Update app.py

app.py

@@ -3,9 +3,11 @@ import json
 import streamlit as st
 from huggingface_hub import InferenceClient
 from dotenv import load_dotenv
+import traceback
 
 # Load environment variables
 load_dotenv()
+
 hf_token = os.getenv("HUGGINGFACEHUB_API_TOKEN")
 client = InferenceClient(provider="auto", api_key=hf_token)
 
@@ -33,8 +35,8 @@ if "incorrect_count" not in st.session_state:
 st.sidebar.header("Practice Topic")
 st.session_state.topic = st.sidebar.selectbox(
     "Select a topic:",
-    ["Machine Learning","Data Structures","Python","Generative AI","Computer Vision","Deep Learning"],
-    index=["Machine Learning","Data Structures","Python","Generative AI","Computer Vision","Deep Learning"].index(st.session_state.topic)
+    ["Machine Learning", "Data Structures", "Python", "Generative AI", "Computer Vision", "Deep Learning"],
+    index=["Machine Learning", "Data Structures", "Python", "Generative AI", "Computer Vision", "Deep Learning"].index(st.session_state.topic)
 )
 st.sidebar.markdown("---")
 st.sidebar.header("Your Score")
@@ -43,13 +45,14 @@ st.sidebar.markdown(f"**Correct:** {st.session_state.correct_count}")
 st.sidebar.markdown(f"**Incorrect:** {st.session_state.incorrect_count}")
 st.sidebar.markdown(f"**Points:** {st.session_state.score}")
 
-# Function to fetch an MCQ question with debug logging
+# Function to fetch an MCQ question with enhanced debug logging
+
 def fetch_question(topic):
     prompt = {
         "role": "system",
         "content": (
             f"You are an expert interviewer. Generate a multiple-choice question on the topic of {topic}. "
-            "Respond with a JSON object: {\"question\": str, \"options\": [str, ...], \"correct_index\": int}."
+            "Respond ONLY with a valid JSON object: {\"question\": str, \"options\": [str,...], \"correct_index\": int}."
         )
     }
     try:
@@ -57,26 +60,34 @@ def fetch_question(topic):
             model="mistralai/Mistral-7B-Instruct-v0.1",
             messages=[prompt]
         )
-        content = response.choices[0].message["content"].strip()
-        # Debug: show raw response
-        st.write("**[DEBUG] Raw response:**")
+        # Debug: show full response for tracing
+        st.write("**[DEBUG] Full response object:**")
+        st.json(response.to_dict())
+        content = response.choices[0].message.get("content", "").strip()
+        st.write("**[DEBUG] Raw content:**")
         st.code(content)
+    except Exception as e:
+        st.error(f"Error during API call: {e}")
+        st.text(traceback.format_exc())
+        return None
+    # Attempt JSON parsing
+    try:
         data = json.loads(content)
+    except json.JSONDecodeError as jde:
+        st.error(f"JSON decode error: {jde}")
+        st.write("**[DEBUG] Content that failed JSON parsing:**")
+        st.code(content)
+        return None
     except Exception as e:
-        st.error(f"Failed to fetch or parse question: {e}")
-        # If content exists, display it for debugging
-        try:
-            st.write("**[DEBUG] Last content before error:**")
-            st.code(content)
-        except Exception:
-            pass
+        st.error(f"Unexpected parsing error: {e}")
+        st.text(traceback.format_exc())
         return None
     # Validate structure
     question = data.get("question")
     options = data.get("options")
     correct_index = data.get("correct_index")
-    if not question or not isinstance(options, list) or correct_index is None:
-        st.error("Invalid question structure.")
+    if not question or not isinstance(options, list) or not isinstance(correct_index, int):
+        st.error("Invalid question structure: missing keys or wrong types.")
         st.write("**[DEBUG] Parsed JSON:**")
         st.json(data)
         return None