers import pipeline
 import gradio as gr
+import requests
 
-pipe = pipeline("text2text-generation", model="google/flan-t5-base")
+# 🌐 Change this to your backend URL:
+BACKEND_URL = "http://localhost:8080/reason"  # if local
+# Or if deployed: "https://<your-backend-url>/reason"
 
 def reason(query):
-    response = pipe(
-        query,
-        max_length=120,
-        min_length=30,
-        temperature=0.7,
-        top_p=0.9,
-        do_sample=True,
-    )[0]["generated_text"]
-    return response
+    try:
+        response = requests.post(BACKEND_URL, json={"query": query}, timeout=60)
+        response.raise_for_status()
+        data = response.json()
+        return data.get("response", "⚠️ No response field in backend reply")
+    except Exception as e:
+        return f"⚠️ Error contacting backend: {e}"
+
+iface = gr.Interface(
+    fn=reason,
+    inputs=gr.Textbox(label="Enter your research query"),
+    outputs="text",
+    title="AEGIS Agentic Reasoner",
+    description="This interface sends your query to the AEGIS backend for reasoning."
+)
 
-iface = gr.Interface(fn=reason, inputs="text", outputs="text", title="AEGIS Reasoner")
 iface.launch()