Update app.py

app.py

@@ -1,11 +1,6 @@
 import gradio as gr
 import requests
 import json
-
-# Function to interact with Vectara API
-import gradio as gr
-import requests
-import json
 from decouple import config  # Import config from python-decouple
 
 # Function to interact with Vectara API
@@ -30,7 +25,7 @@ def query_vectara(question, chat_history, uploaded_file):
     if response.status_code == 200:
         upload_status = "File uploaded successfully"
     else:
-        upload_status = "Failed to upload file"
+        upload_status = "Failed to upload the file"
 
     # Get the user's message from the chat history
     user_message = chat_history[-1][0]
@@ -42,17 +37,15 @@ def query_vectara(question, chat_history, uploaded_file):
                 "start": 0,
                 "numResults": 10,
                 "corpusKey": [
-    else:
-        return {"error": "Failed to query Vectara API"}
-
-# Create a Gradio ChatInterface
-iface = gr.ChatInterface(
-    fn=query_vectara,
-    examples=["Hello", "What is the weather today?", "Tell me a joke"],
-    title="Vectara Chatbot",
-    description="Ask me anything using the Vectara API!",
-
-)
+                    {
+                        "customerId": customer_id,
+                        "corpusId": corpus_id,
+                        "lexicalInterpolationConfig": {"lambda": 0.025}
+                    }
+                ]
+            }
+        ]
+    }
 
     api_endpoint = "https://api.vectara.io/v1/query"
     return f"{upload_status}\n\nResponse from Vectara API: {response.text}"
@@ -67,5 +60,5 @@ iface = gr.Interface(
     outputs=gr.outputs.Textbox(),
     examples=["Hello", "What is the weather today?", "Tell me a joke"],
     title="Vectara Chatbot",
-    description="Ask me anything using the Vectara API!",
-)
+    description="Ask me anything using the Vectara API!"
+)