melomba2 commited on
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9e5bf5a
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1 Parent(s): 9ab1919

Update app.py

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Files changed (1) hide show
  1. app.py +22 -4
app.py CHANGED
@@ -3,6 +3,7 @@ import gradio as gr
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  import requests
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  import inspect
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  import pandas as pd
 
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  # (Keep Constants as is)
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  # --- Constants ---
@@ -12,12 +13,29 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
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  # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
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  class BasicAgent:
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  def __init__(self):
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- print("BasicAgent initialized.")
 
 
 
 
 
 
 
 
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  def __call__(self, question: str) -> str:
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  print(f"Agent received question (first 50 chars): {question[:50]}...")
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- fixed_answer = "This is a default answer."
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- print(f"Agent returning fixed answer: {fixed_answer}")
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- return fixed_answer
 
 
 
 
 
 
 
 
 
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  def run_and_submit_all( profile: gr.OAuthProfile | None):
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  """
 
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  import requests
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  import inspect
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  import pandas as pd
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+ import google.generativeai as genai
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  # (Keep Constants as is)
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  # --- Constants ---
 
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  # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
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  class BasicAgent:
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  def __init__(self):
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+ print("Initializing Gemini Agent...")
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+ api_key = os.getenv("GOOGLE_API_KEY")
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+ if not api_key:
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+ raise ValueError("GOOGLE_API_KEY environment variable not set. Please set it in your Hugging Face Space secrets.")
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+
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+ genai.configure(api_key=api_key)
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+ self.model = genai.GenerativeModel('gemini-pro')
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+ print("Gemini Agent initialized successfully.")
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+
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  def __call__(self, question: str) -> str:
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  print(f"Agent received question (first 50 chars): {question[:50]}...")
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+ try:
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+ response = self.model.generate_content(question)
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+ answer = response.text
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+ print(f"Agent returning Gemini answer (first 50 chars): {answer[:50]}...")
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+ return answer
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+ except ValueError:
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+ # This can happen if the response was blocked.
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+ print("Response was blocked or content is not available.")
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+ return "The response was blocked by the content filter."
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+ except Exception as e:
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+ print(f"Error calling Gemini API: {e}")
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+ return f"Error during Gemini API call: {e}"
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  def run_and_submit_all( profile: gr.OAuthProfile | None):
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  """