Update app.py

app.py

@@ -1,56 +1,99 @@
 import os
 import gradio as gr
 import requests
-import inspect
 import pandas as pd
-from smolagents import (
-    DuckDuckGoSearchTool,
-    CodeAgent,
-    InferenceClientModel,
-)
+from pydub import AudioSegment
+from agent import Agent
+import speech_recognition as sr
+from dotenv import load_dotenv
 
 # (Keep Constants as is)
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
+api_url = DEFAULT_API_URL
 
-# --- Basic Agent Definition ---
-# ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
-class BasicAgent:
-    def __init__(self):
+load_dotenv()
 
-        webTool = DuckDuckGoSearchTool()
-        token = os.getenv("HF_TOKEN")
-        model = InferenceClientModel("Qwen/Qwen2.5-72B-Instruct", token=token)
 
-        agent = CodeAgent(
-            tools=[webTool], model=model
-        )
+def get_questions():
+    questions_url = f"{api_url}/questions"
+    response = requests.get(questions_url, timeout=15)
+    response.raise_for_status()
 
-        self.agent = agent
+    return response.json()
 
-        print("BasicAgent initialized.")
 
-    def __call__(self, question: str) -> str:
-        print(f"Agent received question (first 50 chars): {question[:50]}...")
+def file_exists_check(file_path):
+    """Check if a file exists at the given path."""
+    return os.path.exists(file_path)
 
-        answer = self.agent.run(
-            "You must answer the question exactly, with a single word. For example: '4' or 'Paris'. The question is: "
-            + question
-        )
-        
-        print(f"Agent returning fixed answer: {answer}")
-        return answer
 
-def run_and_submit_all( profile: gr.OAuthProfile | None):
+def download_file(task_id, target_filename):
+    file_exists = file_exists_check(target_filename)
+
+    if file_exists:
+        print(f"Skipping download {target_filename}")
+        return target_filename
+
+    questions_url = f"{api_url}/files/{task_id}"
+    response = requests.get(questions_url, timeout=15)
+    response.raise_for_status()
+
+    # Save the file content to "file.mp3"
+    with open(target_filename, "wb") as file:
+        file.write(response.content)
+
+
+def extract_data_from_excel(filename):
+    target_file = "temp.json"
+    # Read the Excel file
+    df = pd.read_excel(filename)
+
+    # Convert to JSON and save
+    df.to_json(target_file, orient="records", indent=2)
+
+    print(f"Converted {filename} to {target_file}")
+
+    with open(target_file, "r") as file:
+        return file.read()
+
+
+def extract_code_from_file(filename):
+    with open(filename, "r") as file:
+        return file.read()
+
+
+def convert_from_mp3_to_wav(sourceFile, targetFile):
+    # convert mp3 file to wav
+    sound = AudioSegment.from_mp3(sourceFile)
+    sound.export(targetFile, format="wav")
+
+
+def read_audio(filename):
+    # use the audio file as the audio source
+    r = sr.Recognizer()
+    with sr.AudioFile(filename) as source:
+        audio = r.record(source)  # read the entire audio file
+
+        return r.recognize_google(audio)
+
+
+def transcribe(filename):
+    wav_filename = "transcript.wav"
+    convert_from_mp3_to_wav(filename, wav_filename)
+    return read_audio(wav_filename)
+
+
+def run_and_submit_all(profile: gr.OAuthProfile | None):
     """
     Fetches all questions, runs the BasicAgent on them, submits all answers,
     and displays the results.
     """
     # --- Determine HF Space Runtime URL and Repo URL ---
-    space_id = os.getenv("SPACE_ID") # Get the SPACE_ID for sending link to the code
+    space_id = os.getenv("SPACE_ID")  # Get the SPACE_ID for sending link to the code
 
     if profile:
-        username= f"{profile.username}"
+        username = f"{profile.username}"
         print(f"User logged in: {username}")
     else:
         print("User not logged in.")
@@ -62,7 +105,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
 
     # 1. Instantiate Agent ( modify this part to create your agent)
     try:
-        agent = BasicAgent()
+        agent = Agent()
     except Exception as e:
         print(f"Error instantiating agent: {e}")
         return f"Error initializing agent: {e}", None
@@ -77,16 +120,16 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
         response.raise_for_status()
         questions_data = response.json()
         if not questions_data:
-             print("Fetched questions list is empty.")
-             return "Fetched questions list is empty or invalid format.", None
+            print("Fetched questions list is empty.")
+            return "Fetched questions list is empty or invalid format.", None
         print(f"Fetched {len(questions_data)} questions.")
     except requests.exceptions.RequestException as e:
         print(f"Error fetching questions: {e}")
         return f"Error fetching questions: {e}", None
     except requests.exceptions.JSONDecodeError as e:
-         print(f"Error decoding JSON response from questions endpoint: {e}")
-         print(f"Response text: {response.text[:500]}")
-         return f"Error decoding server response for questions: {e}", None
+        print(f"Error decoding JSON response from questions endpoint: {e}")
+        print(f"Response text: {response.text[:500]}")
+        return f"Error decoding server response for questions: {e}", None
     except Exception as e:
         print(f"An unexpected error occurred fetching questions: {e}")
         return f"An unexpected error occurred fetching questions: {e}", None
@@ -99,26 +142,68 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
         task_id = item.get("task_id")
         question_text = item.get("question")
         question_file = item.get("file_name")
-        if question_file != "":
-            print("skipping question with file")
-            continue
+        has_file = question_file != ""
+        is_mp3 = question_file.endswith(".mp3")
+        is_py = question_file.endswith(".py")
+        is_excel = question_file.endswith(".xlsx")
+
         if not task_id or question_text is None:
             print(f"Skipping item with missing task_id or question: {item}")
             continue
         try:
-            submitted_answer = agent(question_text)
-            answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
-            results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
+            if has_file and is_mp3:
+                download_file(task_id, question_file)
+                transcript = transcribe(question_file)
+                question_text += f"\nThe questions has an audio transcript. It goes like this: {transcript}"
+            if has_file and is_py:
+                download_file(task_id, question_file)
+                code = extract_code_from_file(question_file)
+                question_text += f"\nThe questions contains python code: {code}"
+            if has_file and is_excel:
+                download_file(task_id, question_file)
+                data = extract_data_from_excel(question_file)
+                question_text += f"\nThe questions contains data: {data}"
+
+            raw_answer = agent(question_text)
+
+            if isinstance(raw_answer, str) and "AGENT ERROR" in raw_answer:
+                print("retry")
+                raw_answer = agent(question_text)
+
+            # if isinstance(raw_answer, str):
+            #     submitted_answer = raw_answer.split("</think>")[-1].strip()
+            # else:
+                # submitted_answer = raw_answer
+            answers_payload.append(
+                {"task_id": task_id, "submitted_answer": raw_answer}
+            )
+            results_log.append(
+                {
+                    "Task ID": task_id,
+                    "Question": question_text,
+                    "Submitted Answer": raw_answer,
+                }
+            )
         except Exception as e:
-             print(f"Error running agent on task {task_id}: {e}")
-             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"AGENT ERROR: {e}"})
+            print(f"Error running agent on task {task_id}: {e}")
+            results_log.append(
+                {
+                    "Task ID": task_id,
+                    "Question": question_text,
+                    "Submitted Answer": f"AGENT ERROR: {e}",
+                }
+            )
 
     if not answers_payload:
         print("Agent did not produce any answers to submit.")
         return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
 
-    # 4. Prepare Submission 
-    submission_data = {"username": username.strip(), "agent_code": agent_code, "answers": answers_payload}
+    # 4. Prepare Submission
+    submission_data = {
+        "username": username.strip(),
+        "agent_code": agent_code,
+        "answers": answers_payload,
+    }
     status_update = f"Agent finished. Submitting {len(answers_payload)} answers for user '{username}'..."
     print(status_update)
 
@@ -136,6 +221,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
             f"Message: {result_data.get('message', 'No message received.')}"
         )
         print("Submission successful.")
+        print(final_status)
         results_df = pd.DataFrame(results_log)
         return final_status, results_df
     except requests.exceptions.HTTPError as e:
@@ -188,20 +274,19 @@ with gr.Blocks() as demo:
 
     run_button = gr.Button("Run Evaluation & Submit All Answers")
 
-    status_output = gr.Textbox(label="Run Status / Submission Result", lines=5, interactive=False)
+    status_output = gr.Textbox(
+        label="Run Status / Submission Result", lines=5, interactive=False
+    )
     # Removed max_rows=10 from DataFrame constructor
     results_table = gr.DataFrame(label="Questions and Agent Answers", wrap=True)
 
-    run_button.click(
-        fn=run_and_submit_all,
-        outputs=[status_output, results_table]
-    )
+    run_button.click(fn=run_and_submit_all, outputs=[status_output, results_table])
 
 if __name__ == "__main__":
-    print("\n" + "-"*30 + " App Starting " + "-"*30)
+    print("\n" + "-" * 30 + " App Starting " + "-" * 30)
     # Check for SPACE_HOST and SPACE_ID at startup for information
     space_host_startup = os.getenv("SPACE_HOST")
-    space_id_startup = os.getenv("SPACE_ID") # Get SPACE_ID at startup
+    space_id_startup = os.getenv("SPACE_ID")  # Get SPACE_ID at startup
 
     if space_host_startup:
         print(f"✅ SPACE_HOST found: {space_host_startup}")
@@ -209,14 +294,18 @@ if __name__ == "__main__":
     else:
         print("ℹ️  SPACE_HOST environment variable not found (running locally?).")
 
-    if space_id_startup: # Print repo URLs if SPACE_ID is found
+    if space_id_startup:  # Print repo URLs if SPACE_ID is found
         print(f"✅ SPACE_ID found: {space_id_startup}")
         print(f"   Repo URL: https://huggingface.co/spaces/{space_id_startup}")
-        print(f"   Repo Tree URL: https://huggingface.co/spaces/{space_id_startup}/tree/main")
+        print(
+            f"   Repo Tree URL: https://huggingface.co/spaces/{space_id_startup}/tree/main"
+        )
     else:
-        print("ℹ️  SPACE_ID environment variable not found (running locally?). Repo URL cannot be determined.")
+        print(
+            "ℹ️  SPACE_ID environment variable not found (running locally?). Repo URL cannot be determined."
+        )
 
-    print("-"*(60 + len(" App Starting ")) + "\n")
+    print("-" * (60 + len(" App Starting ")) + "\n")
 
     print("Launching Gradio Interface for Basic Agent Evaluation...")
-    demo.launch(debug=True, share=False)
+    demo.launch(debug=True, share=False)