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Create main.py
Browse filesupgraded script to be able to customize individually with own docs, also can scrap URLs, and has different APIS it can plug to like openAI, Anthropic, or grok.
main.py
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import gradio as gr
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# Placeholder function for chatbot response
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def chatbot(input_text):
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response = "Chatbot response: Hello! How can I help you today?"
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return response
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# Function to generate responses using openAI API
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def generate_openai_response(input_text):
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# Placeholder function for generating responses using openAI API
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response = "openAI response: This is an example response from openAI API."
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return response
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# Function to scrape information from URLs
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def scrape_url(url):
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# Placeholder function for web scraping
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scrapped_data = "Scrapped data from the URL: Example data"
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return scrapped_data
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# Function to analyze user-provided documents
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def analyze_document(document):
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# Placeholder function for document analysis
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analysis_result = "Analysis result of the document: Example analysis"
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return analysis_result
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# Function to execute code, equations, or scripts
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def execute_code(input_code):
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# Placeholder function for code execution
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execution_result = "Execution result of the code: Example output"
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return execution_result
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# Creating Gradio interfaces for each functionality
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chatbot_interface = gr.Interface(fn=chatbot, inputs="text", outputs="text", title="Chatbot")
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openai_interface = gr.Interface(fn=generate_openai_response, inputs="text", outputs="text", title="OpenAI API")
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scrape_url_interface = gr.Interface(fn=scrape_url, inputs="text", outputs="text", title="Web Scraping")
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analyze_document_interface = gr.Interface(fn=analyze_document, inputs="text", outputs="text", title="Document Analysis")
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execute_code_interface = gr.Interface(fn=execute_code, inputs="text", outputs="text", title="Code Execution")
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# Launching all interfaces
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chatbot_interface.launch(share=True)
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openai_interface.launch(share=True)
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scrape_url_interface.launch(share=True)
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analyze_document_interface.launch(share=True)
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execute_code_interface.launch(share=True)
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