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Upload app.py
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app.py
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@@ -35,13 +35,28 @@ def factgenerator(text, num_facts, openaikey):
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with gr.Blocks() as demo:
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gr.Markdown(
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"""
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""")
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with gr.Row():
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with gr.Column():
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text = gr.Textbox(lines = 5, placeholder = "PM Modi to visit Tripura tomorrow; govt expects 72,000 to attend his public meeting", label = "
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num_facts = gr.Dropdown([1, 2, 3, 4, 5],label="Click here to select Number of facts for each entity", value = 1)
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openaikey = gr.Textbox(lines = 1, label = "Enter Openai Key")
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text_button = gr.Button("Submit")
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with gr.Blocks() as demo:
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gr.Markdown(
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"""
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<h1><center><b>FactGen</center></h1>
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""")
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gr.Markdown(
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"""
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To get a better understanding of the text, this app gives facts about the entities present in the text. It uses OpenAI GPT3 in the backend, get your
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<a href = "https://beta.openai.com/account/api-keys">Openai key here</a> \n
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""")
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gr.Markdown(
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"""
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**To use this space effectively**
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<br>- Enter your text in the input box or select one of the examples at the bottom.
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<br>- Use dropdown to select the number of facts per entity.
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<br>- Enter your openai key </br>
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Please refer to the GitHub repo this Space is based on, here - <a href = "https://github.com/ravi03071991/FactGen">FactGen</a> .
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"""
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)
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with gr.Row():
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with gr.Column():
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text = gr.Textbox(lines = 5, placeholder = "PM Modi to visit Tripura tomorrow; govt expects 72,000 to attend his public meeting", label = "Input")
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num_facts = gr.Dropdown([1, 2, 3, 4, 5],label="Click here to select Number of facts for each entity", value = 1)
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openaikey = gr.Textbox(lines = 1, label = "Enter Openai Key")
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text_button = gr.Button("Submit")
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