saritha commited on
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88f41cb
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1 Parent(s): 638394b

Update app.py

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  1. app.py +21 -13
app.py CHANGED
@@ -41,15 +41,30 @@ def initialize(pdf_file, question):
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  # Load the GeminiPro model
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  model = genai.GenerativeModel('gemini-pro')
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- # ... rest of your code for processing context and question
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- # Generate answer using GeminiPro's predict method (replace with the appropriate method)
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- generated_answer = model.predict(inputs=prompt) # Assuming a 'predict' method
 
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- # Extract the answer (parse the output from 'predict')
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- # ... (implementation depends on the model's output format)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- return generated_answer
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  else:
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  return "Error: The uploaded file could not be found."
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  else:
@@ -72,10 +87,3 @@ interface = gr.Interface(
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  # Launch the interface
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  interface.launch()
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-
 
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  # Load the GeminiPro model
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  model = genai.GenerativeModel('gemini-pro')
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+ # Option 1: Using GeminiPro's Text Generation (if applicable)
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+ # Check if the model has a 'generate' method (or similar) - adjust based on actual method
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+ if hasattr(model, 'generate'):
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+ # Process context and question (already done)
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+ # Generate answer using GeminiPro's generate method
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+ generated_answer = model.generate(prompt=prompt) # Replace with the appropriate method
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+
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+ # Extract the answer (parse the output from 'generate')
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+ # ... (implementation depends on the model's output format)
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+
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+ return generated_answer
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+
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+ # Option 2: Alternative LLM Integration (if GeminiPro methods not suitable)
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+
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+ # Replace this section with code using an alternative library/framework
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+ # for question answering (e.g., transformers, haystack)
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+ # Ensure the code integrates with your chosen LLM and handles context processing,
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+ # question answering, and answer extraction.
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+
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+ # Example placeholder (replace with your actual implementation):
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+ # return "Alternative LLM integration not yet implemented."
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  else:
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  return "Error: The uploaded file could not be found."
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  else:
 
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  # Launch the interface
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  interface.launch()