Ishanpardeshi commited on
Commit
367ccd7
1 Parent(s): 9e1cfa4

Update app.py

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Files changed (1) hide show
  1. app.py +16 -4
app.py CHANGED
@@ -9,7 +9,7 @@ from langchain.agents.agent_types import AgentType
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  from langchain_experimental.agents.agent_toolkits import create_csv_agent
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  import os
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- API_KEY=os.getenv['GOOGLE_API_KEY']
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  # API keys-----------------move them to ENV
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  os.environ["OPENAI_API_KEY"] = "NA"
@@ -211,9 +211,21 @@ interface = gr.Interface(
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  gr.Textbox(label="Expected Output")
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  ],
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  outputs="text",
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- title="File Analyzer",
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- description="Upload a file (CSV, PDF, DOCX, TXT, JSON) and enter your query to get detailed information."
 
 
 
 
 
 
 
 
 
 
 
 
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  )
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  # Launch the Gradio interface
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- interface.launch()
 
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  from langchain_experimental.agents.agent_toolkits import create_csv_agent
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  import os
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+ API_KEY=os.getenv("GOOGLE_API_KEY")
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  # API keys-----------------move them to ENV
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  os.environ["OPENAI_API_KEY"] = "NA"
 
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  gr.Textbox(label="Expected Output")
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  ],
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  outputs="text",
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+ title="DataWizardZ",
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+ description=(
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+ "Upload a file (CSV, PDF, DOCX, TXT, JSON) and enter your query to get detailed information.\n\n"
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+ "### Instructions:\n"
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+ "1. Upload the file you want to talk to.\n"
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+ "2. Enter your question in the Query field.\n"
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+ "3. Specify the desired output format, e.g., one line answer.\n"
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+ "4. Please be patient; it can take up to 300ms for effective results, especially for large files or one-word answers.\n"
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+ "5. Please note that DO NOT specify Expected Output for .CSV Files."
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+ ),
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+ examples=[
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+ ["LabManual_cnn.pdf", "How to setup wired LAN", "A short summary"],
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+ ["house_prices.csv", "What is the average price of houses in Thane"]
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+ ]
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  )
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  # Launch the Gradio interface
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+ interface.launch()