Delete logic.py

logic.py

@@ -1,35 +0,0 @@
-import google.generativeai as genai
-from dotenv import load_dotenv
-import os
-import time
-
-load_dotenv()
-GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
-genai.configure(api_key=GOOGLE_API_KEY)
-
-code_model = genai.GenerativeModel('gemini-1.5-flash')
-
-# Function to analyze video and audio together
-def analyze_with_audio_video(video_file, audio_file):
-    # Upload the video and audio files
-    my_video_file = genai.upload_file(path=video_file)
-    my_audio_file = genai.upload_file(path=audio_file)
-    
-    while my_video_file.state.name == "PROCESSING" or my_audio_file.state.name == "PROCESSING":
-        time.sleep(5)
-        my_video_file = genai.get_file(my_video_file.name)
-        my_audio_file = genai.get_file(my_audio_file.name)
-    
-    # Example prompt directly referencing user issues
-    prompt = f"""
-    The user is reporting an error in the code. Analyze the video '{my_video_file.name}' along with the audio '{my_audio_file.name}'.
-    Get the issue from the audio file and refer it to the video file and provide the solution
-    1. **Explanation of the Error**: Pinpoint the error mentioned by the user.
-    2. **Approach to Solve the Error**: Provide a step-by-step guide to resolve the error, using both video and audio data.
-    3. **Corrected Code**: Provide the corrected code, addressing the identified error.
-    4. **Summary**: Summarize the solution, ensuring clarity on how the error was fixed.
-    """
-
-    # Request content generation from Gemini model
-    response = code_model.generate_content([my_video_file, my_audio_file, prompt])
-    return response.text