Update app.py

app.py

@@ -1,50 +1,58 @@
-import requests
-import gradio as gr
-
-# API Configuration
-api_key = "sk-6Ng7YDAkl0D5z20vAh7tPkmWn5hCTcZGIcl_wRiQ5NQ"  # replace with your actual key
-url = "http://localhost:7860/api/v1/run/30d9ce86-194f-44ba-a15a-f822c3ac4f57"  # LangFlow endpoint
-
-def query_langflow(user_input):
-    payload = {
-        "output_type": "chat",
-        "input_type": "chat",
-        "input_value": user_input
-    }
-
-    headers = {
-        "Content-Type": "application/json",
-        "x-api-key": api_key
-    }
-
-    try:
-        response = requests.post(url, json=payload, headers=headers)
-        response.raise_for_status()
-        data = response.json()
-
-        # Adjust based on actual LangFlow response structure
-        if isinstance(data, dict):
-            return data.get("outputs", data)  
-        return str(data)
-
-    except requests.exceptions.RequestException as e:
-        return f"❌ API request failed: {e}"
-    except ValueError as e:
-        return f"⚠️ Error parsing response: {e}"
-
-# Gradio UI
-with gr.Blocks() as demo:
-    gr.Markdown("## 🚀 LangFlow Chat with Gradio")
-
-    chatbot = gr.Chatbot()
-    msg = gr.Textbox(placeholder="Ask something...")
-
-    def chat(user_input, history):
-        response = query_langflow(user_input)
-        history.append((user_input, response))
-        return history, ""
-
-    msg.submit(chat, [msg, chatbot], [chatbot, msg])
-
-# 🚀 This will show BOTH: local URL + public .gradio.live URL
-demo.launch(server_name="127.0.0.1", server_port=7861, share=True)
+import requests
+import gradio as gr
+from pyngrok import ngrok
+import os
+
+# 🔑 Set NGROK token
+os.environ["NGROK_AUTHTOKEN"] = "33Jqcou6HvfbAEgNa8h20QTpyWx_H4VDZ6RewUx96owPmgdC"
+ngrok.set_auth_token(os.environ["NGROK_AUTHTOKEN"])
+
+# API Configuration
+api_key = "sk-6Ng7YDAkl0D5z20vAh7tPkmWn5hCTcZGIcl_wRiQ5NQ"
+url = "http://localhost:7860/api/v1/run/30d9ce86-194f-44ba-a15a-f822c3ac4f57"
+
+def query_langflow(user_input):
+    payload = {
+        "output_type": "chat",
+        "input_type": "chat",
+        "input_value": user_input
+    }
+
+    headers = {
+        "Content-Type": "application/json",
+        "x-api-key": api_key
+    }
+
+    try:
+        response = requests.post(url, json=payload, headers=headers)
+        response.raise_for_status()
+        data = response.json()
+        if isinstance(data, dict):
+            return data.get("outputs", data)  
+        return str(data)
+
+    except requests.exceptions.RequestException as e:
+        return f"❌ API request failed: {e}"
+    except ValueError as e:
+        return f"⚠️ Error parsing response: {e}"
+
+# Gradio UI
+with gr.Blocks() as demo:
+    gr.Markdown("## 🚀 LangFlow Chat with Gradio + Ngrok")
+
+    chatbot = gr.Chatbot()
+    msg = gr.Textbox(placeholder="Ask something...")
+
+    def chat(user_input, history):
+        response = query_langflow(user_input)
+        history.append((user_input, response))
+        return history, ""
+
+    msg.submit(chat, [msg, chatbot], [chatbot, msg])
+
+# Launch Gradio on fixed port
+port = 7861
+public_url = ngrok.connect(port, "http").public_url
+print(f"🌍 Public URL (Ngrok): {public_url}")
+
+demo.launch(server_name="0.0.0.0", server_port=port)