now should be working

app.py

@@ -10,7 +10,7 @@ import numexpr
 from typing import TypedDict, Annotated
 
 # --- Langchain & HF Imports ---
-from langchain_community.llms import HuggingFaceHub
+from langchain_huggingface import HuggingFaceEndpoint
 from langchain_community.tools import DuckDuckGoSearchRun
 from langchain_core.prompts import PromptTemplate
 from langchain_core.output_parsers import StrOutputParser
@@ -118,13 +118,20 @@ class GaiaAgent:
             image_analyzer,
             youtube_transcript_reader,
         ]
-        logging.info("Initializing LLM via HuggingFaceHub...")
-        llm = HuggingFaceHub(
-            repo_id="mistralai/Mistral-7B-Instruct-v0.2",  # Using a well-supported model
-            model_kwargs={"temperature": 0.1, "max_new_tokens": 1024},
-            huggingfacehub_api_token=os.getenv("HUGGING_FACE_HUB_TOKEN"),
+
+        # --- THIS IS THE CORRECTED LLM INITIALIZATION ---
+        logging.info("Initializing LLM via modern HuggingFaceEndpoint...")
+
+        llm = HuggingFaceEndpoint(
+            repo_id="HuggingFaceH4/zephyr-7b-beta",
+            temperature=0.1,
+            max_new_tokens=1024,
+            huggingfacehub_api_token=os.getenv("HUGGINGFACEHUB_API_TOKEN"),
         )
+
         logging.info("LLM initialized successfully.")
+
+        # The rest of the class remains the same
         prompt = PromptTemplate(
             template=SYSTEM_PROMPT
             + "\nHere is the current conversation:\n{messages}\n\nQuestion: {question}",
@@ -219,23 +226,37 @@ class GaiaAgent:
             return f"Error during agent invocation: {e}"
 
 
+# In app.py
+
+# ... (keep all the code above this function)
+
+
 def run_and_submit_all(profile: gr.OAuthProfile | None):
     if not profile:
         return "Please Login to Hugging Face with the button.", None
     username = profile.username
     logging.info(f"User logged in: {username}")
+
     space_id = os.getenv("SPACE_ID")
+    if not space_id:
+        space_id = "leofltt/HF_Agents_Final_Assignment"
+        logging.warning(f"SPACE_ID not found, using fallback for local run: {space_id}")
+
     if not space_id:
         return "CRITICAL ERROR: SPACE_ID environment variable is not set.", None
+
     api_url = DEFAULT_API_URL
     questions_url = f"{api_url}/questions"
     submit_url = f"{api_url}/submit"
+
     try:
         agent = GaiaAgent()
     except Exception as e:
         logging.critical(f"Fatal error instantiating agent: {e}", exc_info=True)
         return f"Fatal error initializing agent: {e}", None
+
     agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
+
     logging.info(f"Fetching questions from: {questions_url}")
     try:
         response = requests.get(questions_url, timeout=20)
@@ -243,18 +264,26 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
         questions_data = response.json()
         if not questions_data:
             return "Fetched questions list is empty.", None
-        logging.info(f"Fetched {len(questions_data)} questions.")
+        logging.info(f"Successfully fetched {len(questions_data)} questions.")
     except Exception as e:
         return f"Error fetching questions: {e}", None
+
+    # --- MODIFICATION FOR DEBUGGING ---
+    # We will only process the first question from the list.
+    questions_to_process = [questions_data[0]]
+    logging.info(
+        f"DEBUG MODE: Processing only the first question out of {len(questions_data)}."
+    )
+    # --- END OF MODIFICATION ---
+
     results_log = []
     answers_payload = []
-    logging.info(f"Running agent on {len(questions_data)} questions...")
-    for i, item in enumerate(questions_data):
+
+    # The loop now runs only once.
+    for i, item in enumerate(questions_to_process):
         task_id = item.get("task_id")
         question_text = item.get("question")
-        logging.info(
-            f"--- Processing question {i+1}/{len(questions_data)} (Task ID: {task_id}) ---"
-        )
+        logging.info(f"--- Processing question (Task ID: {task_id}) ---")
         if not task_id or question_text is None:
             continue
         try:
@@ -278,20 +307,29 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
                     "Submitted Answer": f"AGENT ERROR: {e}",
                 }
             )
+            # Also return the error in the status for immediate feedback
+            return f"Agent failed on the first question with error: {e}", pd.DataFrame(
+                results_log
+            )
+
     if not answers_payload:
-        return "Agent did not produce any answers.", pd.DataFrame(results_log)
+        return "Agent did not produce an answer for the first question.", pd.DataFrame(
+            results_log
+        )
+
     submission_data = {
         "username": username.strip(),
         "agent_code": agent_code,
         "answers": answers_payload,
     }
-    logging.info(f"Submitting {len(answers_payload)} answers for user '{username}'...")
+    logging.info(f"Submitting {len(answers_payload)} answer for user '{username}'...")
+
     try:
         response = requests.post(submit_url, json=submission_data, timeout=60)
         response.raise_for_status()
         result_data = response.json()
         final_status = (
-            f"Submission Successful!\n"
+            f"Submission Successful (for one question)!\n"
             f"User: {result_data.get('username')}\n"
             f"Overall Score: {result_data.get('score', 'N/A')}% "
             f"({result_data.get('correct_count', '?')}/{result_data.get('total_attempted', '?')} correct)\n"

requirements.txt

@@ -1,16 +1,28 @@
-gradio==5.25.2
+# --- Core Web & Gradio Framework (Known Stable) ---
+gradio==4.36.1
+fastapi==0.110.0
+pydantic==2.7.4
+uvicorn==0.29.0
+aiohttp==3.9.5 # Dependency of Gradio
+
+# --- Core LangChain Agent & LLM Libs ---
 langchain
-langgraph
-langchain-huggingface
+langchain-core==0.2.22
 langchain-community
-duckduckgo-search
-numexpr
-transformers
---extra-index-url https://download.pytorch.org/whl/cpu
-torch
-torchvision
-torchaudio
-pytube
-sentencepiece
-accelerate 
+langchain-huggingface==0.0.3
+huggingface-hub==0.24.1
+langgraph==0.0.69 # CORRECTED VERSION
+transformers==4.42.4
+
+# --- Tools and Data Handling ---
+torch==2.3.1
+torchvision==0.18.1
+torchaudio==2.3.1
+duckduckgo-search==6.1.8
+numexpr==2.10.1
+pandas==2.2.2
+requests==2.32.3
+pytube==15.0.0
+sentencepiece==0.2.0
+accelerate==0.32.1
 gradio[oauth]