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Update app.py
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app.py
CHANGED
@@ -6,7 +6,7 @@ import os
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os.environ["TOKENIZERS_PARALLELISM"] = "false"
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# Initialize paths and model identifiers for easy configuration and maintenance
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filename = "output_topic_details.txt" # Path to the file storing
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retrieval_model_name = 'output/sentence-transformer-finetuned/'
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openai.api_key = os.environ["OPENAI_API_KEY"]
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@@ -64,10 +64,10 @@ def find_relevant_segment(user_query, segments):
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def generate_response(user_query, relevant_segment):
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"""
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Generate a response emphasizing the bot's capability in providing
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"""
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try:
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user_message = f"Here's the information on
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# Append user's message to messages list
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messages.append({"role": "user", "content": user_message})
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@@ -137,5 +137,5 @@ with gr.Blocks(theme='JohnSmith9982/small_and_pretty') as demo:
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submit_button.click(fn=query_model, inputs=question, outputs=answer)
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# Launch the Gradio app to allow user interaction
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demo.launch(share=True)
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os.environ["TOKENIZERS_PARALLELISM"] = "false"
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# Initialize paths and model identifiers for easy configuration and maintenance
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filename = "output_topic_details.txt" # Path to the file storing marine sustainability-specific details
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retrieval_model_name = 'output/sentence-transformer-finetuned/'
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openai.api_key = os.environ["OPENAI_API_KEY"]
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def generate_response(user_query, relevant_segment):
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"""
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Generate a response emphasizing the bot's capability in providing marine conservation information.
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"""
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try:
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user_message = f"Here's the information on marine conservation: {relevant_segment}"
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# Append user's message to messages list
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messages.append({"role": "user", "content": user_message})
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submit_button.click(fn=query_model, inputs=question, outputs=answer)
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# Launch the Gradio app to allow user interaction
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demo.launch(share=True)
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