Update app.py

app.py

@@ -2,8 +2,8 @@ import gradio as gr
 from huggingface_hub import InferenceClient
 import os
 
-# 🔑 Load Hugging Face API Token from environment variable
-HF_API_TOKEN = os.getenv("HF_API_TOKEN")  # Ensure this is set
+# 🔑 Load Hugging Face API Token
+HF_API_TOKEN = os.getenv("HF_API_TOKEN")
 
 # Initialize Hugging Face model client with authentication
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta", token=HF_API_TOKEN)
@@ -16,9 +16,13 @@ SYSTEM_MESSAGE = (
 
 # Function to handle chatbot responses
 def respond(message, history):
-    # Convert history into OpenAI-style messages
+    # Ensure history is a list of tuples
+    if not isinstance(history, list):
+        history = []
+
     messages = [{"role": "system", "content": SYSTEM_MESSAGE}]
     
+    # Ensure history is correctly formatted
     for user, bot in history:
         messages.append({"role": "user", "content": user})
         messages.append({"role": "assistant", "content": bot})
@@ -27,9 +31,13 @@ def respond(message, history):
 
     # Get response from Hugging Face model
     response = client.chat_completion(messages, max_tokens=200, temperature=0.7)
-    bot_reply = response.choices[0].message.content
 
-    history.append((message, bot_reply))  # ✅ Ensure return matches Gradio format
+    # Extract text from API response
+    bot_reply = response.choices[0].message.content.strip()
+
+    # ✅ Append correctly formatted tuple to history
+    history.append((message, bot_reply))
+
     return history, bot_reply
 
 # Create Gradio chatbot UI